[好书推荐] (原版丛书) Wiley Series in Probability and Statistics 49本(10.19更新) - 第6页

lovemaksim

2009-9-20 14:57:44

支持楼主，辛苦了！

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yjwang05

2009-9-20 18:16:52

thanks for your generous offer :)

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kwan8911

2009-9-20 23:35:56

好书啊。。。。

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iieelgs

2009-9-21 00:53:15

好资源，收藏了！！！

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fushaojun

2009-9-21 10:33:52

谢谢！楼主好人啊！

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andrealeaf

2009-9-21 10:44:54

支持楼主，辛苦了！

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huntaway

2009-9-21 13:44:38

1. Advanced Calculus with Applications in Statistics
Advanced Calculus with Applications in Statistics (Wiley Series in Probability and Statistics)
By André I. Khuri
Publisher: Wiley-Interscience
Number Of Pages: 673
Publication Date: 2002-11-18
Sales Rank: 316939
ISBN / ASIN: 0471391042
EAN: 9780471391043
Binding: Hardcover
Book Description
Successful track record
No competition
Unique blend of mathematics and statistics
Emphasis on applications
The publisher, John Wiley & Sons
Designed to help motivate the learning of advanced calculus by demonstrating its relevance in the field of statistics. Features detailed coverage of optimization techniques and their applications in statistics. Introduces approximation theory. Each chapter contains a significant amount of examples and exercises as well as additional reading lists. --This text refers to an out of print or unavailable edition of this title.

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(01) Advanced Calculus With Applications In Statistics.pdf

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huntaway

2009-9-21 13:53:06

2.A History of Probability and Statistics and Their Applications before 1750
A History of Probability and Statistics and Their Applications before 1750 (Wiley Series in Probability and Statistics)
By Anders Hald
Publisher: Wiley-Interscience
Number Of Pages: 608
Publication Date: 1990-01
ISBN-10 / ASIN: 0471502308
ISBN-13 / EAN: 9780471502302
Binding: Hardcover
Book Description:
Evoking the life and works of the great natural philosophers who contributed to the development of probability theory and statistics, this bestseller—now available in paperback--also describes the contemporaneous development and interaction of probability theory (and games of chance), statistics (particularly in astronomy and demography), and life insurance mathematics. To read and enjoy this intellectual history, you need know but little statistics or mathematics.

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(02) A History of Probability and Statistics and Their Applications before 1750.pdf

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huntaway

2009-9-21 13:58:03

3.Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming (Wiley Series in Probability and Statistics)
By Martin L. Puterman
Publisher: Wiley-Interscience
Number Of Pages: 680
Publication Date: 2005-03-03
ISBN-10 / ASIN: 0471727822
ISBN-13 / EAN: 9780471727828
Binding: Paperback
Book Description:
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.
"This text is unique in bringing together so many results hitherto found only in part in other texts and papers. . . . The text is fairly self-contained, inclusive of some basic mathematical results needed, and provides a rich diet of examples, applications, and exercises. The bibliographical material at the end of each chapter is excellent, not only from a historical perspective, but because it is valuable for researchers in acquiring a good perspective of the MDP research potential." -Zentralblatt fur Mathematik
". . . it is of great value to advanced-level students, researchers, and professional practitioners of this field to have now a complete volume (with more than 600 pages) devoted to this topic. . . . Markov Decision Processes: Discrete Stochastic Dynamic Programming represents an up-to-date, unified, and rigorous treatment of theoretical and computational aspects of discrete-time Markov decision processes." -Journal of the American Statistical Association

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(03) Markov Decision Processes, Discrete Stochastic Dynamic Programming.pdf

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huntaway

2009-9-21 14:01:39

5.Continuous Univariate Distributions, Vol. 1
Continuous Univariate Distributions, Vol. 1 (Wiley Series in Probability and Statistics)
By Norman L. Johnson, Samuel Kotz, N. Balakrishnan
Publisher: Wiley-Interscience
Number Of Pages: 761
Publication Date: 1994-10
ISBN-10 / ASIN: 0471584959
ISBN-13 / EAN: 9780471584957
6.Continuous Univariate Distributions, Vol. 2
Continuous Univariate Distributions, Vol. 2 (Wiley Series in Probability and Statistics)
By Norman L. Johnson, Samuel Kotz, N. Balakrishnan
Publisher: Wiley-Interscience
Number Of Pages: 752
Publication Date: 1995-05-08
ISBN-10 / ASIN: 0471584940
ISBN-13 / EAN: 9780471584940
Binding: Hardcover

