free statistical books

Applied Regression Analysis (Wiley Series in Probability and Statistics)
By Norman R. Draper, Harry Smith


Publisher: Wiley-Interscience
Number Of Pages: 736
Publication Date: 1998-04-23
ISBN-10 / ASIN: 0471170828
ISBN-13 / EAN: 9780471170822
Binding: Hardcover




Product Description:

An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of regression analysis. Assuming only a basic knowledge of elementary statistics, Applied Regression Analysis, Third Edition focuses on the fitting and checking of both linear and nonlinear regression models, using small and large data sets, with pocket calculators or computers. This Third Edition features separate chapters on multicollinearity, generalized linear models, mixture ingredients, geometry of regression, robust regression, and resampling procedures. Extensive support materials include sets of carefully designed exercises with full or partial solutions and a series of true/false questions with answers. All data sets used in both the text and the exercises can be found on the companion disk at the back of the book. For analysts, researchers, and students in university, industrial, and government courses on regression, this text is an excellent introduction to the subject and an efficient means of learning how to use a valuable analytical tool. It will also prove an invaluable reference resource for applied scientists and statisticians.

Spatial Econometrics: Methods and Applications (Studies in Empirical Economics)
By Giuseppe Arbia, Badi H. Baltagi


Publisher: Physica-Verlag Heidelberg
Number Of Pages: 281
Publication Date: 2008-12-01
ISBN-10 / ASIN: 3790820695
ISBN-13 / EAN: 9783790820690
Binding: Hardcover




Product Description:



Spatial Econometrics is a rapidly evolving field born from the joint efforts of economists, statisticians, econometricians and regional scientists. The book provides the reader with a broad view of the topic by including both methodological and application papers. Indeed the application papers relate to a number of diverse scientific fields ranging from hedonic models of house pricing to demography, from health care to regional economics, from the analysis of R&D spillovers to the study of retail market spatial characteristics. Particular emphasis is given to regional economic applications of spatial econometrics methods with a number of contributions specifically focused on the spatial concentration of economic activities and agglomeration, regional paths of economic growth, regional convergence of income and productivity and the evolution of regional employment. Most of the papers appearing in this book were solicited from the International Workshop on Spatial Econometrics and Statistics held in Rome (Italy) in 2006.


RARed PDF, vector, 2.78 MB

Introducing Social Networks (Introducing Statistical Methods series)
By Alain Degenne, Michel Forse


Publisher: Sage Publications Ltd
Number Of Pages: 256
Publication Date: 1999-08-09
ISBN-10 / ASIN: 0761956042
ISBN-13 / EAN: 9780761956044
Binding: Paperback


Product Description:

This first-rate introduction to the study of social networks combines a hands-on manual with an up-to-date review of the latest research and techniques.


The authors provide a thorough grounding in the application of the methods of social network analysis. They offer an understanding of the theory of social structures in which social network analysis is grounded, a summary of the concepts needed for dealing with more advanced techniques, and guides for using the primary computer software packages for social network analysis.

Introduction to Statistical Decision Theory
By John W. Pratt, Howard Raiffa, Robert Schlaifer


Publisher: The MIT Press
Number Of Pages: 895
Publication Date: 1995-03-27
ISBN-10 / ASIN: 0262161443
ISBN-13 / EAN: 9780262161442
Binding: Hardcover




Product Description:

The Bayesian revolution in statistics—where statistics is integrated with decision making in areas such as management, public policy, engineering, and clinical medicine—is here to stay. Introduction to Statistical Decision Theory states the case and in a self-contained, comprehensive way shows how the approach is operational and relevant for real-world decision making under uncertainty.

Starting with an extensive account of the foundations of decision theory, the authors develop the intertwining concepts of subjective probability and utility. They then systematically and comprehensively examine the Bernoulli, Poisson, and Normal (univariate and multivariate) data generating processes. For each process they consider how prior judgments about the uncertain parameters of the process are modified given the results of statistical sampling, and they investigate typical decision problems in which the main sources of uncertainty are the population parameters. They also discuss the value of sampling information and optimal sample sizes given sampling costs and the economics of the terminal decision problems.

Unlike most introductory texts in statistics, Introduction to Statistical Decision Theory integrates statistical inference with decision making and discusses real-world actions involving economic payoffs and risks. After developing the rationale and demonstrating the power and relevance of the subjective, decision approach, the text also examines and critiques the limitations of the objective, classical approach.


