Leading Personalities In Statistical Sciences

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Leading Personalities in Statistical Sciences

Norman L. Johnson,Samuel Kotz
Leading Personalities in Statistical Sciences Book PDF

Author : Norman L. Johnson,Samuel Kotz
Publisher : John Wiley & Sons
Page : 432 pages
File Size : 43,9 Mb
Release : 2011-09-26
Category : Mathematics
ISBN : 9781118150726

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Leading Personalities in Statistical Sciences by Norman L. Johnson,Samuel Kotz Pdf

A fascinating chronicle of the lives and achievements of the menand women who helped shapethe science of statistics This handsomely illustrated volume will make enthralling readingfor scientists, mathematicians, and science history buffs alike.Spanning nearly four centuries, it chronicles the lives andachievements of more than 110 of the most prominent names intheoretical and applied statistics and probability. From Bernoullito Markov, Poisson to Wiener, you will find intimate profiles ofwomen and men whose work led to significant advances in the areasof statistical inference and theory, probability theory, governmentand economic statistics, medical and agricultural statistics, andscience and engineering. To help readers arrive at a fullerappreciation of the contributions these pioneers made, the authorsvividly re-create the times in which they lived while exploring themajor intellectual currents that shaped their thinking andpropelled their discoveries. Lavishly illustrated with more than 40 authentic photographs andwoodcuts * Includes a comprehensive timetable of statistics from theseventeenth century to the present * Features edited chapters written by 75 experts from around theglobe * Designed for easy reference, features a unique numbering schemethat matches the subject profiled with his or her particular fieldof interest

Encyclopedia of Statistical Sciences, Volume 12

Anonim
Encyclopedia of Statistical Sciences Volume 12 Book PDF

Author : Anonim
Publisher : John Wiley & Sons
Page : 562 pages
File Size : 43,9 Mb
Release : 2005-12-16
Category : Mathematics
ISBN : 9780471744061

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Encyclopedia of Statistical Sciences, Volume 12 by Anonim Pdf

ENCYCLOPEDIA OF STATISTICAL SCIENCES

Encyclopedia of Statistical Sciences, Volume 3

Anonim
Encyclopedia of Statistical Sciences Volume 3 Book PDF

Author : Anonim
Publisher : John Wiley & Sons
Page : 706 pages
File Size : 44,9 Mb
Release : 2005-12-16
Category : Mathematics
ISBN : 9780471743842

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Encyclopedia of Statistical Sciences, Volume 3 by Anonim Pdf

ENCYCLOPEDIA OF STATISTICAL SCIENCES

Encyclopedia of Statistical Sciences, Volume 1

Anonim
Encyclopedia of Statistical Sciences Volume 1 Book PDF

Author : Anonim
Publisher : John Wiley & Sons
Page : 722 pages
File Size : 54,8 Mb
Release : 2005-12-16
Category : Mathematics
ISBN : 9780471743910

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Encyclopedia of Statistical Sciences, Volume 1 by Anonim Pdf

ENCYCLOPEDIA OF STATISTICAL SCIENCES

Encyclopedia of Statistical Sciences, Volume 15

Anonim
Encyclopedia of Statistical Sciences Volume 15 Book PDF

Author : Anonim
Publisher : John Wiley & Sons
Page : 242 pages
File Size : 53,9 Mb
Release : 2005-12-16
Category : Mathematics
ISBN : 9780471744030

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Encyclopedia of Statistical Sciences, Volume 15 by Anonim Pdf

ENCYCLOPEDIA OF STATISTICAL SCIENCES

Introductory Statistics

William B. Ware,John M. Ferron,Barbara M. Miller
Introductory Statistics Book PDF

Author : William B. Ware,John M. Ferron,Barbara M. Miller
Publisher : Taylor & Francis
Page : 520 pages
File Size : 52,6 Mb
Release : 2013-02-15
Category : Education
ISBN : 9781136870118

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Introductory Statistics by William B. Ware,John M. Ferron,Barbara M. Miller Pdf