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(05) Continuous Univariate Distribution 2ed (vol 1).pdf

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(06) Continuous Univariate Distribution 2ed (vol 2).pdf

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huntaway

2009-9-21 14:04:18

7.The Theory of Measures and Integration
The Theory of Measures and Integration (Wiley Series in Probability and Statistics)
By Eric M. Vestrup
Publisher: Wiley-Interscience
Number Of Pages: 594
Publication Date: 2003-09-18
ISBN-10 / ASIN: 0471249777
ISBN-13 / EAN: 9780471249771
Binding: Hardcover
Book Description:
An accessible, clearly organized survey of the basic topics of measure theory for students and researchers in mathematics, statistics, and physics
In order to fully understand and appreciate advanced probability, analysis, and advanced mathematical statistics, a rudimentary knowledge of measure theory and like subjects must first be obtained. The Theory of Measures and Integration illuminates the fundamental ideas of the subject-fascinating in their own right-for both students and researchers, providing a useful theoretical background as well as a solid foundation for further inquiry.
Eric Vestrup's patient and measured text presents the major results of classical measure and integration theory in a clear and rigorous fashion. Besides offering the mainstream fare, the author also offers detailed discussions of extensions, the structure of Borel and Lebesgue sets, set-theoretic considerations, the Riesz representation theorem, and the Hardy-Littlewood theorem, among other topics, employing a clear presentation style that is both evenly paced and user-friendly. Chapters include:
* Measurable Functions
* The Lp Spaces
* The Radon-Nikodym Theorem
* Products of Two Measure Spaces
* Arbitrary Products of Measure Spaces
Sections conclude with exercises that range in difficulty between easy "finger exercises"and substantial and independent points of interest. These more difficult exercises are accompanied by detailed hints and outlines. They demonstrate optional side paths in the subject as well as alternative ways of presenting the mainstream topics.
In writing his proofs and notation, Vestrup targets the person who wants all of the details shown up front. Ideal for graduate students in mathematics, statistics, and physics, as well as strong undergraduates in these disciplines and practicing researchers, The Theory of Measures and Integration proves both an able primary text for a real analysis sequence with a focus on measure theory and a helpful background text for advanced courses in probability and statistics.

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(07) The Theory of Measures and Integration.pdf

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huntaway

2009-9-21 14:07:06

9.Finite Mixture Models
Finite Mixture Models (Wiley Series in Probability and Statistics)
By Geoffrey McLachlan, David Peel,
Publisher: Wiley-Interscience
Number Of Pages: 456
Publication Date: 2000-10-02
Sales Rank: 648477
ISBN / ASIN: 0471006262
EAN: 9780471006268
Binding: Hardcover
Book Description:
An up-to-date, comprehensive account of major issues in finite mixture modeling
This volume provides an up-to-date account of the theory and applications of modeling via finite mixture distributions. With an emphasis on the applications of mixture models in both mainstream analysis and other areas such as unsupervised pattern recognition, speech recognition, and medical imaging, the book describes the formulations of the finite mixture approach, details its methodology, discusses aspects of its implementation, and illustrates its application in many common statistical contexts.
Major issues discussed in this book include identifiability problems, actual fitting of finite mixtures through use of the EM algorithm, properties of the maximum likelihood estimators so obtained, assessment of the number of components to be used in the mixture, and the applicability of asymptotic theory in providing a basis for the solutions to some of these problems. The author also considers how the EM algorithm can be scaled to handle the fitting of mixture models to very large databases, as in data mining applications. This comprehensive, practical guide:
* Provides more than 800 references-400ublished since 1995
* Includes an appendix listing available mixture software
* Links statistical literature with machine learning and pattern recognition literature
* Contains more than 100 helpful graphs, charts, and tables
Finite Mixture Models is an important resource for both applied and theoretical statisticians as well as for researchers in the many areas in which finite mixture models can be used to analyze data.

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(09) Finite Mixture Models.pdf

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huntaway

2009-9-21 14:08:49

11.Statistics of Extremes: Theory and Applications
Statistics of Extremes: Theory and Applications
Author: Jan Beirlant, Jef Caers, Johan Segers, Yuri Goegebeur
Publisher: Wiley, John & Sons, Incorporated
Series: Probability and Statistics Series
ISBN: 0471976474
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.