6.29m

A Primer on the Taguchi Method (Competitive Manufacturing Series)
by Ranjit K. Roy

RAR-ed PDF 25.5 MB

Modelling Non-Stationary Economic Time Series: A Multivariate Approach (Palgrave Texts in Econometrics)
By Simon P. Burke, John Hunter


Publisher: Palgrave Macmillan
Number Of Pages: 256
Publication Date: 2005-09-17
ISBN-10 / ASIN: 140390202X
ISBN-13 / EAN: 9781403902023
Binding: Hardcover


Product Description:

Co-integration, equilibrium and equilibrium correction are key concepts in modern applications of econometrics to real world problems. This book provides direction and guidance to the now vast literature facing students and graduate economists. Econometric theory is linked to practical issues such as how to identify equilibrium relationships, how to deal with structural breaks associated with regime changes and what to do when variables are of different orders of integration.

Numerical Methods in Finance: A MATLAB-Based Introduction
By Paolo Brandimarte


Publisher: Wiley-Interscience
Number Of Pages: 416
Publication Date: 2001-10-12
ISBN-10 / ASIN: 0471396869
ISBN-13 / EAN: 9780471396864
Binding: Hardcover


Product Description:

Balanced coverage of the methodology and theory of numerical methods in finance

Numerical Methods in Finance bridges the gap between financial theory and computational practice while helping students and practitioners exploit MATLAB for financial applications.

Paolo Brandimarte covers the basics of finance and numerical analysis and provides background material that suits the needs of students from both financial engineering and economics perspectives. Classical numerical analysis methods; optimization, including less familiar topics such as stochastic and integer programming; simulation, including low discrepancy sequences; and partial differential equations are covered in detail. Extensive illustrative examples of the application of all of these methodologies are also provided.

The text is primarily focused on MATLAB-based application, but also includes descriptions of other readily available toolboxes that are relevant to finance. Helpful appendices on the basics of MATLAB and probability theory round out this balanced coverage. Accessible for students–yet still a useful reference for practitioners–Numerical Methods in Finance offers an expert introduction to powerful tools in finance.

SPSS Explained
By Charlo Brownlow


Publisher: Routledge
Number Of Pages: 352
Publication Date: 2004-12-17
ISBN-10 / ASIN: 0415274109
ISBN-13 / EAN: 9780415274104
Binding: Paperback


Product Description:

SPSS Explained provides students with all that they need to undertake statistical analysis using SPSS, guiding them from the basic rationale behind the statistics, through detailed explanations of the procedures, and finally to all aspects of the SPSS output. Uniquely, the explanation of the output is divided into both an essentials and an advanced section. The essentials section covers the basics that the student will need to write up statistics for a research report. The advanced section provides the more advanced users with an explanation for every part of the output to help with further understanding of the statistics.

Statistical Methods for the Social Sciences (3rd Edition)
By Alan Agresti, Barbara Finlay


Publisher: Prentice Hall
Number Of Pages: 643
Publication Date: 1997-03-28
ISBN-10 / ASIN: 0135265266
ISBN-13 / EAN: 9780135265260
Binding: Hardcover




Product Description:



Assuming no prior knowledge of statistics, these authors combine their varied backgrounds—one a statistician, the other a social scientist—to introduce statistical methods with a high degree of statistical accuracy and a wealth of examples that are interesting and relevant to social scientists. The Third Edition has been both updated and improved to integrate real-world data into examples and exercises, and make coverage more accessible throughout.



File-Size: 27,23 MB
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An R and S Plus Companion to Applied Regression
By John Fox


Publisher: Sage Publications, Inc
Number Of Pages: 328
Publication Date: 2002-06-15
ISBN-10 / ASIN: 0761922792
ISBN-13 / EAN: 9780761922797
Binding: Hardcover




Product Description:

"The text does an outstanding job of providing the necessary mechanics and theory of the S language. I will use this book in every such course that I teach from this point on."

-JEFF GILL,
University of Florida, Gainesville

"The book provides a valuable supplement to texts on regression analysis and linear models by showing readers how to put into practice the strategies and techniques involved in modern statistical methodology. It explains clearly the use of a very sophisticated and powerful statistical software system. And, while the examples and objectives are focused closely on regression and related techniques, the discussion successfully conveys general advice and principles for statistical computing with the S system."