This comprehensive and uniquely organized text is aimed at undergraduate and graduate level statistics courses in education, psychology, and other social sciences. A conceptual approach, built around common issues and problems rather than statistical techniques, allows students to understand the conceptual nature of statistical procedures and to focus more on cases and examples of analysis. Wherever possible, presentations contain explanations of the underlying reasons behind a technique. Importantly, this is one of the first statistics texts in the social sciences using R as the principal statistical package. Key features include the following. Conceptual Focus – The focus throughout is more on conceptual understanding and attainment of statistical literacy and thinking than on learning a set of tools and procedures. Problems and Cases – Chapters and sections open with examples of situations related to the forthcoming issues, and major sections ends with a case study. For example, after the section on describing relationships between variables, there is a worked case that demonstrates the analyses, presents computer output, and leads the student through an interpretation of that output. Continuity of Examples – A master data set containing nearly all of the data used in the book’s examples is introduced at the beginning of the text. This ensures continuity in the examples used across the text. Companion Website – A companion website contains instructions on how to use R, SAS, and SPSS to solve the end-of-chapter exercises and offers additional exercises. Field Tested – The manuscript has been field tested for three years at two leading institutions.

Breakthroughs in Statistics

Samuel Kotz,Norman Lloyd Johnson
Breakthroughs in Statistics Book PDF

Author : Samuel Kotz,Norman Lloyd Johnson
Publisher : Springer My Copy UK
Page : 680 pages
File Size : 55,5 Mb
Release : 1992
Category : Mathematical statistics
ISBN : 146120920X

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Breakthroughs in Statistics by Samuel Kotz,Norman Lloyd Johnson Pdf

Volume III includes more selections of articles that have initiated fundamental changes in statistical methodology. It contains articles published before 1980 that were overlooked in the previous two volumes plus articles from the 1980's - all of them chosen after consulting many of today's leading statisticians.

Continuous Multivariate Distributions, Volume 1

Samuel Kotz,N. Balakrishnan,Norman L. Johnson
Continuous Multivariate Distributions Volume 1 Book PDF

Author : Samuel Kotz,N. Balakrishnan,Norman L. Johnson
Publisher : John Wiley & Sons
Page : 752 pages
File Size : 40,9 Mb
Release : 2004-04-05
Category : Mathematics
ISBN : 9780471654032

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Continuous Multivariate Distributions, Volume 1 by Samuel Kotz,N. Balakrishnan,Norman L. Johnson Pdf

Continuous Multivariate Distributions, Volume 1, Second Edition provides a remarkably comprehensive, self-contained resource for this critical statistical area. It covers all significant advances that have occurred in the field over the past quarter century in the theory, methodology, inferential procedures, computational and simulational aspects, and applications of continuous multivariate distributions. In-depth coverage includes MV systems of distributions, MV normal, MV exponential, MV extreme value, MV beta, MV gamma, MV logistic, MV Liouville, and MV Pareto distributions, as well as MV natural exponential families, which have grown immensely since the 1970s. Each distribution is presented in its own chapter along with descriptions of real-world applications gleaned from the current literature on continuous multivariate distributions and their applications.

The Subjectivity of Scientists and the Bayesian Approach

S. James Press,Judith M. Tanur
The Subjectivity of Scientists and the Bayesian Approach Book PDF

Author : S. James Press,Judith M. Tanur
Publisher : John Wiley & Sons
Page : 296 pages
File Size : 54,8 Mb
Release : 2012-01-20
Category : Mathematics
ISBN : 9781118150627

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The Subjectivity of Scientists and the Bayesian Approach by S. James Press,Judith M. Tanur Pdf

Comparing and contrasting the reality of subjectivity in the workof history's great scientists and the modern Bayesian approach tostatistical analysis Scientists and researchers are taught to analyze their data from anobjective point of view, allowing the data to speak for themselvesrather than assigning them meaning based on expectations oropinions. But scientists have never behaved fully objectively.Throughout history, some of our greatest scientific minds haverelied on intuition, hunches, and personal beliefs to make sense ofempirical data-and these subjective influences have often aided inhumanity's greatest scientific achievements. The authors argue thatsubjectivity has not only played a significant role in theadvancement of science, but that science will advance more rapidlyif the modern methods of Bayesian statistical analysis replace someof the classical twentieth-century methods that have traditionallybeen taught. To accomplish this goal, the authors examine the lives and work ofhistory's great scientists and show that even the most successfulhave sometimes misrepresented findings or been influenced by theirown preconceived notions of religion, metaphysics, and the occult,or the personal beliefs of their mentors. Contrary to popularbelief, our greatest scientific thinkers approached their data witha combination of subjectivity and empiricism, and thus informallyachieved what is more formally accomplished by the modern Bayesianapproach to data analysis. Yet we are still taught that science is purely objective. Thisinnovative book dispels that myth using historical accounts andbiographical sketches of more than a dozen great scientists,including Aristotle, Galileo Galilei, Johannes Kepler, WilliamHarvey, Sir Isaac Newton, Antoine Levoisier, Alexander vonHumboldt, Michael Faraday, Charles Darwin, Louis Pasteur, GregorMendel, Sigmund Freud, Marie Curie, Robert Millikan, AlbertEinstein, Sir Cyril Burt, and Margaret Mead. Also included is adetailed treatment of the modern Bayesian approach to dataanalysis. Up-to-date references to the Bayesian theoretical andapplied literature, as well as reference lists of the primarysources of the principal works of all the scientists discussed,round out this comprehensive treatment of the subject. Readers will benefit from this cogent and enlightening view of thehistory of subjectivity in science and the authors' alternativevision of how the Bayesian approach should be used to further thecause of science and learning well into the twenty-first century.

