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Annotated Readings in Social Security
  • Author : United States. Social Security Administration,United States. Social Security Administration. Office of Research and Statistics
  • Publisher : Unknown
  • Release Date : 1982
  • Category: Bibliographical literature
  • Pages : 600
  • ISBN Code: N.A

Summary: Over 2500 references about social security. Classified order. Author, subject indexes.

Using the Financial and Business Literature
  • Author : Thomas Slavens
  • Publisher : CRC Press
  • Release Date : 2004-03-11
  • Category: Language Arts & Disciplines
  • Pages : 600
  • ISBN Code: 0824755375

Summary: A source guide for business, marketing, and financial researchers looking for information in the commercial, industrial, manufacturing, communications, automotive, and agricultural sectors. The reference lists print and electronic tools, compact discs, and online databases.

Applied Life Data Analysis
  • Author : Wayne B. Nelson
  • Publisher : John Wiley & Sons
  • Release Date : 2005-02-25
  • Category: Technology & Engineering
  • Pages : 656
  • ISBN Code: 0471725226

Summary: WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selectedbooks that have been made more accessible to consumers in an effortto increase global appeal and general circulation. With these newunabridged softcover volumes, Wiley hopes to extend the lives ofthese works by making them available to future generations ofstatisticians, mathematicians, and scientists. "Many examples drawn from the author’s experience ofengineering applications are used to illustrate the theoreticalresults, which are presented in a cookbook provides anexcellent practical guide to the analysis of product-lifedata." –T.M.M. Farley Special Programme of Research in Human Reproduction World Health Organization Geneva, Switzerland Review in Biometrics, September 1983 Now a classic, Applied Life Data Analysis has been widelyused by thousands of engineers and industrial statisticians toobtain information from life data on consumer, industrial, andmilitary products. Organized to serve practitioners, this bookstarts with basic models and simple informative probability plotsof life data. Then it progresses through advanced analyticalmethods, including maximum likelihood fitting of advanced models tolife data. All data analysis methods are illustrated with numerousclients' applications from the author's consulting experience.

Information Computing and Applications
  • Author : Chunfeng Liu,Jincai Chang,Aimin Yang
  • Publisher : Springer Science & Business Media
  • Release Date : 2011-12-05
  • Category: Computers
  • Pages : 716
  • ISBN Code: 3642275028

Summary: The two-volume set, CCIS 243 and CCIS 244, constitutes the refereed proceedings of the Second International Conference on Information Computing and Applications, ICICA 2010, held in Qinhuangdao, China, in October 2011. The 191 papers presented in both volumes were carefully reviewed and selected from numerous submissions. They are organized in topical sections on computational statistics, social networking and computing, evolutionary computing and applications, information education and application, internet and web computing, scientific and engineering computing, system simulation computing, bio-inspired and DNA computing, internet and Web computing, multimedia networking and computing, parallel and distributed computing.

Advanced Intelligent Computing Theories and Applications
  • Author : De-Shuang Huang,Donald C. Wunsch,Daniel S. Levine,Kang-Hyun Jo
  • Publisher : Springer Science & Business Media
  • Release Date : 2008-09-08
  • Category: Computers
  • Pages : 559
  • ISBN Code: 3540859306

Summary: The International Conference on Intelligent Computing (ICIC) was formed to p- vide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring together researchers and practitioners from both academia and ind- try to share ideas, problems and solutions related to the multifaceted aspects of intelligent computing. ICIC 2008, held in Shanghai, China, September 15–18, 2008, constituted the 4th International Conference on Intelligent Computing. It built upon the success of ICIC 2007, ICIC 2006 and ICIC 2005 held in Qingdao, Kunming and Hefei, China, 2007, 2006 and 2005, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Emerging Intelligent Computing Technology and Applications”. Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.