-WILLIAM JACOBY,
University of South Carolina

Features:
Various facilities of S are introduced as needed within the context of detailed examples Cumulative examples: later examples often depend upon earlier ones, but examples in separate chapters are always independent of each other Asterisks note more demanding material that may be skipped without loss of continuity Boxes explain and highlight the many small differences between S-PLUS and R, and between S3 and S4, so that the reader can quickly locate the material that is relevant to their version of S or skip that information A companion Web site, featuring: instructions for downloading, installing, and using the Windows version of R; add-on packages; versions of the car (companion to applied regression) library that includes the software and data sets described in the book; an appendix for various extensions of regression analysis not covered in the text; and downloadable scripts for all of the examples in the text



"If you want to keep up with the latest developments in statistics, you need to use the computer language S. If you want to learn S, there isn’t a better way to get started than Fox’s An R and S-Plus Companion to Applied Regression."

-J. SCOTT LONG, Indiana University


DjVu, searchable, 2.2 MB

Proceedings on a Workshop on Statistics on Networks
By Scott T. Weidman


Publisher: Natl Academy Pr
Number Of Pages:
Publication Date: 2007-10-30
ISBN-10 / ASIN: 0309101050
ISBN-13 / EAN: 9780309101059
Binding: Hardcover


12083.pdf (18.16 MB)

Biostatistics for Animal Science
By Miroslav Kaps, William R. Lamberson


Publisher: CABI
Number Of Pages: 460
Publication Date: 2004-09-16
ISBN-10 / ASIN: 0851998208
ISBN-13 / EAN: 9780851998206
Binding: Paperback




Product Description:

Designed to cover techniques for analysis of data in the animal sciences, this book provides a complete source of information for students and researchers with a basic statistical background. The first part of the book provides an overview of the basic principles of statistics. The second half covers more complex applications and detailed procedures for analyzing designs commonly used in research in animal sciences.


2.85 MB PDF.rar

Reliability of Large Systems
By Krzysztof Kolowrocki


Publisher: Elsevier Science
Number Of Pages: 358
Publication Date: 2004-04-29
ISBN-10 / ASIN: 0080444296
ISBN-13 / EAN: 9780080444291
Binding: Hardcover


Product Description:

As mechanisms grow in size and complexity, safety and reliability become of paramount importance. Such complexity makes the assessment of reliability and safety particularly difficult. Kolowrocki delivers the complete elaboration of the asymptotic approach to reliability evaluation. The text is mathematical, but applications of these methods cover wide range of engineering fields, from communication networks and microelectronic devices to transportation systems, piping transportation of water, gas, oil and various chemical substances.

Only reference with on asymptotic approach to reliability currently on the market
Suitable for use as a postgraduate course book
Contains many new theoretical results

The Natural Axiom System of Probability Theory: Mathematical Model of the Random Universe
By Daguo Xiong


Publisher: World Scientific Pub Co Inc
Number Of Pages: 200
Publication Date: 2003-07
ISBN-10 / ASIN: 9812384081
ISBN-13 / EAN: 9789812384089
Binding: Hardcover




Product Description:

The causation space established in this text is a mathematical model of the random universe and a "living house" of all random tests and probability spaces. By using this space, one can introduce the mathematical calculation methods related to probability spaces and random tests. The work also points out that the basic unit to be studied in the probability theory is the random test, and not a stand-alone event.




Summary: Severe translation problems with major errors about Keynes's theory
Rating: 2

This book is extremely difficult to read due to what appears to be great difficulties in translating the text to English.It is not clear to this reader if any significant improvement has been made over the standard results that can be derived using the Kolmogorov axioms, which only hold for series of events composed of phenomena that is homogeneous,uniform,stable,symmetric,continuous,independent and random through time.Some areas of the life and physical sciences can apply such a theory effectively.It has very limited applicability in the social sciences,liberal arts,economics,business,education(educational psychology and vocational education),and practical everyday decision making.The Kolmogorov approach is just too narrow.On page 14 the author makes the following claim:"This belief(i.e.,Keynes's degree of rational belief) is not able to be given some value and is only able to compare each other[13]"(p.14).The author has erred in his claim,since the vast majority of probabilities for Keynes are interval estimates based on his interval approach to probability ,first presented to the careful reader in chapter III of the A Treatise on Probability(TP) in 1921 and then systematically developed in Part II of the TP in chapters 15 and 17.The author's error is a very common one that results from the uncritical acceptance of two very poor book reviews ,published on Keynes's book by F Ramsey in 1922 and 1926,respectively,by practically every philosopher in the 20th century,excluding only Bertrand Russell.It is not surprising ,then,that the author misidentifies Keynes as a subjectivist.


