free statistical books

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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.

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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

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mathtop4 كتب:

الاحصائي كتب:

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

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الاحصائي كتب:

Advances in Clinical Trial Biostatistics
by Nancy Geller

, (1.2 MB)

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Analyzing Quantitative Data: From Description to Explanation
By Norman Blaikie


Publisher: Sage Publications Ltd
Number Of Pages: 352
Publication Date: 2003-03-06
ISBN-10 / ASIN: 0761967591
ISBN-13 / EAN: 9780761967590
Binding: Paperback


Product Description:


What basic knowledge and skills do novice researchers in social science require? How can students be helped to over-come `symbol phobia' or `figure blindness'?

This generous and constantly insightful book is designed for social researchers who need to know what procedures to use under what circumstances, in practical research projects. It accomplishes this without requiring an in-depth understanding of statistical theory, but also avoids both trivializing procedures or resorting to `cookbook' techniques. Among the key features of the book are:

- Accessibility

- Organization of the wide, often bewildering array of methods of data analysis into a coherent and user-friendly scheme of classification: types of analysis and levels of measurement

- Demystification - the first chapter unpacks commonly taken-for-granted concepts such as `analysis', `data' and `quantitative'

- Location of methods in real research problems

The book is a triumphant introduction to the theory and practice of quantitative methods. It will quickly establish itself as essential reading for students doing social research throughout the social sciences.

`With this book Norman Blaikie retains his reputation as the leading rapporteur and raconteur of social research methodology. With many other introductory texts, data analysis becomes just an exercise unto itself, and students (sometimes) learn to go through the motions without really knowing why. After working with Blaikie's text, novice researchers will know why quantitative inquiry is important' - Ray Pawson, University of Leeds


1439 k pdfrar

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Analysis of Integrated and Co-integrated Time Series with R (Use R)
By Bernhard Pfaff


Publisher: Springer
Number Of Pages: 208
Publication Date: 2008-08-11
ISBN-10 / ASIN: 0387759662
ISBN-13 / EAN: 9780387759661
Binding: Paperback


Product Description:

merc i pour tous



The analysis of integrated and co-integrated time series can be considered as the main methodology employed in applied econometrics. This book not only introduces the reader to this topic but enables him to conduct the various unit root tests and co-integration methods on his own by utilizing the free statistical programming environment R. The book encompasses seasonal unit roots, fractional integration, coping with structural breaks, and multivariate time series models. The book is enriched by numerous programming examples to artificial and real data so that it is ideally suited as an accompanying text book to computer lab classes.

The second edition adds a discussion of vector auto-regressive, structural vector auto-regressive, and structural vector error-correction models. To analyze the interactions between the investigated variables, further impulse response function and forecast error variance decompositions are introduced as well as forecasting. The author explains how these model types relate to each other.


File Type : rared PDF File Size : 2641 KB

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mathtop4 كتب:

الاحصائي كتب:

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

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