Scan Statistics
  • Author : Joseph Glaz,Vladimir Pozdnyakov,Sylvan Wallenstein
  • Publisher : Springer Science & Business Media
  • Release Date : 2009-12-24
  • Category: Mathematics
  • Pages : 394
  • ISBN Code: 9780817647490

Summary: Scan statistics is currently one of the most active and important areas of research in applied probability and statistics, having applications to a wide variety of fields: archaeology, astronomy, bioinformatics, biosurveillance, molecular biology, genetics, computer science, electrical engineering, geography, material sciences, physics, reconnaissance, reliability and quality control, telecommunication, and epidemiology. Filling a gap in the literature, this self-contained volume brings together a collection of selected chapters illustrating the depth and diversity of theory, methods and applications in the area of scan statistics.

System Reliability Theory
  • Author : Marvin Rausand,Arnljot Hoyland
  • Publisher : John Wiley & Sons
  • Release Date : 2003-12-05
  • Category: Technology & Engineering
  • Pages : 672
  • ISBN Code: 9780471471332

Summary: A thoroughly updated and revised look at system reliability theory Since the first edition of this popular text was published nearly a decade ago, new standards have changed the focus of reliability engineering and introduced new concepts and terminology not previously addressed in the engineering literature. Consequently, the Second Edition of System Reliability Theory: Models, Statistical Methods, and Applications has been thoroughly rewritten and updated to meet current standards. To maximize its value as a pedagogical tool, the Second Edition features: Additional chapters on reliability of maintained systems and reliability assessment of safety-critical systems Discussion of basic assessment methods for operational availability and production regularity New concepts and terminology not covered in the first edition Revised sequencing of chapters for better pedagogical structure New problems, examples, and cases for a more applied focus An accompanying Web site with solutions, overheads, and supplementary information With its updated practical focus, incorporation of industry feedback, and many new examples based on real industry problems and data, the Second Edition of this important text should prove to be more useful than ever for students, instructors, and researchers alike.

Mathematical Theory of Statistics
  • Author : Helmut Strasser
  • Publisher : Walter de Gruyter
  • Release Date : 1985-01-01
  • Category: Mathematics
  • Pages : 504
  • ISBN Code: 3110850826

Summary: The series is devoted to the publication of monographs and high-level textbooks in mathematics, mathematical methods and their applications. Apart from covering important areas of current interest, a major aim is to make topics of an interdisciplinary nature accessible to the non-specialist. The works in this series are addressed to advanced students and researchers in mathematics and theoretical physics. In addition, it can serve as a guide for lectures and seminars on a graduate level. The series de Gruyter Studies in Mathematics was founded ca. 30 years ago by the late Professor Heinz Bauer and Professor Peter Gabriel with the aim to establish a series of monographs and textbooks of high standard, written by scholars with an international reputation presenting current fields of research in pure and applied mathematics. While the editorial board of the Studies has changed with the years, the aspirations of the Studies are unchanged. In times of rapid growth of mathematical knowledge carefully written monographs and textbooks written by experts are needed more than ever, not least to pave the way for the next generation of mathematicians. In this sense the editorial board and the publisher of the Studies are devoted to continue the Studies as a service to the mathematical community. Please submit any book proposals to Niels Jacob.

SOFSEM '98: Theory and Practice of Informatics
  • Author : Conference on Current Trends in Theory and Practice of Informatics (
  • Publisher : Springer Science & Business Media
  • Release Date : 1998-10-28
  • Category: Computers
  • Pages : 452
  • ISBN Code: 3540652604

Summary: This book constitutes the proceedings of the 25th Seminar on Current Trends in Theory and Practice of Informatics, SOFSEM'98, held in Jasna, Slovakia, in November 1998. The volume presents 19 invited survey articles by internationally well-known authorities together with 18 revised full research papers carefully reviewed and selected for inclusion in the book. The areas covered include history of models of computation, algorithms, formal methods, practical aspects of software engineering, database systems, parallel and distributed systems, electronic commerce, and electronic documents and digital libraries.