Rar'd Optimized PDF, 2.67 MB

Handbook of Software Reliability Engineering
By Michael R. Lyu


Publisher: Mcgraw-Hill (Tx)
Number Of Pages: 850
Publication Date: 1996-04
ISBN-10 / ASIN: 0070394008
ISBN-13 / EAN: 9780070394001
Binding: Hardcover




Product Description:

Broader in scope than other books, this compendium is the last word on software reliability engineering from some of the field's most prestigious innovators at institutions like AT&T, NCR, and IBM. Using this guide, software developers, designers, and project managers, high-level applications programmers and designers, and students will be able to tap into an unparalleled repository of accumulated experience and expertise. Besides including pertinent background information, this handbook covers the latest techniques and practices in a wide range of applications, including metrics, testing schemes, and fault-tolerant software. Benchmark case studies from major companies also are included. Far and away, the most comprehensive and up-to-date professional resource available.

RAR file (33.9 Mb) includes the book PDF (36.3 Mb) and the book zipped CD (1.05 Mb)
password:bulldog

Analysis of Variance Designs: A Conceptual and Computational Approach with SPSS and SAS
By Glenn Gamst, Lawrence S. Meyers, A. J. Guarino


Publisher: Cambridge University Press
Number Of Pages: 594
Publication Date: 2008-09-01
ISBN-10 / ASIN: 0521874815
ISBN-13 / EAN: 9780521874816
Binding: Hardcover




Product Description:

Analysis of Variance Designs presents the foundations of experimental design: assumptions, statistical significance, strength of effect, and the partitioning of the variance. Exploring the effects of one or more independent variables on a single dependent variable as well as two-way and three-way mixed designs, this textbook offers an overview of traditionally advanced topics for progressive undergraduates and graduate students in the behavioral and social sciences. Separate chapters are devoted to multiple comparisons (post hoc and planned/weighted), ANCOVA, and advanced topics. Each of the design chapters contains conceptual discussions, hand calculations, and procedures for the omnibus and simple effects analyses in both SPSS and the new "click and shoot" SAS Enterprise Guide interface.





9.52 mb pdfrar w 4-level bookmarks
no pass

Multivariate Statistical Modelling Based on Generalized Linear Models (Springer Series in Statistics)
By Ludwig Fahrmeir, Gerhard Tutz


Publisher: Springer
Number Of Pages: 425
Publication Date: 1994-05
ISBN-10 / ASIN: 0387942335
ISBN-13 / EAN: 9780387942339
Binding: Hardcover




Product Description:

This book is concerned with the use of generalized linear models for univariate and multivariate regression analysis. Its emphasis is to provide a detailed introductory survey of the subject based on the analysis of real data drawn from a variety of subjects including the biological sciences, economics, and the social sciences. Where possible, technical details and proofs are deferred to an appendix in order to provide an accessible account for non-experts. Topics covered include: models for multi-categorical responses, model checking, time series and longitudinal data, random effects models, and state-space models. Throughout, the authors have taken great pains to discuss the underlying theoretical ideas in ways that relate well to the data at hand. As a result, numerous researchers whose work relies on the use of these models will find this an invaluable account to have on their desks. "The basic aim of the authors is to bring together and review a large part of recent advances in statistical modelling of multivariate and multicategorical models within the generalized linear models framework. Based on well-chosen sets of data, these new developments are introduced to a not necessarily expert audience. Completeness was not an aim. The result is a self-contained, well-written text offering the applied researcher a useful insight into the applicability of the general linear model methodology." P.A.L. Embrechts, ETH-Zentrum, Zurich, Switzerland

Kalman Filtering: with Real-Time Applications
By Charles K. Chui, Guanrong Chen


Publisher: Springer
Number Of Pages: 229
Publication Date: 2009-01
ISBN-10 / ASIN: 3540878483
ISBN-13 / EAN: 9783540878483
Binding: Hardcover




Product Description:

"Kalman Filtering with Real-Time Applications" presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method consisting of a series of elementary steps, and an indirect method based on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals. The last two topics are new additions to this third edition. Most filtering algorithms are illustrated by using simplified radar tracking examples. The style of the book is informal, and the mathematics is elementary but rigorous. The text is self-contained, suitable for self-study, and accessible to all readers with a minimum knowledge.





