free statistical books

Advances in Clinical Trial Biostatistics
by Nancy Geller

, (1.2 MB)

link

Statistical Techniques in Bioassay
By Z. Govindarajulu


Publisher: S. Karger Publishers (USA)
Number Of Pages: 234
Publication Date: 2000-10
ISBN-10 / ASIN: 3805571194
ISBN-13 / EAN: 9783805571197
Binding: Hardcover


1284 KB rar pdf

Empirico-Statistical Analysis of Narrative Material and its Applications to Historical Dating: Volume I: The Development of the Statistical Tools Volume ... The Analysis of Ancient and Medieval Records
By A.T. Fomenko


Publisher: Springer
Number Of Pages: 240
Publication Date: 1993-12-31
ISBN-10 / ASIN: 0792326040
ISBN-13 / EAN: 9780792326045
Binding: Hardcover


Product Description:

These two volumes which concern mathematical statistical chronology represent a major, unique work and are the first of its kind published in the English language.
A comprehensive set of mathematical and statistical techniques is presented for the analysis of chronological data. These include, as main tool, the means to compare texts and other sequential data and the ability to judge them in terms of similarity and, hence, closeness. These techniques constitute a new important trend in applied statistics.
Volume I concentrates mainly on the development of the mathematical statistical tools and their application to astronomical data, including the Almagest and simulated data (to test the validity of the methods). Substantial material dealing with historical data and chronology is also included.
Volume II concentrates on the application of these tools to narrative texts and ancient and medieval records (such as Egyptian, Byzantine, Roman, Greek, Babylonian, etc.). An astonishing wealth of historical data is considered. The conclusions which are drawn concerning the accepted chronological dating of events in ancient history will certainly provoke controversy and serious debate. These two volumes provide the necessary background and material for intelligent participation in such debates.
For statisticians, historians, astronomers, archaeologists, and others with an interest in the integrity of historical dating and the means to analyze this.


21966 KB rared pdf

Generalized Linear Models, Second Edition (Monographs on Statistics and Applied Probability)
By P. McCullagh, John A. Nelder


Publisher: Chapman & Hall/CRC
Number Of Pages: 532
Publication Date: 1989-08-01
ISBN-10 / ASIN: 0412317605
ISBN-13 / EAN: 9780412317606
Binding: Hardcover


Product Description:

The success of the first edition of Generalized Linear Models led to the updated Second Edition, which continues to provide a definitive unified, treatment of methods for the analysis of diverse types of data. Today, it remains popular for its clarity, richness of content and direct relevance to agricultural, biological, health, engineering, and other applications. The authors focus on examining the way a response variable depends on a combination of explanatory variables, treatment, and classification variables. They give particular emphasis to the important case where the dependence occurs through some unknown, linear combination of the explanatory variables. The Second Edition includes topics added to the core of the first edition, including conditional and marginal likelihood methods, estimating equations, and models for dispersion effects and components of dispersion. The discussion of other topics-log-linear and related models, log odds-ratio regression models, multinomial response models, inverse linear and related models, quasi-likelihood functions, and model checking-was expanded and incorporates significant revisions. Comprehension of the material requires simply a knowledge of matrix theory and the basic ideas of probability theory, but for the most part, the book is self-contained. Therefore, with its worked examples, plentiful exercises, and topics of direct use to researchers in many disciplines, Generalized Linear Models serves as ideal text, self-study guide, and reference.


mn.rar 16.36 MB
password: gigagiga

Differential Geometry and Statistics (Monographs on Statistics and Applied Probability)
By M.K. Murray, J.W. Rice


Publisher: Chapman & Hall/CRC
Number Of Pages: 288
Publication Date: 1993-04-01
ISBN-10 / ASIN: 0412398605
ISBN-13 / EAN: 9780412398605
Binding: Hardcover

zip pdf
mrdgs.zip 22.96 MB
password: gigagiga

Machine Learning and Statistical Modeling Approaches to Image Retrieval (The Information Retrieval Series)
By Yixin Chen, Jia Li, James Z. Wang


Publisher: Springer
Number Of Pages: 182
Publication Date: 2004-05-27
ISBN-10 / ASIN: 1402080344
ISBN-13 / EAN: 9781402080340
Binding: Hardcover


Product Description:

In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieval have grown into research areas sharing a vision of intelligent agents. Far beyond Web searching, image indexing and retrieval can potentially be applied to many other areas, including biomedicine, space science, biometric identification, digital libraries, the military, education, commerce, culture and entertainment.
Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results. The topics of this book reflect authors' experiences of machine learning and statistical modeling based image indexing and retrieval. This book contains detailed references for further reading and research in this field as well.