Algorithmic Learning Theory
  • Author : Peter Auer,Alexander Clark,Thomas Zeugmann,Sandra Zilles
  • Publisher : Springer
  • Release Date : 2014-10-01
  • Category: Computers
  • Pages : 351
  • ISBN Code: 3319116622

Summary: This book constitutes the proceedings of the 25th International Conference on Algorithmic Learning Theory, ALT 2014, held in Bled, Slovenia, in October 2014, and co-located with the 17th International Conference on Discovery Science, DS 2014. The 21 papers presented in this volume were carefully reviewed and selected from 50 submissions. In addition the book contains 4 full papers summarizing the invited talks. The papers are organized in topical sections named: inductive inference; exact learning from queries; reinforcement learning; online learning and learning with bandit information; statistical learning theory; privacy, clustering, MDL, and Kolmogorov complexity.

Air Pollution and Turbulence
  • Author : Davidson Moreira,Marco Vilhena
  • Publisher : CRC Press
  • Release Date : 2009-11-24
  • Category: Nature
  • Pages : 354
  • ISBN Code: 1439858942

Summary: Since its discovery in early 1900, turbulence has been an interesting and complex area of study. Written by international experts, Air Pollution and Turbulence: Modeling and Applications presents advanced techniques for modeling turbulence, with a special focus on air pollution applications, including pollutant dispersion and inverse problems. The

Statistical Methods in Molecular Evolution
  • Author : Rasmus Nielsen
  • Publisher : Springer Science & Business Media
  • Release Date : 2005-04-21
  • Category: Science
  • Pages : 505
  • ISBN Code: 9780387223339

Summary: In the field of molecular evolution, inferences about past evolutionary events are made using molecular data from currently living species. With the availability of genomic data from multiple related species, molecular evolution has become one of the most active and fastest growing fields of study in genomics and bioinformatics. Most studies in molecular evolution rely heavily on statistical procedures based on stochastic process modelling and advanced computational methods including high-dimensional numerical optimization and Markov Chain Monte Carlo. This book provides an overview of the statistical theory and methods used in studies of molecular evolution. It includes an introductory section suitable for readers that are new to the field, a section discussing practical methods for data analysis, and more specialized sections discussing specific models and addressing statistical issues relating to estimation and model choice. The chapters are written by the leaders of field and they will take the reader from basic introductory material to the state-of-the-art statistical methods. This book is suitable for statisticians seeking to learn more about applications in molecular evolution and molecular evolutionary biologists with an interest in learning more about the theory behind the statistical methods applied in the field. The chapters of the book assume no advanced mathematical skills beyond basic calculus, although familiarity with basic probability theory will help the reader. Most relevant statistical concepts are introduced in the book in the context of their application in molecular evolution, and the book should be accessible for most biology graduate students with an interest in quantitative methods and theory. Rasmus Nielsen received his Ph.D. form the University of California at Berkeley in 1998 and after a postdoc at Harvard University, he assumed a faculty position in Statistical Genomics at Cornell University. He is currently an Ole Rømer Fellow at the University of Copenhagen and holds a Sloan Research Fellowship. His is an associate editor of the Journal of Molecular Evolution and has published more than fifty original papers in peer-reviewed journals on the topic of this book. From the reviews: "...Overall this is a very useful book in an area of increasing importance." Journal of the Royal Statistical Society "I find Statistical Methods in Molecular Evolution very interesting and useful. It delves into problems that were considered very difficult just several years ago...the book is likely to stimulate the interest of statisticians that are unaware of this exciting field of applications. It is my hope that it will also help the 'wet lab' molecular evolutionist to better understand mathematical and statistical methods." Marek Kimmel for the Journal of the American Statistical Association, September 2006 "Who should read this book? We suggest that anyone who deals with molecular data (who does not?) and anyone who asks evolutionary questions (who should not?) ought to consult the relevant chapters in this book." Dan Graur and Dror Berel for Biometrics, September 2006 "Coalescence theory facilitates the merger of population genetics theory with phylogenetic approaches, but still, there are mostly two camps: phylogeneticists and population geneticists. Only a few people are moving freely between them. Rasmus Nielsen is certainly one of these researchers, and his work so far has merged many population genetic and phylogenetic aspects of biological research under the umbrella of molecular evolution. Although Nielsen did not contribute a chapter to his book, his work permeates all its chapters. This book gives an overview of his interests and current achievements in molecular evolution. In short, this book should be on your bookshelf." Peter Beerli for Evolution, 60(2), 2006