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(11) Statistics of Extremes, Theory and Applications.pdf

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huntaway

2009-9-21 14:09:59

12.Modes of Parametric Statistical Inference
Modes of Parametric Statistical Inference (Wiley Series in Probability and Statistics)
By Seymour Geisser, & nbspWesley M. Johnson,
Publisher: Wiley-Interscience
Number Of Pages: 192
Publication Date: 2006-01-17
Sales Rank: 847789
ISBN / ASIN: 0471667269
EAN: 9780471667261
Binding: Hardcover
Book Description:
A fascinating investigation into the foundations of statistical inference
This publication examines the distinct philosophical foundations of different statistical modes of parametric inference. Unlike many other texts that focus on methodology and applications, this book focuses on a rather unique combination of theoretical and foundational aspects that underlie the field of statistical inference. Readers gain a deeper understanding of the evolution and underlying logic of each mode as well as each mode's strengths and weaknesses.
The book begins with fascinating highlights from the history of statistical inference. Readers are given historical examples of statistical reasoning used to address practical problems that arose throughout the centuries. Next, the book goes on to scrutinize four major modes of statistical inference:
The author provides readers with specific examples and counterexamples of situations and datasets where the modes yield both similar and dissimilar results, including a violation of the likelihood principle in which Bayesian and likelihood methods differ from frequentist methods. Each example is followed by a detailed discussion of why the results may have varied from one mode to another, helping the reader to gain a greater understanding of each mode and how it works. Moreover, the author provides considerable mathematical detail on certain points to highlight key aspects of theoretical development.
The author's writing style and use of examples make the text clear and engaging. This book is fundamental reading for graduate-level students in statistics as well as anyone with an interest in the foundations of statistics and the principles underlying statistical inference, including students in mathematics and the philosophy of science. Readers with a background in theoretical statistics will find the text both accessible and absorbing.

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(12) Modes of Parametric Statistical Inference.pdf

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davidluheng

2009-9-21 22:16:14

非常感谢,向你学习.

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chuixue

2009-9-22 05:03:45

Thanks for sharing!

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oops4211

2009-9-23 00:40:16

此贴不回不行！

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minibaby-mori

2009-9-23 09:50:23

Thanks for sharing:)

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huntaway

2009-9-23 11:06:10

13. Univariate Discrete Distributions
Univariate Discrete Distributions (Wiley Series in Probability and Statistics)
By Norman L. Johnson, Adrienne W. Kemp, Samuel Kotz
Publisher: Wiley-Interscience
Number Of Pages: 672
Publication Date: 2005-08-30
ISBN-10 / ASIN: 0471272469
ISBN-13 / EAN: 9780471272465
Binding: Hardcover
Book Description:
Discover the latest advances in discrete distributions theory
The Third Edition of the critically acclaimed Univariate Discrete Distributions provides a self-contained, systematic treatment of the theory, derivation, and application of probability distributions for count data. Generalized zeta-function and q-series distributions have been added and are covered in detail. New families of distributions, including Lagrangian-type distributions, are integrated into this thoroughly revised and updated text. Additional applications of univariate discrete distributions are explored to demonstrate the flexibility of this powerful method.
A thorough survey of recent statistical literature draws attention to many new distributions and results for the classical distributions. Approximately 450 new references along with several new sections are introduced to reflect the current literature and knowledge of discrete distributions.
Beginning with mathematical, probability, and statistical fundamentals, the authors provide clear coverage of the key topics in the field, including:
* Families of discrete distributions
* Binomial distribution
* Poisson distribution
* Negative binomial distribution
* Hypergeometric distributions
* Logarithmic and Lagrangian distributions
* Mixture distributions
* Stopped-sum distributions
* Matching, occupancy, runs, and q-series distributions
* Parametric regression models and miscellanea
Emphasis continues to be placed on the increasing relevance of Bayesian inference to discrete distribution, especially with regard to the binomial and Poisson distributions. New derivations of discrete distributions via stochastic processes and random walks are introduced without unnecessarily complex discussions of stochastic processes. Throughout the Third Edition, extensive information has been added to reflect the new role of computer-based applications.
With its thorough coverage and balanced presentation of theory and application, this is an excellent and essential reference for statisticians and mathematicians.

