The Nature Of Statistics

Author : Vladimir Vapnik
Publisher : Springer Science & Business Media
ISBN 13 : 1475732643
Total Pages : 324 pages
Book Rating : 4.41/5 ( download)

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Download or read book The Nature of Statistical Learning Theory written by Vladimir Vapnik and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists.

Author : W. Allen Wallis
Publisher : Courier Corporation
ISBN 13 : 0486779696
Total Pages : 225 pages
Book Rating : 4.90/5 ( download)

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Download or read book The Nature of Statistics written by W. Allen Wallis and published by Courier Corporation. This book was released on 2014-07-16 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classic text focuses on everyday applications as well as those of scientific research. Minimal mathematical background necessary. Includes lively examples from business, government, and other fields. "Fascinating." — The New York Times. 1962 edition.

Author : T.W. Anderson
Publisher : Springer Science & Business Media
ISBN 13 : 146124000X
Total Pages : 717 pages
Book Rating : 4.06/5 ( download)

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Download or read book The New Statistical Analysis of Data written by T.W. Anderson and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 717 pages. Available in PDF, EPUB and Kindle. Book excerpt: A non-calculus based introduction for students studying statistics, business, engineering, health sciences, social sciences, and education. It presents a thorough coverage of statistical techniques and includes numerous examples largely drawn from actual research studies. Little mathematical background is required and explanations of important concepts are based on providing intuition using illustrative figures and numerical examples. The first part shows how statistical methods are used in diverse fields in answering important questions, while part two covers descriptive statistics and considers the organisation and summarisation of data. Parts three to five cover probability, statistical inference, and more advanced statistical techniques.

Author : W. Allen Wallis
Publisher : Courier Corporation
ISBN 13 : 0486794016
Total Pages : 224 pages
Book Rating : 4.13/5 ( download)

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Download or read book The Nature of Statistics written by W. Allen Wallis and published by Courier Corporation. This book was released on 2014-04-15 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classic text focuses on everyday applications as well as those of scientific research. Minimal mathematical background necessary. Includes lively examples from business, government, and other fields. "Fascinating." — The New York Times. 1962 edition.

Author : Bill Thompson
Publisher : Springer Science & Business Media
ISBN 13 : 0387400540
Total Pages : 155 pages
Book Rating : 4.49/5 ( download)

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Download or read book The Nature of Statistical Evidence written by Bill Thompson and published by Springer Science & Business Media. This book was released on 2007-12-21 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to discuss whether statistical methods make sense. The present volume begins the task of providing interpretations and explanations of several theories of statistical evidence. It should be relevant to anyone interested in the logic of experimental science. Have we achieved a true Foundation of Statistics? We have made the link with one widely accepted view of science and we have explained the senses in which Bayesian statistics and p-values allow us to draw conclusions. This book has substantial implications for all users of Statistical methods.

Author : Mark L. Taper
Publisher :
ISBN 13 :
Total Pages : 600 pages
Book Rating : 4.37/5 ( download)

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Download or read book The Nature of Scientific Evidence written by Mark L. Taper and published by . This book was released on 2004-10 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mark Taper, Subhash Lele and an esteemed group of contributors explore the relationships among hypotheses, models, data and interference on which scientific progress rests in an attempt to develop a new quantitative framework for evidence.

Author : Rudolf J. Freund
Publisher : Elsevier
ISBN 13 : 0080498221
Total Pages : 694 pages
Book Rating : 4.25/5 ( download)

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Download or read book Statistical Methods written by Rudolf J. Freund and published by Elsevier. This book was released on 2003-01-07 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection. * Provides a complete discussion of analysis of data including estimation, diagnostics, and remedial actions * Examples contain graphical illustration for ease of interpretation * Intended for use with almost any statistical software * Examples are worked to a logical conclusion, including interpretation of results * A complete Instructor's Manual is available to adopters

Author : Jerzy Neyman
Publisher :
ISBN 13 :
Total Pages : 196 pages
Book Rating : 4.06/5 ( download)

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Download or read book Lectures and Conferences on Mathematical Statistics written by Jerzy Neyman and published by . This book was released on 1938 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Michael H. Herzog
Publisher : Springer
ISBN 13 : 3030034992
Total Pages : 146 pages
Book Rating : 4.93/5 ( download)

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Download or read book Understanding Statistics and Experimental Design written by Michael H. Herzog and published by Springer. This book was released on 2019-08-13 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.

Author : Larry Wasserman
Publisher : Springer Science & Business Media
ISBN 13 : 0387217363
Total Pages : 446 pages
Book Rating : 4.69/5 ( download)

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Download or read book All of Statistics written by Larry Wasserman and published by Springer Science & Business Media. This book was released on 2013-12-11 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.