New Advances in Statistics and Data Science
  • Author : Ding-Geng Chen,Zhezhen Jin,Gang Li,Yi Li,Aiyi Liu,Yichuan Zhao
  • Publisher : Springer
  • Release Date : 2018-01-17
  • Category: Mathematics
  • Pages : 348
  • ISBN Code: 3319694162

Summary: This book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Regency Atlanta, on June 12-15, 2016. This symposium attracted more than 700 statisticians and data scientists working in academia, government, and industry from all over the world. The theme of this conference was the “Challenge of Big Data and Applications of Statistics,” in recognition of the advent of big data era, and the symposium offered opportunities for learning, receiving inspirations from old research ideas and for developing new ones, and for promoting further research collaborations in the data sciences. The invited contributions addressed rich topics closely related to big data analysis in the data sciences, reflecting recent advances and major challenges in statistics, business statistics, and biostatistics. Subsequently, the six editors selected 19 high-quality presentations and invited the speakers to prepare full chapters for this book, which showcases new methods in statistics and data sciences, emerging theories, and case applications from statistics, data science and interdisciplinary fields. The topics covered in the book are timely and have great impact on data sciences, identifying important directions for future research, promoting advanced statistical methods in big data science, and facilitating future collaborations across disciplines and between theory and practice.

Foundations and Applications of Statistics
  • Author : Randall Pruim
  • Publisher : American Mathematical Soc.
  • Release Date : 2018-04-04
  • Category: Mathematical statistics
  • Pages : 820
  • ISBN Code: 1470428482

Summary: Foundations and Applications of Statistics simultaneously emphasizes both the foundational and the computational aspects of modern statistics. Engaging and accessible, this book is useful to undergraduate students with a wide range of backgrounds and career goals. The exposition immediately begins with statistics, presenting concepts and results from probability along the way. Hypothesis testing is introduced very early, and the motivation for several probability distributions comes from p-value computations. Pruim develops the students' practical statistical reasoning through explicit examples and through numerical and graphical summaries of data that allow intuitive inferences before introducing the formal machinery. The topics have been selected to reflect the current practice in statistics, where computation is an indispensible tool. In this vein, the statistical computing environment R is used throughout the text and is integral to the exposition. Attention is paid to developing students' mathematical and computational skills as well as their statistical reasoning. Linear models, such as regression and ANOVA, are treated with explicit reference to the underlying linear algebra, which is motivated geometrically. Foundations and Applications of Statistics discusses both the mathematical theory underlying statistics and practical applications that make it a powerful tool across disciplines. The book contains ample material for a two-semester course in undergraduate probability and statistics. A one-semester course based on the book will cover hypothesis testing and confidence intervals for the most common situations. In the second edition, the R code has been updated throughout to take advantage of new R packages and to illustrate better coding style. New sections have been added covering bootstrap methods, multinomial and multivariate normal distributions, the delta method, numerical methods for Bayesian inference, and nonlinear least squares. Also, the use of matrix algebra has been expanded, but remains optional, providing instructors with more options regarding the amount of linear algebra required.