Statistical Tests for Mixed Linear Models

André I. Khuri,Thomas Mathew,Bimal K. Sinha
Statistical Tests for Mixed Linear Models Book PDF

Author : André I. Khuri,Thomas Mathew,Bimal K. Sinha
Publisher : John Wiley & Sons
Page : 384 pages
File Size : 44,6 Mb
Release : 2011-09-09
Category : Mathematics
ISBN : 9781118164853

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Statistical Tests for Mixed Linear Models by André I. Khuri,Thomas Mathew,Bimal K. Sinha Pdf

An advanced discussion of linear models with mixed or randomeffects. In recent years a breakthrough has occurred in our ability todraw inferences from exact and optimum tests of variance componentmodels, generating much research activity that relies on linearmodels with mixed and random effects. This volume covers the mostimportant research of the past decade as well as the latestdevelopments in hypothesis testing. It compiles all currentlyavailable results in the area of exact and optimum tests forvariance component models and offers the only comprehensivetreatment for these models at an advanced level. Statistical Tests for Mixed Linear Models: Combines analysis and testing in one self-containedvolume. Describes analysis of variance (ANOVA) procedures in balancedand unbalanced data situations. Examines methods for determining the effect of imbalance ondata analysis. Explains exact and optimum tests and methods for theirderivation. Summarizes test procedures for multivariate mixed and randommodels. Enables novice readers to skip the derivations and discussionson optimum tests. Offers plentiful examples and exercises, manyof which are numerical in flavor. Provides solutions to selected exercises. Statistical Tests for Mixed Linear Models is an accessiblereference for researchers in analysis of variance, experimentaldesign, variance component analysis, and linear mixed models. It isalso an important text for graduate students interested in mixedmodels.

Statistical Methods for Reliability Data

William Q. Meeker,Luis A. Escobar
Statistical Methods for Reliability Data Book PDF

Author : William Q. Meeker,Luis A. Escobar
Publisher : John Wiley & Sons
Page : 783 pages
File Size : 44,7 Mb
Release : 2014-08-21
Category : Mathematics
ISBN : 9781118625972

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Statistical Methods for Reliability Data by William Q. Meeker,Luis A. Escobar Pdf

Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Statistical Methods for Reliability Data was among those chosen. Bringing statistical methods for reliability testing in line with the computer age This volume presents state-of-the-art, computer-based statistical methods for reliability data analysis and test planning for industrial products. Statistical Methods for Reliability Data updates and improves established techniques as it demonstrates how to apply the new graphical, numerical, or simulation-based methods to a broad range of models encountered in reliability data analysis. It includes methods for planning reliability studies and analyzing degradation data, simulation methods used to complement large-sample asymptotic theory, general likelihood-based methods of handling arbitrarily censored data and truncated data, and more. In this book, engineers and statisticians in industry and academia will find: A wealth of information and procedures developed to give products a competitive edge Simple examples of data analysis computed with the S-PLUS system-for which a suite of functions and commands is available over the Internet End-of-chapter, real-data exercise sets Hundreds of computer graphics illustrating data, results of analyses, and technical concepts An essential resource for practitioners involved in product reliability and design decisions, Statistical Methods for Reliability Data is also an excellent textbook for on-the-job training courses, and for university courses on applied reliability data analysis at the graduate level. An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon requestfrom the Wiley editorial department.

An Introduction to Probability and Statistics

Vijay K. Rohatgi,A. K. Md. Ehsanes Saleh
An Introduction to Probability and Statistics Book PDF

Author : Vijay K. Rohatgi,A. K. Md. Ehsanes Saleh
Publisher : John Wiley & Sons
Page : 747 pages
File Size : 49,6 Mb
Release : 2011-09-15
Category : Mathematics
ISBN : 9781118165683

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An Introduction to Probability and Statistics by Vijay K. Rohatgi,A. K. Md. Ehsanes Saleh Pdf

The second edition of a well-received book that was published 24 years ago and continues to sell to this day, An Introduction to Probability and Statistics is now revised to incorporate new information as well as substantial updates of existing material.