File Type : RARED PDFs
File Size : 9360 KB

Biostatistics and Microbiology: A Survival Manual
By Daryl S. Paulson


Publisher: Springer
Number Of Pages: 216
Publication Date: 2008-09-30
ISBN-10 / ASIN: 0387772812
ISBN-13 / EAN: 9780387772813
Binding: Paperback




Product Description:



This “nuts and bolts” book provides a condensation of biostatistical methods that applied microbiology researchers need to perform data analyses. Based on the author’s more than two decades of applied research and teaching experience, it is presented in a straight-forward manner, applicable by practicing microbiologists with minimal backgrounds in mathematics. All methods rely only on the use of a basic hand-held calculator. The overriding goal of this book is to ground one’s microbiological expertise and experience in one’s research pursuits, using biostatistics not as a black box, but as a tool. The book begins with a broad discussion of the experimental process, leading to one-sample, two-sample, and multi-sample comparisons. Each regression analysis will be presented, as well as an example. Nonparametric methods will be discussed, as well as when they should be applied. Finally, special topics of statistics in microbiology (i.e., viral, plant, animal, human, food, industrial and microbial microbiology) will be presented.


2.99 MB rar pdf

Mechanizing Hypothesis Formation. Mathematical Foundations for a General Theory
by Peter Hajek, Tomas Havranek

RAR:2.23 Mb / PDF:2.67 Mb
OCR and 2-level bookmarks
password:bulldog

Foundations of Probability and Physics
By A.. Khrennikov


Publisher: World Scientific Publishing Company
Number Of Pages: 350
Publication Date: 2002-04-15
ISBN-10 / ASIN: 9810248466
ISBN-13 / EAN: 9789810248468
Binding: Hardcover




Product Description:

In this volume, leading experts in experimental as well as theoretical physics (both classical and quantum) and probability theory give their views on many intriguing (and still mysterious) problems regarding the probabilistic foundations of physics. The problems discussed during the conference include Einstein-Podolsky-Rosen paradox, Bell's inequality, realism, nonlocality, role of Kolmogorov model of probability theory in quantum physics, von Mises frequency theory, quantum information, computation, "quantum effects" in classical physics.

Statistics for Experimenters: Design, Innovation, and Discovery , 2nd Edition
By George E. P. Box, J. Stuart Hunter, William G. Hunter


Publisher: Wiley-Interscience
Number Of Pages: 664
Publication Date: 2005-06-14
ISBN-10 / ASIN: 0471718130
ISBN-13 / EAN: 9780471718130
Binding: Hardcover




Product Description:

A Classic adapted to modern times

Rewritten and updated, this new edition of Statistics for Experimenters adopts the same approaches as the landmark First Edition by teaching with examples, readily understood graphics, and the appropriate use of computers. Catalyzing innovation, problem solving, and discovery, the Second Edition provides experimenters with the scientific and statistical tools needed to maximize the knowledge gained from research data, illustrating how these tools may best be utilized during all stages of the investigative process. The authors’ practical approach starts with a problem that needs to be solved and then examines the appropriate statistical methods of design and analysis.

Providing even greater accessibility for its users, the Second Edition is thoroughly revised and updated to reflect the changes in techniques and technologies since the publication of the classic First Edition.

Among the new topics included are:
Graphical Analysis of Variance
Computer Analysis of Complex Designs
Simplification by transformation
Hands-on experimentation using Response Service Methods
Further development of robust product and process design using split plot arrangements and minimization of error transmission
Introduction to Process Control, Forecasting and Time Series
Illustrations demonstrating how multi-response problems can be solved using the concepts of active and inert factor spaces and canonical spaces
Bayesian approaches to model selection and sequential experimentation

An appendix featuring Quaquaversal quotes from a variety of sources including noted statisticians and scientists to famous philosophers is provided to illustrate key concepts and enliven the learning process.

All the computations in the Second Edition can be done utilizing the statistical language R. Functions for displaying ANOVA and lamba plots, Bayesian screening, and model building are all included and R packages are available online. All theses topics can also be applied utilizing easy-to-use commercial software packages.

Complete with applications covering the physical, engineering, biological, and social sciences, Statistics for Experimenters is designed for individuals who must use statistical approaches to conduct an experiment, but do not necessarily have formal training in statistics. Experimenters need only a basic understanding of mathematics to master all the statistical methods presented. This text is an essential reference for all researchers and is a highly recommended course book for undergraduate and graduate students.


40.57 MB rar'd pdf