Evidence-Based Applied Sport Psychology
  • Author : Roland A. Carlstedt, PhD
  • Publisher : Springer Publishing Company
  • Release Date : 2012-11-13
  • Category: Psychology
  • Pages : 520
  • ISBN Code: 082610553X

Summary: This is the first book to call for a major paradigm shift in applied sport psychology by providing a wealth of systematic, scientifically validated research in a field where assessment and treatment has often been haphazard. In his quest to bring sport psychology to a higher level of validity, Dr. Carlstedt describes the most current assessment methods, intervention procedures, and promising research that are critical for use in evidence-based practice. These assessment and treatment methods are based on 25 years of rigorous scientific approaches and principles that incorporate the most sophisticated research methods now available. The book describes the mechanisms that influence peak performance or psychological performance deficits and the mental training process, and provides procedures that will take the guesswork out of typical assessment and mental training. It offers tools with which practitioners can reexamine their modus operandi and critically explore the mechanism of interaction outcomes. To this end, the book includes extensive data sets on personality, behavioral tendencies, mind-body responses, and performance outcome. Dr. Carlstedt advocates moving beyond compartmentalized therapeutic sessions in the office to directly observe athletic performance during training and actual competition. The text also contains individual and team case studies to enhance its focus on individualized, efficacy-tested protocols for each individual athlete. Key Features: Presents a detailed client-centered assessment and intervention model grounded in technology-supported, step-by-step procedures, followed by efficacy testing Focuses on the importance of empirical scrutiny and individualized, efficacy-tested protocols for each individual athlete Describes the Carlstedt Protocol containing a visualization efficiency test among many other technologically based assessment and training tools Provides a roadmap for achieving a gold-standard system of accountability Practitioners will learn how to work within Carlstedt's integrative model to improve athlete performance and contribute to the advancement of evidence-based applied sport psychology.

Mathematical Methods of Statistics
  • Author : Harald Cramér
  • Publisher : Princeton University Press
  • Release Date : 1999-04-12
  • Category: Mathematics
  • Pages : 575
  • ISBN Code: 9780691005478

Summary: In this classic of statistical mathematical theory, Harald Cramér joins the two major lines of development in the field: while British and American statisticians were developing the science of statistical inference, French and Russian probabilitists transformed the classical calculus of probability into a rigorous and pure mathematical theory. The result of Cramér's work is a masterly exposition of the mathematical methods of modern statistics that set the standard that others have since sought to follow. For anyone with a working knowledge of undergraduate mathematics the book is self contained. The first part is an introduction to the fundamental concept of a distribution and of integration with respect to a distribution. The second part contains the general theory of random variables and probability distributions while the third is devoted to the theory of sampling, statistical estimation, and tests of significance.

  • Author : Gerald van Belle,Lloyd D. Fisher,Patrick J. Heagerty,Thomas Lumley
  • Publisher : John Wiley & Sons
  • Release Date : 2004-10-20
  • Category: Medical
  • Pages : 896
  • ISBN Code: 0471602353

Summary: A respected introduction to biostatistics, thoroughly updated andrevised The first edition of Biostatistics: A Methodology for the HealthSciences has served professionals and students alike as a leadingresource for learning how to apply statistical methods to thebiomedical sciences. This substantially revised Second Editionbrings the book into the twenty-first century for today’saspiring and practicing medical scientist. This versatile reference provides a wide-ranging look at basicand advanced biostatistical concepts and methods in a formatcalibrated to individual interests and levels of proficiency.Written with an eye toward the use of computer applications, thebook examines the design of medical studies, descriptivestatistics, and introductory ideas of probability theory andstatistical inference; explores more advanced statistical methods;and illustrates important current uses of biostatistics. New to this edition are discussions of Longitudinal data analysis Randomized clinical trials Bayesian statistics GEE The bootstrap method Enhanced by a companion Web site providing data sets, selectedproblems and solutions, and examples from such current topics asHIV/AIDS, this is a thoroughly current, comprehensive introductionto the field.