Its around 33.1 MB

Data Analysis for Politics and Policy (Foundations of Modern Political Science)
By Edward R. Tufte


Publisher: Prentice Hall
Number Of Pages: 192
Publication Date: 1974-09
ISBN-10 / ASIN: 0131975412
ISBN-13 / EAN: 9780131975415
Binding: Hardcover


Summary: Clear exposition and nascent use of clear graphics
Rating: 5

Prior to becoming THE authority on the graphic display of quantitative information, Edward Tufte was a political scientist of the first order, an excellent statistician and a teacher par excellence. This slim volume is one of the clearest introduction to the use of regression analysis one could hope to find. I used it extensively in graduate school and have consulted frequently since.

The clear use of graphics foretell Tufte's groundbreaking later work and provide a guide for thinking statistically.

More importantly, Tufte is rigorous and demands one to constantly evaluate the quality of the data at hand and the logical or causal relationships one is positing. \

A great book for the beginning data analyst and a must for political science graduate students.

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
Binding: Hardcover


Summary: amazing content, but too many errors
Rating: 2

I agree completely with the reader from Ithaca. The last time
I used it for something important, there was a serious typo in a
formula, and much time was wasted.


Summary: Mixed Feelings
Rating: 3

I have mixed feelings about this book.

On the positive side, it contains a wealth of useful information about a large number of continuous probability distribution functions. I use it all the time as a reference in my work. The book contains a extensive bibliography which has been useful time and time again when I need to look up things in the literature.

My first complaint is there are a number of mistakes. I realize this is a huge mass of information and mistakes are inevitable, but I found it quite unacceptable that the probability density function for the Normal distribution was incorrect. Equation 13.1 is missing a factor of sigma in the denominator. This one was quite obvious, but there have been several more subtle errors, which have caused me to waste a large amount of time searching my own work for mathematical errors, until I finally realized the source of the error was the book!

My second complaint is consistency (or lack thereof). The symbols and notation used for one distribution are not necessarily used in the same way for another distribution. This can be quite frustrating! Also, the organization from chapter to chapter (each chapter corresponds to one distribution or one distribution family) is not consistent. For example, for the Lognormal distribution, there is one section (called "Introduction") which gives the pdf of the distribution and a second section (called "Moments and Other Properties") where the moments of the distribution are listed. For the Weibull distribution, both the pdf and the moments are in one section (labeled "Definition"). This sounds like a minor point, until it comes time for you to look one of these things up!

In summary, I need this book to do my job. But I keep wishing there was another book that had the same information, but with better accuracy and organization.


20MB pdf

Automatic Nonuniform Random Variate Generation (Statistics and Computing)
By Wolfgang Hörmann, Josef Leydold, Gerhard Derflinger


Publisher: Springer
Number Of Pages: 442
Publication Date: 2004-01-12
ISBN-10 / ASIN: 3540406522
ISBN-13 / EAN: 9783540406525
Binding: Hardcover


Product Description:


Non-uniform random variate generation is an established research area in the intersection of mathematics, statistics and computer science. Although random variate generation with popular standard distributions have become part of every course on discrete event simulation and on Monte Carlo methods, the recent concept of universal (also called automatic or black-box) random variate generation can only be found dispersed in literature. This new concept has great practical advantages that are little known to most simulation practitioners. Being unique in its overall organization the book covers not only the mathematical and statistical theory, but also deals with the implementation of such methods. All algorithms introduced in the book are designed for practical use in simulation and have been coded and made available by the authors. Examples of possible applications of the presented algorithms (including option pricing, VaR and Bayesian statistics) are presented at the end of the book.


40MB pdf

Discrete Multivariate Distributions
By Norman L. Johnson, Samuel Kotz, N. Balakrishnan


Publisher: Wiley-Interscience
Number Of Pages: 328
Publication Date: 1997-01-24
ISBN-10 / ASIN: 0471128449
ISBN-13 / EAN: 9780471128441
Binding: Hardcover


Product Description:

Timely, comprehensive, practical—an important working resource for all who use this critical statistical method

Discrete Multivariate Distributions is the only comprehensive, single-source reference for this increasingly important statistical subdiscipline. It covers all significant advances that have occurred in the field over the past quarter century in the theory, methodology, computational procedures, and applications of discrete multivariate distributions in a wide range of disciplines. Distributions covered include multinomial, binomial, negative binomial, Poisson, power series, hypergeometric, Pólya-Eggenberger, Ewens, orders, and some families of distributions. Each distribution is presented in its own chapter, along with necessary details and descriptions of real-world applications gleaned from the current literature on discrete multivariate distributions.