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(13) Univariate Discrete Distributions 3ed.pdf

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huntaway

2009-9-23 11:07:29

14. Contemporary Bayesian Econometrics and Statistics
Contemporary Bayesian Econometrics and Statistics (Wiley Series in Probability and Statistics)
By John Geweke
Publisher: Wiley-Interscience
Number Of Pages: 320
Publication Date: 2005-09-14
ISBN-10 / ASIN: 0471679321
ISBN-13 / EAN: 9780471679325
Binding: Hardcover
Book Description:
Tools to improve decision making in an imperfect world
This publication provides readers with a thorough understanding of Bayesian analysis that is grounded in the theory of inference and optimal decision making. Contemporary Bayesian Econometrics and Statistics provides readers with state-of-the-art simulation methods and models that are used to solve complex real-world problems. Armed with a strong foundation in both theory and practical problem-solving tools, readers discover how to optimize decision making when faced with problems that involve limited or imperfect data.
The book begins by examining the theoretical and mathematical foundations of Bayesian statistics to help readers understand how and why it is used in problem solving. The author then describes how modern simulation methods make Bayesian approaches practical using widely available mathematical applications software. In addition, the author details how models can be applied to specific problems, including:
Linear models and policy choices
Modeling with latent variables and missing data
Time series models and prediction
Comparison and evaluation of models
The publication has been developed and fine- tuned through a decade of classroom experience, and readers will find the author's approach very engaging and accessible. There are nearly 200 examples and exercises to help readers see how effective use of Bayesian statistics enables them to make optimal decisions. MATLAB® and R computer programs are integrated throughout the book. An accompanying Web site provides readers with computer code for many examples and datasets.
This publication is tailored for research professionals who use econometrics and similar statistical methods in their work. With its emphasis on practical problem solving and extensive use of examples and exercises, this is also an excellent textbook for graduate-level students in a broad range of fields, including economics, statistics, the social sciences, business, and public policy.

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(14) Contemporary Bayesian Econometrics and Statistics.pdf

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huntaway

2009-9-23 11:09:55

16. Image Processing and Jump Regression Analysis
Image Processing and Jump Regression Analysis (Wiley Series in Probability and Statistics)
By Peihua Qiu
Publisher: Wiley-Interscience
Number Of Pages: 344
Publication Date: 2005-01-28
ISBN-10 / ASIN: 0471420999
ISBN-13 / EAN: 9780471420996
Binding: Hardcover
Book Description:
Image Processing and Jump Regression Analysis builds a bridge between the worlds of computer graphics and statistics by addressing both the connections and the differences between these two disciplines. The author provides a systematic breakdown of the methodology behind nonparametric jump regression analysis by outlining procedures that are easy to use, simple to compute, and have proven statistical theory behind them. Key topics include conventional smoothing procedures, estimation of jump regression curves, edge detection in image processing, and edge-preserving image restoration, to name a few. With mathematical proofs kept to a minimum, this book is uniquely accessible as a primary text in nonparametric jump regression analysis and image processing as well as a reference on image processing or curve/surface estimation.

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(16) Image Processing and Jump Regression Analysis.pdf

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huntaway

2009-9-23 11:11:51

17. Operational Risk: Modeling Analytics
Operational Risk : Modeling Analytics (Wiley Series in Probability and Statistics)
By Harry H. Panjer
Publisher: Wiley-Interscience
Number Of Pages: 448
Publication Date: 2006-07-28
ISBN-10 / ASIN: 0471760897
ISBN-13 / EAN: 9780471760894
Binding: Hardcover
Book Description:
Discover how to optimize business strategies from both qualitative and quantitative points of view
Operational Risk: Modeling Analytics is organized around the principle that the analysis of operational risk consists, in part, of the collection of data and the building of mathematical models to describe risk. This book is designed to provide risk analysts with a framework of the mathematical models and methods used in the measurement and modeling of operational risk in both the banking and insurance sectors.
Beginning with a foundation for operational risk modeling and a focus on the modeling process, the book flows logically to discussion of probabilistic tools for operational risk modeling and statistical methods for calibrating models of operational risk. Exercises are included in chapters involving numerical computations for students' practice and reinforcement of concepts.
Written by Harry Panjer, one of the foremost authorities in the world on risk modeling and its effects in business management, this is the first comprehensive book dedicated to the quantitative assessment of operational risk using the tools of probability, statistics, and actuarial science.
In addition to providing great detail of the many probabilistic and statistical methods used in operational risk, this book features:
* Ample exercises to further elucidate the concepts in the text
* Definitive coverage of distribution functions and related concepts
* Models for the size of losses
* Models for frequency of loss
* Aggregate loss modeling
* Extreme value modeling
* Dependency modeling using copulas
* Statistical methods in model selection and calibration
Assuming no previous expertise in either operational risk terminology or in mathematical statistics, the text is designed for beginning graduate-level courses on risk and operational management or enterprise risk management. This book is also useful as a reference for practitioners in both enterprise risk management and risk and operational management.