Combining Soft Computing and Statistical Methods in Data Analysis
  • Author : Christian Borgelt,Gil González Rodríguez,Wolfgang Trutschnig,María Asunción Lubiano,María Angeles Gil,Przemyslaw Grzegorzewski,Olgierd Hryniewicz
  • Publisher : Springer Science & Business Media
  • Release Date : 2010-10-12
  • Category: Computers
  • Pages : 644
  • ISBN Code: 9783642147463

Summary: Over the last forty years there has been a growing interest to extend probability theory and statistics and to allow for more flexible modelling of imprecision, uncertainty, vagueness and ignorance. The fact that in many real-life situations data uncertainty is not only present in the form of randomness (stochastic uncertainty) but also in the form of imprecision/fuzziness is but one point underlining the need for a widening of statistical tools. Most such extensions originate in a "softening" of classical methods, allowing, in particular, to work with imprecise or vague data, considering imprecise or generalized probabilities and fuzzy events, etc. About ten years ago the idea of establishing a recurrent forum for discussing new trends in the before-mentioned context was born and resulted in the first International Conference on Soft Methods in Probability and Statistics (SMPS) that was held in Warsaw in 2002. In the following years the conference took place in Oviedo (2004), in Bristol (2006) and in Toulouse (2008). In the current edition the conference returns to Oviedo. This edited volume is a collection of papers presented at the SMPS 2010 conference held in Mieres and Oviedo. It gives a comprehensive overview of current research into the fusion of soft methods with probability and statistics.

Emerging Technologies for Semantic Work Environments: Techniques, Methods, and Applications
  • Author : Rech, J”rg,Decker, Bj”rn,Ras, Eric
  • Publisher : IGI Global
  • Release Date : 2008-06-30
  • Category: Computers
  • Pages : 372
  • ISBN Code: 1599048787

Summary: Today's work is characterized by a high degree of innovation and thus demands a thorough overview of relevant knowledge in the world and in organizations. Semantic Work Environments support the work of the user by collecting knowledge about needs and providing processed and improved knowledge to be integrated into work. Emerging Technologies for Semantic Work Environments: Techniques, Methods, and Applications describes an overview of the emerging field of Semantic Work Environments by combining various research studies and underlining the similarities between different processes, issues and approaches in order to provide the reader with techniques, methods, and applications of the study.

Statistics of Extremes
  • Author : Jan Beirlant,Yuri Goegebeur,Johan Segers,Jozef L. Teugels
  • Publisher : John Wiley & Sons
  • Release Date : 2004-10-15
  • Category: Mathematics
  • Pages : 514
  • ISBN Code: 9780471976479

Summary: Research in the statistical analysis of extreme values has flourished over the past decade: new probability models, inference and data analysis techniques have been introduced; and new application areas have been explored. Statistics of Extremes comprehensively covers a wide range of models and application areas, including risk and insurance: a major area of interest and relevance to extreme value theory. Case studies are introduced providing a good balance of theory and application of each model discussed, incorporating many illustrated examples and plots of data. The last part of the book covers some interesting advanced topics, including time series, regression, multivariate and Bayesian modelling of extremes, the use of which has huge potential.

Modeling Uncertainty
  • Author : Moshe Dror,Pierre L'Ecuyer,Ferenc Szidarovszky
  • Publisher : Springer Science & Business Media
  • Release Date : 2002-01-31
  • Category: Business & Economics
  • Pages : 770
  • ISBN Code: 9780792374633

Summary: Writing in honour of Sid Yakowitz, 50 internationally known scholars have collectively contributed 30 papers on modelling uncertainty to this volume. These include papers with a theoretical emphasis and others that focus on applications.

Modern Sampling Theory
  • Author : John J. Benedetto,Paulo J.S.G. Ferreira
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Category: Mathematics
  • Pages : 419
  • ISBN Code: 1461201438

Summary: A state-of-the-art edited survey covering all aspects of sampling theory. Theory, methods and applications are discussed in authoritative expositions ranging from multi-dimensional signal analysis to wavelet transforms. The book is an essential up-to-date resource.

Data Mining and Knowledge Discovery Handbook
  • Author : Oded Maimon,Lior Rokach
  • Publisher : Springer Science & Business Media
  • Release Date : 2006-05-28
  • Category: Computers
  • Pages : 1383
  • ISBN Code: 038725465X

Summary: Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.