Discrete Multivariate Distributions is the fourth volume of the ongoing revision of Johnson and Kotz's acclaimed Distributions in Statistics—universally acknowledged to be the definitive work on statistical distributions. Originally planned as a revision of Chapter 11 of that classic, this project soon blossomed into a substantial volume as a result of the unprecedented growth that has occurred in the literature on discrete multivariate distributions and their applications over the past quarter century.

The only comprehensive, single-volume work on the subject, this valuable reference affords statisticians direct access to all of the latest developments concerning discrete multivariate distributions. Concentrating primarily on areas of interest to theoretical as well as applied statisticians, the authors provide complete coverage of several important discrete multivariate distributions. These include multinomial, binomial, negative binomial, Poisson, power series, hypergeometric, Pólya-Eggenberger, Ewens, orders, and some families of distributions.

Discrete Multivariate Distributions begins with a general overview of the multivariate method in which the authors lay the basic theoretical groundwork for the discussions that follow. For clarity and consistency, subsequent chapters follow a similar format, beginning with a concise historical account followed by a discussion of properties and characteristics. Coverage then advances to in-depth explorations of inferential issues and applications, liberally supplemented with helpful details and a collection of real-world applications obtained from the authors' extensive searches of current literature worldwide.

Discrete Multivariate Distributions is an essential working resource for researchers, professionals, practitioners, and graduate students in statistics, mathematics, computer science, engineering, medicine, and the biological sciences.


9MB pdf

Coping with Chaos: Analysis of Chaotic Data and The Exploitation of Chaotic Systems
By Edward Ott, Tim Sauer, James A. Yorke


Publisher: Wiley-Interscience
Number Of Pages: 418
Publication Date: 1994-08-09
ISBN-10 / ASIN: 0471025569
ISBN-13 / EAN: 9780471025566
Binding: Hardcover


Product Description:

Demonstrates how a basic knowledge of chaos theory can be used to evaluate chaotic experimental time series data and how to apply the presence of chaos to achieve practical goals. After familiarizing the reader with fundamental concepts of chaos, the text introduces the important topics of dimension, symbolic dynamics, Lyapunov exponents and entropy. Contains extensive reprints from major papers on the subject and concludes with a research bibliography of articles directed toward coping with chaos.

Probability and Statistics Lecture Notes
by Charles J. Geyer

rar, 3949 KB

Design and Analysis of Ecological Experiments
By Samuel M. Scheiner, Jessica Gurevitch


Publisher: Oxford University Press, USA
Number Of Pages: 432
Publication Date: 2001-04-26
ISBN-10 / ASIN: 0195131878
ISBN-13 / EAN: 9780195131871
Binding: Hardcover


Product Description:

Ecological research and the way that ecologists use statistics continues to change rapidly. This second edition of the best-selling Design and Analysis of Ecological Experiments leads these trends with an update of this now-standard reference book, with a discussion of the latest developments in experimental ecology and statistical practice.
The goal of this volume is to encourage the correct use of some of the more well known statistical techniques and to make some of the less well known but potentially very useful techniques available. Chapters from the first edition have been substantially revised and new chapters have been added. Readers are introduced to statistical techniques that may be unfamiliar to many ecologists, including power analysis, logistic regression, randomization tests and empirical Bayesian analysis. In addition, a strong foundation is laid in more established statistical techniques in ecology including exploratory data analysis, spatial statistics, path analysis and meta-analysis. Each technique is presented in the context of resolving an ecological issue. Anyone from graduate students to established research ecologists will find a great deal of new practical and useful information in this current edition.


rar ~24MB

Extreme Value and Related Models with Applications in Engineering and Science
By Enrique Castillo, Ali S. Hadi, N. Balakrishnan, Jose M. Sarabia


Publisher: Wiley-Interscience
Number Of Pages: 362
Publication Date: 2004-11-04
ISBN-10 / ASIN: 047167172X
ISBN-13 / EAN: 9780471671725
Binding: Hardcover


Product Description:

