Probability and Statistical Inference (8th Edition)


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An Introduction to Probability and Statistical Inference
25 May 2013

An Introduction to Probability and Statistical Inference
George G. Roussas, "An Introduction to Probability and Statistical Inference"
2003 | ISBN-10: 0125990200 | 523 pages | PDF | 3,2 MB

Probability models, statistical methods, and the information to be gained from them is vital for work in business, engineering, sciences (including social and behavioral), and other fields. Data must be properly collected, analyzed an
Abstract Inference (Probability & Mathematical Statistics)
30 September 2011

Abstract Inference (Probability & Mathematical Statistics)

Abstract Inference Probability & Mathematical Statistics

1981 | 538 | ISBN: 0471082678 | DJVU | 3 Mb

The title of this book is ambiguous, and intentionally so. On the one hand, Abstract Inference can refer to problems of statistical inference when the sample space is an abstract space. On the other, it can refer to the case when the parameter space is an abstract space. ...
Statistical Inference: A Short Course
28 June 2013


Statistical Inference: A Short Course

Statistical Inference: A Short Course
by Michael J. Panik
2012 | ISBN: 1118229401 | English | 400 Pages | PDF | 3.45 MB
Probability & Statistics Engineers 8th Edition
7 November 2010

Probability & Statistics Engineers 8th Edition


Probability & Statistics Engineers 8th Edition
English | 2009 | 285 pages | PDF | 56 MB

With its unique balance of theory and methodology, this classic text provides a rigorous introduction to basic probability theory and statistical inference, motivated by interesting, relevant applications. Offers extensively updated coverage, new problem sets, and chapter-ending material to enhance the book's relevance to today's engineers and scientists.
Statistical Inference Based on Divergence Measures
24 November 2010

Statistical Inference Based on Divergence Measures

Statistical Inference Based on Divergence Measures

2006 | 512 | ISBN: 1584886005 | PDF | 3 Mb

The idea of using functionals of Information Theory, such as entropies or divergences, in statistical inference is not new. However, in spite of the fact that divergence statistics have become a very good alternative to the classical likelihood ratio test and the Pearson-type statistic in discrete models, many statisticians remain unaware of this powerful approach....
GARCH Models: Structure, Statistical Inference and Financial Applications
20 January 2011

GARCH Models: Structure, Statistical Inference and Financial Applications

GARCH Models: Structure, Statistical Inference and Financial Applications by Christian Francq, Jean-Michel Zakoian

Publisher: WILEY | 2010 | ISBN 0470683910 | PDF | 504 pages | 12 MB

This book pres a complete coverage to GARCH modeling, including probability properties, identifying an appropriate model, estimation and testing, multivariate extensions including EGARCH, TGARCH and APGARCH, volatility features such as asymmetries and financial applications.
Introduction to Probability and Statistics 14th Edition
21 February 2013

Introduction to Probability and Statistics 14th Edition
Introduction to Probability and Statistics 14th Edition
English | ISBN: 1133103758 | edition 2012 | PDF | 744 pages | 45.6 MB

Used by hundreds of thousands of students, INTRODUCTION TO PROBABILITY AND STATISTICS, Fourteenth Edition, blends proven coverage with new innovations to ensure you gain a solid understanding of statistical concepts--and see their relevance to your everyday life. The new edition retains the text's straightforward presentation and traditional outline for descriptive and inferential statistics while incorporating modern technology--including computational software and interactive visual tools--to help you master statistical reasoning and skillfully interpret statistical results. Drawing from decades of classroom teaching experience, the authors clearly illustrate how to apply statistical procedures as they explain how to describe real sets of data, what statistical tests mean in terms of practical application, how to evaluate the validity of the assumptions behind statistical tests, and what to do when statistical assumptions have been violated. Statistics can be an intimidating course, but with this text you will be well prepared. With its thorough explanations, insightful examples, practical exercises, and innovative technology features, this text equips you with a firm foundation in statistical concepts, as well as the tools to apply them to the world around you.
Probability, Random Processes, and Statistical Analysis
12 March 2012

Probability, Random Processes, and Statistical Analysis

Probability, Random Processes, and Statistical Analysis
812 Pages | PDF | 3 MB

Together with the fundamentals of probability, random processes, and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities, bound and approximation, maximum-likelihood estimation and the expectation-maximization (EM) algorithm, geometric Brownian motion and It process.
Introduction to Probability and Statistics 14th Edition
21 February 2013

Introduction to Probability and Statistics 14th Edition

William Mendenhall, Robert J. Beaver, Barbara M. Beaver, "Introduction to Probability and Statistics 14th Edition"
English | ISBN: 1133103758 | edition 2012 | PDF | 744 pages | 45.6 MB

Used by hundreds of thousands of students, INTRODUCTION TO PROBABILITY AND STATISTICS, Fourteenth Edition, blends proven coverage with new innovations to ensure you gain a solid understanding of statistical concepts--and see their relevance to your everyday life. The new edition retains the text's straightforward presentation and traditional outline for descriptive and inferential statistics while incorporating modern technology--including computational software and interactive visual tools--to help you master statistical reasoning and skillfully interpret statistical results.
Inference Control in Statistical Databases: From Theory to Practice
17 November 2010

Inference Control in Statistical Databases: From Theory to Practice

Inference Control in Statistical Databases: From Theory to Practice

Springer 2002 | 231 | ISBN: 3540436146 | PDF | 2 Mb

DJVUInference control in statistical databases, also known as statistical disclosure limitation or statistical confidentiality, is about finding tradeoffs to the tension between the increasing societal need for accurate statistical data and the legal and ethical obligation to protect privacy of individuals and enterprises which are the source of data for producing statistics. Techniques used by intruders to make inferences compromising privacy increasingly draw on data mining, record linkage, knowledge discovery, and data analysis and thus statistical inference control becomes an integral part of computer science. This coherent state-of-the-art survey presents some of the most recent work in the field. The papers presented together with an introduction are organized in topical sections on tabular data protection, microdata protection, and software and user case studies. ...