Risk Assessment
  • Author : Marvin Rausand,Stein Haugen
  • Publisher : John Wiley & Sons
  • Release Date : 2020-03-31
  • Category: Mathematics
  • Pages : 784
  • ISBN Code: 1119377234

Summary: Introduces risk assessment with key theories, proven methods, and state-of-the-art applications Risk Assessment: Theory, Methods, and Applications remains one of the few textbooks to address current risk analysis and risk assessment with an emphasis on the possibility of sudden, major accidents across various areas of practice—from machinery and manufacturing processes to nuclear power plants and transportation systems. Updated to align with ISO 31000 and other amended standards, this all-new 2nd Edition discusses the main ideas and techniques for assessing risk today. The book begins with an introduction of risk analysis, assessment, and management, and includes a new section on the history of risk analysis. It covers hazards and threats, how to measure and evaluate risk, and risk management. It also adds new sections on risk governance and risk-informed decision making; combining accident theories and criteria for evaluating data sources; and subjective probabilities. The risk assessment process is covered, as are how to establish context; planning and preparing; and identification, analysis, and evaluation of risk. Risk Assessment also offers new coverage of safe job analysis and semi-quantitative methods, and it discusses barrier management and HRA methods for offshore application. Finally, it looks at dynamic risk analysis, security and life-cycle use of risk. Serves as a practical and modern guide to the current applications of risk analysis and assessment, supports key standards, and supplements legislation related to risk analysis Updated and revised to align with ISO 31000 Risk Management and other new standards and includes new chapters on security, dynamic risk analysis, as well as life-cycle use of risk analysis Provides in-depth coverage on hazard identification, methodologically outlining the steps for use of checklists, conducting preliminary hazard analysis, and job safety analysis Presents new coverage on the history of risk analysis, criteria for evaluating data sources, risk-informed decision making, subjective probabilities, semi-quantitative methods, and barrier management Contains more applications and examples, new and revised problems throughout, and detailed appendices that outline key terms and acronyms Supplemented with a book companion website containing Solutions to problems, presentation material and an Instructor Manual Risk Assessment: Theory, Methods, and Applications, Second Edition is ideal for courses on risk analysis/risk assessment and systems engineering at the upper-undergraduate and graduate levels. It is also an excellent reference and resource for engineers, researchers, consultants, and practitioners who carry out risk assessment techniques in their everyday work.

Moments in Mathematics
  • Author : Henry J. Landau
  • Publisher : American Mathematical Soc.
  • Release Date : 1987
  • Category: Mathematics
  • Pages : 154
  • ISBN Code: 9780821801147

Summary: Function theory, spectral decomposition of operators, probability, approximation, electrical and mechanical inverse problems, prediction of stochastic processes, the design of algorithms for signal-processing VLSI chips--these are among a host of important theoretical and applied topics illuminated by the classical moment problem. To survey some of these ramifications and the research which derives from them, the AMS sponsored the Short Course Moments in Mathematics at the Joint Mathematics Meetings, held in San Antonio, Texas, in January 1987. This volume contains the six lectures presented during that course. The papers are likely to find a wide audience, for they are expository, but nevertheless lead the reader to topics of current research. In his paper, Henry J. Landau sketches the main ideas of past work related to the moment problem by such mathematicians as Caratheodory, Herglotz, Schur, Riesz, and Krein and describes the way the moment problem has interconnected so many diverse areas of research. J. H. B. Kemperman examines the moment problem from a geometric viewpoint which involves a certain natural duality method and leads to interesting applications in linear programming, measure theory, and dilations. Donald Sarason first provides a brief review of the theory of unbounded self-adjoint operators then goes on to sketch the operator-theoretic treatment of the Hamburger problem and to discuss Hankel operators, the Adamjan-Arov-Krein approach, and the theory of unitary dilations. Exploring the interplay of trigonometric moment problems and signal processing, Thomas Kailath describes the role of Szego polynomials in linear predictive coding methods, parallel implementation, one-dimensional inverse scattering problems, and the Toeplitz moment matrices. Christian Berg contrasts the multi-dimensional moment problem with the one-dimensional theory and shows how the theory of the moment problem may be viewed as part of harmonic analysis on semigroups. Starting from a historical survey of the use of moments in probability and statistics, Persi Diaconis illustrates the continuing vitality of these methods in a variety of recent novel problems drawn from such areas as Wiener-Ito integrals, random graphs and matrices, Gibbs ensembles, cumulants and self-similar processes, projections of high-dimensional data, and empirical estimation.