Here's an elementary and comprehensive discussion on extreme value and related models. By using a large number of practical data from different science and engineering disciplines, it illustrates the practical importance and usefulness of extreme value modeling. Unusual, provocative, and concrete examples are derived from areas such as ocean engineering, structural engineering, hydraulics, meteorology, materials science, fatigue studies, electrical strength of materials, highway traffic analysis, corrosion science, environmetrics, climatology, among others.
* Emphasizes lucid and analytic explanations of the data in the context of a global world.
* Presents specific data in wind, flood, wave, Houmb's, Ocmulgee River, oldest age at death in Sweden, telephone calls, epicenter, chain strength, electrical insulation, fatigue, precipitation, and Bilbao wave heights phenomena.
* Discusses different types of inference, extreme value regression, and handling of outliers.



Summary: good mix of theory and application
Rating: 4

Extreme value theory has many applications in various engineering industries and environmental monitoring. When I was a graduate student at Stanford we did research on environmental pollution monitoring and extremes played a role in determining thresholds to set for the continuous monitoring of the San Francisco Bay area. My PhD research was in the limit theory for extremes from stationary dependent processes. In this book Castillo provides results and references covering the key results that can be found in the more theoretical books such as Galambos and the Leadbetter, Lindgren and Rootzen text. Most texts prior to this one concentrate on theory. The first book by Gumbel in 1958 dealt with applications and the theory for independent random variables.

I was gratified to see some of my publications cited in Castillo's first text. There has been much more theoretical development and very little literature and texts on applications prior to that book. However there was a push by the researchers in extreme values and the National Institute of Standards and Technology (NIST) to develop more applications. Stefan Leigh from NIST helped organize a conference at NIST in Gaithersburg Maryland where many of the prominent researchers came and gave papers with applications being the main theme.

So, in recent years there have been several good books published (nearly a dozen) that provide the theory and the applications in areas like hydrology. geology and environmental science.

This book coauthored with Hadi and others stands out with several others now as a good reference for both the theory and the practical applications and this is much more suitable for a first course in extremes.

The extension of the theory to dependent situations definitely broaden the scope of applications and the text by Leadbetter, Lindgren and Rootzen was the first to present those results in a cohesive and well organized manner.

pdf 12MB

Randomised Controlled Trials: A User's Guide
By Alejandro R. Jadad, Alejandro, R Jarad


Publisher: Bmj Publishing Group
Number Of Pages: 123
Publication Date: 1998-10
ISBN-10 / ASIN: 0727912089
ISBN-13 / EAN: 9780727912084
Binding: Hardcover


Book Description:

The randomised controlled trial is one of the simplest, most powerful and revolutionary tools of research. This new book is written for any person interested in the use of RCTs in clinical, research, or policy decisions. It will be a valuable source of information in which users will find accessible, non-statistical answers to their most frequently asked questions

merci pour Probability and Statistics Lecture Notes

Applied Statistics Using SPSS, STATISTICA, MATLAB and R
By Joaquim P. Marques de Sá


Publisher: Springer
Number Of Pages: 506
Publication Date: 2007-07-20
ISBN-10 / ASIN: 3540719717
ISBN-13 / EAN: 9783540719717
Binding: Hardcover


Product Description:


This practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most common software package. Intended for anyone needing to apply statistical analysis to a large variety of science and enigineering problems, the book explains and shows how to use SPSS, MATLAB, STATISTICA and R for analysis such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. It concisely explains key concepts and methods, illustrated by practical examples using real data, and includes a CD-ROM with software tools and data sets. Readers learn which software tools to apply and gain insights into the comparative capabilities of the primary software packages. Major improvements of the second edition are the inclusion of the R language, a new section on bootstrap estimation methods and an improved treatment of tree classifiers as well as extra examples and exercises.


Rar'd PDF
6 MB

Discrete Multivariate Distributions
By Norman L. Johnson, Samuel Kotz, N. Balakrishnan


Publisher: Wiley-Interscience
Number Of Pages: 328
Publication Date: 1997-01-24
ISBN-10 / ASIN: 0471128449
ISBN-13 / EAN: 9780471128441
Binding: Hardcover


Product Description:

Timely, comprehensive, practical--an important working resource for all who use this critical statistical method

Discrete Multivariate Distributions is the only comprehensive, single-source reference for this increasingly important statistical subdiscipline. It covers all significant advances that have occurred in the field over the past quarter century in the theory, methodology, computational procedures, and applications of discrete multivariate distributions in a wide range of disciplines. Distributions covered include multinomial, binomial, negative binomial, Poisson, power series, hypergeometric, Polya-Eggenberger, Ewens, orders, and some families of distributions. Each distribution is presented in its own chapter, along with necessary details and descriptions of real-world applications gleaned from the current literature on discrete multivariate distributions.