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(17) Operational Risk Modeling Analytics.pdf

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huntaway

2009-9-23 11:15:29

19. Introductory Biostatistics for the Health Sciences: Modern Applications Including Bootstrap
Introductory Biostatistics for the Health Sciences: Modern Applications Including Bootstrap (Wiley Series in Probability and Statistics)
By Michael R. Chernick, Robert H. Friis
Publisher: Wiley-Interscience
Number Of Pages: 424
Publication Date: 2003-03-17
ISBN-10 / ASIN: 047141137X
ISBN-13 / EAN: 9780471411376
Binding: Hardcover
Book Description:
Accessible to medicine- and/or public policy-related audiences, as well as most statisticians.
Emphasis on outliers is discussed by way of detection and treatment.
Resampling statistics software is incorporated throughout.
Motivating applications are presented in light of honest theory.
Plentiful exercises are sprinkled throughout.
A textbook for an introductory course in statistical methods for undergraduate students in the health sciences who have had high school algebra but not necessarily calculus. A previous statistics course would be helpful but is not necessary.

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(19) Introductory Biostatistics for the Health Sciences (2003).pdf

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huntaway

2009-9-23 11:17:40

22. Applied Logistic Regression
Applied Logistic Regression (Wiley Series in Probability and Statistics - Applied Probability and Statistics Section)
By David W. Hosmer, David W. Hosmer
Hardcover: 392 pages
Publisher: Wiley-Interscience Publication; 2 edition (September 15, 2000)
Language: English
ISBN-10: 0471356328
ISBN-13: 978-0471356325
Book Description:
In this revised and updated edition of their popular book, David Hosmer and Stanley Lemeshow continue to provide an amazingly accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets. Hosmer and Lemeshow extend the discussion from biostatistics and epidemiology to cutting-edge applications in data mining and machine learning, guiding readers step-by-step through the use of modeling techniques for dichotomous data in diverse fields. Ample new topics and expanded discussions of existing material are accompanied by a wealth of real-world examples-with extensive data sets available over the Internet.

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(22) Applied logistic regression.PDF

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huntaway

2009-9-23 11:22:18

23. Operational Subjective Statistical Methods: A Mathematical, Philosophical, and Historical Introduction
Operational Subjective Statistical Methods: A Mathematical, Philosophical, and Historical Introduction (Wiley Series in Probability and Statistics)
By Frank Lad
Hardcover: 512 pages
Publisher: Wiley-Interscience (September 27, 1996)
Language: English
ISBN-10: 0471143294
ISBN-13: 978-0471143291
Book Description:
The mathematical implications of personal beliefs and values in science and commerce
Amid a worldwide resurgence of interest in subjectivist statistical method, this book offers a fresh look at the role of personal judgments in statistical analysis. Frank Lad demonstrates how philosophical attention to meaning provides a sensible assessment of the prospects and procedures of empirical inferential learning.
Operational Subjective Statistical Methods offers a systematic investigation of Bruno de Finetti's theory of probability and logic of uncertainty, which recognizes probability as the measure of personal uncertainty at the heart of its mathematical presentation. It identifies de Finetti's "fundamental theorem of coherent provision" as the unifying structure of probabilistic logic, and highlights the judgment of exchangeability rather than causal independence as the key probabilistic component of statistical inference.
Broad in scope, yet firmly grounded in mathematical detail, this text/reference
Ø
Invites readers to address the subjective personalist meaning of probability as motivating the mathematical construction
Ø
Contains numerous examples and problems, including computing problems using Matlab, assuming no background in Matlab
Ø
Explains how to use the material in three distinct sequential courses in math and statistics, as well as in courses at the graduate level in applied fields
Provides an introductory basis for understanding more complex structures of statistical analysis
Complete with fifty illustrations, Operational Subjective Statistical Methods makes an intriguing discipline accessible to professionals, students, and the interested general reader. It contains a wealth of teaching and research material, and offers profound insight into the relationship between philosophy, faith, and scientific method.

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(23) Operational Subjective Statistical Methods.PDF

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iwhenter

2009-9-24 08:46:25

楼主真是大好人，顶了！收藏先。
赚钱去了，有钱再回来下载。

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BRAD_KLIP

2009-9-26 10:19:05

强烈赞扬楼主的善意！

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egyptsman

2009-9-27 12:38:08

不收费就更好了。

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huzh2000

2009-10-2 09:55:16

good collection. However I can only download 2/3 of Continuous Univariate Distribution 2ed (vol 1). And the quality does not look very good.

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huzh2000

2009-10-2 10:06:31

Good collection. However, I can only download 2/3 of the "Continuous Univariate Distribution 2ed (vol 1).pdf" and the quality does not look very well. It is copied and then scanned. Some formula are not readable. But anyway, thanks for putting all of them together. It would be great if they are free.

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