Classical Methods of Statistics

Otto J.W.F. Kardaun
Classical Methods of Statistics Book PDF

Author : Otto J.W.F. Kardaun
Publisher : Springer Science & Business Media
Page : 416 pages
File Size : 53,8 Mb
Release : 2005-09-16
Category : Science
ISBN : 3540211152

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Classical Methods of Statistics by Otto J.W.F. Kardaun Pdf

Classical Methods of Statistics is a guidebook combining theory and practical methods. It is especially conceived for graduate students and scientists who are interested in the applications of statistical methods to plasma physics. Thus it provides also concise information on experimental aspects of fusion-oriented plasma physics. In view of the first three basic chapters it can be fruitfully used by students majoring in probability theory and statistics. The first part deals with the mathematical foundation and framework of the subject. Some attention is given to the historical background. Exercises are added to help readers understand the underlying concepts. In the second part, two major case studies are presented which exemplify the areas of discriminant analysis and multivariate profile analysis, respectively. To introduce these case studies, an outline is provided of the context of magnetic plasma fusion research. In the third part an overview is given of statistical software; separate attention is devoted to SAS and S-PLUS. The final chapter presents several datasets and gives a description of their physical setting. Most of these datasets were assembled at the ASDEX Upgrade Tokamak. All of them are accompanied by exercises in form of guided (minor) case studies. The book concludes with translations of key concepts into several languages.

Comparative Statistical Inference

Vic Barnett
Comparative Statistical Inference Book PDF

Author : Vic Barnett
Publisher : John Wiley & Sons
Page : 418 pages
File Size : 51,6 Mb
Release : 1999-08-03
Category : Mathematics
ISBN : 0471976431

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Comparative Statistical Inference by Vic Barnett Pdf

This fully updated and revised third edition, presents a wide ranging, balanced account of the fundamental issues across the full spectrum of inference and decision-making. Much has happened in this field since the second edition was published: for example, Bayesian inferential procedures have not only gained acceptance but are often the preferred methodology. This book will be welcomed by both the student and practising statistician wishing to study at a fairly elementary level, the basic conceptual and interpretative distinctions between the different approaches, how they interrelate, what assumptions they are based on, and the practical implications of such distinctions. As in earlier editions, the material is set in a historical context to more powerfully illustrate the ideas and concepts. Includes fully updated and revised material from the successful second edition Recent changes in emphasis, principle and methodology are carefully explained and evaluated Discusses all recent major developments Particular attention is given to the nature and importance of basic concepts (probability, utility, likelihood etc) Includes extensive references and bibliography Written by a well-known and respected author, the essence of this successful book remains unchanged providing the reader with a thorough explanation of the many approaches to inference and decision making.

Advances in the Theory and Practice of Statistics

Samuel Kotz
Advances in the Theory and Practice of Statistics Book PDF

Author : Samuel Kotz
Publisher : John Wiley & Sons
Page : 690 pages
File Size : 49,9 Mb
Release : 1997-04-11
Category : Mathematics
ISBN : 0471155748

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Advances in the Theory and Practice of Statistics by Samuel Kotz Pdf

In honor of Samuel Kotz, an international collection of articles on the latest advances in statistics. This tribute to Samuel Kotz features articles by eminent statisticians from around the world, all recognizing the lifetime of accomplishments of one of the premier statisticians of our time. Centered on distributions, models, and their applications, this book highlights some recent developments in both theory and applications of statistics. Editors Norman L. Johnson and N. Balakrishnan, both of whom have collaborated extensively with Samuel Kotz, have gathered contributions from theoreticians and practitioners in 18 countries, giving the volume a global perspective. Each article is classified into one of 10 areas in the theory and practice of statistics. The areas highlighted in this volume are: Statistics in the world. Models. Biostatistics. Testing and estimation. Univariate distributions. Multivariate distributions. Characterizations. Probability. Bayes theory. Descriptive statistics. Many of the articles in the volume highlight Samuel Kotz's pioneering and fundamental contributions to these areas. Commemorative articles by those who knew and worked with Samuel Kotz, as well as the detailed exploration of classical and new directions in statistical research, make this volume an essential addition to any statistics library.