Discrete Multivariate Distributions is the fourth volume of the ongoing revision of Johnson and Kotz's acclaimed Distributions in Statistics--universally acknowledged to be the definitive work on statistical distributions. Originally planned as a revision of Chapter 11 of that classic, this project soon blossomed into a substantial volume as a result of the unprecedented growth that has occurred in the literature on discrete multivariate distributions and their applications over the past quarter century.

The only comprehensive, single-volume work on the subject, this valuable reference affords statisticians direct access to all of the latest developments concerning discrete multivariate distributions. Concentrating primarily on areas of interest to theoretical as well as applied statisticians, the authors provide complete coverage of several important discrete multivariate distributions. These include multinomial, binomial, negative binomial, Poisson, power series, hypergeometric, Polya-Eggenberger, Ewens, orders, and some families of distributions.

Discrete Multivariate Distributions begins with a general overview of the multivariate method in which the authors lay the basic theoretical groundwork for the discussions that follow. For clarity and consistency, subsequent chapters follow a similar format, beginning with a concise historical account followed by a discussion of properties and characteristics. Coverage then advances to in-depth explorations of inferential issues and applications, liberally supplemented with helpful details and a collection of real-world applications obtained from the authors' extensive searches of current literature worldwide.

pdf of size 8.4 MB

Statistics: Making Sense of Data
by William F. Stout, John I. Marden, Kenneth J. Travers

13.02 mb rared pdf no passl]

Bayesian Theory
By José M. Bernardo, Adrian F. M. Smith


Publisher: Wiley
Number Of Pages: 586
Publication Date: 1994-01-15
ISBN-10 / ASIN: 0471924164
ISBN-13 / EAN: 9780471924166
Binding: Hardcover


Product Description:

This highly acclaimed text, now available in paperback, provides a thorough account of key concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central role in the development of the theory, which provides, in particular, a detailed discussion of the problem of specification of so-called prior ignorance . The work is written from the authors s committed Bayesian perspective, but an overview of non-Bayesian theories is also provided, and each chapter contains a wide-ranging critical re-examination of controversial issues. The level of mathematics used is such that most material is accessible to readers with knowledge of advanced calculus. In particular, no knowledge of abstract measure theory is assumed, and the emphasis throughout is on statistical concepts rather than rigorous mathematics. The book will be an ideal source for all students and researchers in statistics, mathematics, decision analysis, economic and business studies, and all branches of science and engineering, who wish to further their understanding of Bayesian statistics

Numerical Recipes 3rd Edition: The Art of Scientific Computing
By William H. Press, Saul A. Teukolsky, William T. Vetterling, Brian P. Flannery


Publisher: Cambridge University Press
Number Of Pages: 1256
Publication Date: 2007-09-10
ISBN-10 / ASIN: 0521880688
ISBN-13 / EAN: 9780521880688
Binding: Hardcover


Product Description:

Co-authored by four leading scientists from academia and industry, Numerical Recipes Third Edition starts with basic mathematics and computer science and proceeds to complete, working routines. Widely recognized as the most comprehensive, accessible and practical basis for scientific computing, this new edition incorporates more than 400 Numerical Recipes routines, many of them new or upgraded. The executable C++ code, now printed in color for easy reading, adopts an object-oriented style particularly suited to scientific applications. The whole book is presented in the informal, easy-to-read style that made earlier editions so popular. Please visit www.nr.com or www.cambridge.org/us/numericalrecipes for more details. New key features:
2 new chapters, 25 new sections, 25% longer than Second Edition
Thorough upgrades throughout the text
Over 100 completely new routines and upgrades of many more.
New Classification and Inference chapter, including Gaussian mixture models, HMMs, hierarchical clustering, Support Vector Machines
New Computational Geometry chapter covers KD trees, quad- and octrees, Delaunay triangulation, and algorithms for lines, polygons, triangles, and spheres
New sections include interior point methods for linear programming, Monte Carlo Markov Chains, spectral and pseudospectral methods for PDEs, and many new statistical distributions
An expanded treatment of ODEs with completely new routines
Plus comprehensive coverage of
linear algebra, interpolation, special functions, random numbers, nonlinear sets of equations, optimization, eigensystems, Fourier methods and wavelets, statistical tests, ODEs and PDEs, integral equations, and inverse theory
And much, much more! Visit the authors' web site for information about electronic subscriptions www.nr.com/aboutNR3book.html