Statistical Modeling and Computation
  • Author : Dirk P. Kroese,Joshua C.C. Chan
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-11-18
  • Category: Computers
  • Pages : 400
  • ISBN Code: 1461487757

Summary: This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. Statistical Modeling and Computation provides a unique introduction to modern Statistics from both classical and Bayesian perspectives. It also offers an integrated treatment of Mathematical Statistics and modern statistical computation, emphasizing statistical modeling, computational techniques, and applications. Each of the three parts will cover topics essential to university courses. Part I covers the fundamentals of probability theory. In Part II, the authors introduce a wide variety of classical models that include, among others, linear regression and ANOVA models. In Part III, the authors address the statistical analysis and computation of various advanced models, such as generalized linear, state-space and Gaussian models. Particular attention is paid to fast Monte Carlo techniques for Bayesian inference on these models. Throughout the book the authors include a large number of illustrative examples and solved problems. The book also features a section with solutions, an appendix that serves as a MATLAB primer, and a mathematical supplement.​

Exotic Option Pricing and Advanced Lévy Models
  • Author : Andreas Kyprianou,Wim Schoutens,Paul Wilmott
  • Publisher : John Wiley & Sons
  • Release Date : 2006-06-14
  • Category: Business & Economics
  • Pages : 344
  • ISBN Code: 0470017201

Summary: Since around the turn of the millennium there has been a general acceptance that one of the more practical improvements one may make in the light of the shortfalls of the classical Black-Scholes model is to replace the underlying source of randomness, a Brownian motion, by a Lévy process. Working with Lévy processes allows one to capture desirable distributional characteristics in the stock returns. In addition, recent work on Lévy processes has led to the understanding of many probabilistic and analytical properties, which make the processes attractive as mathematical tools. At the same time, exotic derivatives are gaining increasing importance as financial instruments and are traded nowadays in large quantities in OTC markets. The current volume is a compendium of chapters, each of which consists of discursive review and recent research on the topic of exotic option pricing and advanced Lévy markets, written by leading scientists in this field. In recent years, Lévy processes have leapt to the fore as a tractable mechanism for modeling asset returns. Exotic option values are especially sensitive to an accurate portrayal of these dynamics. This comprehensive volume provides a valuable service for financial researchers everywhere by assembling key contributions from the world's leading researchers in the field. Peter Carr, Head of Quantitative Finance, Bloomberg LP. This book provides a front-row seat to the hottest new field in modern finance: options pricing in turbulent markets. The old models have failed, as many a professional investor can sadly attest. So many of the brightest minds in mathematical finance across the globe are now in search of new, more accurate models. Here, in one volume, is a comprehensive selection of this cutting-edge research. Richard L. Hudson, former Managing Editor of The Wall Street Journal Europe, and co-author with Benoit B. Mandelbrot of The (Mis)Behaviour of Markets: A Fractal View of Risk, Ruin and Reward

Computational Methods for Large Systems
  • Author : Jeffrey R. Reimers
  • Publisher : John Wiley & Sons
  • Release Date : 2011-08-24
  • Category: Science
  • Pages : 688
  • ISBN Code: 0470934727

Summary: While its results normally complement the information obtained by chemical experiments, computer computations can in some cases predict unobserved chemical phenomena Electronic-Structure Computational Methods for Large Systems gives readers a simple description of modern electronic-structure techniques. It shows what techniques are pertinent for particular problems in biotechnology and nanotechnology and provides a balanced treatment of topics that teach strengths and weaknesses, appropriate and inappropriate methods. It’s a book that will enhance the your calculating confidence and improve your ability to predict new effects and solve new problems.