7,54 MB RAR'd PDF
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Statistics in a Nutshell: A Desktop Quick Reference (In a Nutshell (O'Reilly))
By Sarah Boslaugh, Paul Watters


Publisher: O'Reilly Media, Inc.
Number Of Pages: 476
Publication Date: 2008-08-05
ISBN-10 / ASIN: 0596510497
ISBN-13 / EAN: 9780596510497
Binding: Paperback


Product Description:

Need to learn statistics as part of your job, or want some help passing a statistics course? Statistics in a Nutshell is a clear and concise introduction and reference that's perfect for anyone with no previous background in the subject. This book gives you a solid understanding of statistics without being too simple, yet without the numbing complexity of most college texts.

You get a firm grasp of the fundamentals and a hands-on understanding of how to apply them before moving on to the more advanced material that follows. Each chapter presents you with easy-to-follow descriptions illustrated by graphics, formulas, and plenty of solved examples. Before you know it, you'll learn to apply statistical reasoning and statistical techniques, from basic concepts of probability and hypothesis testing to multivariate analysis.

Size: 2.644 MB

Model Order Reduction: Theory, Research Aspects and Applications (Mathematics in Industry / The European Consortium for Mathematics in Industry)
By Wilhelmus H.A. Schilders, Henk A. van der Vorst, Joost Rommes


Publisher: Springer
Number Of Pages: 472
Publication Date: 2008-09-01
ISBN-10 / ASIN: 3540788409
ISBN-13 / EAN: 9783540788409
Binding: Hardcover


Product Description:


The goal of this book is three-fold: it describes the basics of model order reduction and related aspects.

In numerical linear algebra, it covers both general and more specialized model order reduction techniques for linear and nonlinear systems, and it discusses the use of model order reduction techniques in a variety of practical applications. The book contains many recent advances in model order reduction, and presents several open problems for which techniques are still in development. It will serve as a source of inspiration for its readers, who will discover that model order reduction is a very exciting and lively field.

5.063 MB rared pdf

Nonparametric Statistics with Applications to Science and Engineering (Wiley Series in Probability and Statistics)
By Paul H. Kvam, Brani Vidakovic


Publisher: Wiley-Interscience
Number Of Pages: 420
Publication Date: 2007-07-23
ISBN-10 / ASIN: 0470081473
ISBN-13 / EAN: 9780470081471
Binding: Hardcover


Product Description:

This book presents modern nonparametric statistics from a practical point of view. It is primarily intended for use with engineers and scientists. While the book covers the necessary theorems and methods of rank tests in an applied fashion, the novelty lies in its emphasis on modern nonparametric methods in regression and curve fitting, bootstrap confidence intervals, splines, wavelets, empirical and nonparametric likelihood, and goodness of fit testing. MATLAB is the computing and programming system of choice throughout the book because of its special applicability for research analysis and simulation.



Summary: modern nonparametrics with engineering applications
Rating: 5

The authors are both professor at the Georgia Institute of Technology and are accomplished statistical researchers. Vidakovic is an expert probabilist as well, and has also written a probability text on wavelets. He teaches biomedical engineering. Both authors have taught a graduate level engineering course in nonparametric statistics and they both have done some research in nonparametric methods. This text is very modern as it includes bootstrap methods, Bayesian nonparametric methods and wavelets with an eye toward engineering applications. The first five chapters are simply a review of basic concepts in probability and statistics, then in Chapter 6 goodness of fit methods are covered. Chapters 6 - 10 cover the standard topics. Interesting features are the introduction of pictures of famous statisticians who have contributed methods with their names associated with them. Mann and Whitney, Kruskal and Wallace, Fisher and Friedman are among the ones that belong in this group.

Chapter 11 covers density estimation and Chapter 12 covers robust regression, isotonic regression and generalized linear models. The remaining chapters cover curve fitting, wavelets and the bootstrap with the engineering models and applications and are very valuable modern techniques with engineering applications. Statistical learning methods are introduced and sometimes are important to engineers and engineering applications. This is an excellent text and could be a useful reference for engineers and statisticians.


15.19 MB Rar'd PDF