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Language: English
Published by Chapman and Hall/CRC, 2011
ISBN 10: 1584889470 ISBN 13: 9781584889472
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Language: English
Published by Chapman and Hall/CRC, 2009
ISBN 10: 1584889470 ISBN 13: 9781584889472
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Language: English
Published by Chapman and Hall/CRC, 2011
ISBN 10: 1584889470 ISBN 13: 9781584889472
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Language: English
Published by Chapman and Hall/CRC, 2011
ISBN 10: 1584889470 ISBN 13: 9781584889472
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Language: English
Published by Chapman and Hall/CRC, 2011
ISBN 10: 1584889470 ISBN 13: 9781584889472
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
Language: English
Published by Chapman and Hall/CRC, 2009
ISBN 10: 1584889470 ISBN 13: 9781584889472
Seller: Textbooks_Source, Columbia, MO, U.S.A.
First Edition
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Language: English
Published by Chapman and Hall/CRC 2009-06-11, 2009
ISBN 10: 1584889470 ISBN 13: 9781584889472
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Language: English
Published by Chapman and Hall/CRC, 2011
ISBN 10: 1584889470 ISBN 13: 9781584889472
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Language: English
Published by Chapman and Hall/CRC, 2011
ISBN 10: 1584889470 ISBN 13: 9781584889472
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Language: English
Published by Chapman and Hall/CRC, 2011
ISBN 10: 1584889470 ISBN 13: 9781584889472
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Language: English
Published by Chapman and Hall/CRC, 2011
ISBN 10: 1584889470 ISBN 13: 9781584889472
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Language: English
Published by Chapman and Hall/CRC, 2011
ISBN 10: 1584889470 ISBN 13: 9781584889472
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Language: English
Published by Chapman and Hall/CRC, 2011
ISBN 10: 1584889470 ISBN 13: 9781584889472
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Language: English
Published by Taylor & Francis Inc, 2011
ISBN 10: 1584889470 ISBN 13: 9781584889472
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Language: English
Published by Taylor & Francis Group, 2011
ISBN 10: 1584889470 ISBN 13: 9781584889472
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Condition: New. pp. 496.
Language: English
Published by Chapman and Hall/CRC, 2011
ISBN 10: 1584889470 ISBN 13: 9781584889472
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Language: English
Published by Taylor & Francis Group, 2011
ISBN 10: 1584889470 ISBN 13: 9781584889472
Seller: Biblios, Frankfurt am main, HESSE, Germany
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Language: English
Published by Chapman and Hall/CRC, 2011
ISBN 10: 1584889470 ISBN 13: 9781584889472
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Add to basketHardcover. Condition: Brand New. 1st edition. 496 pages. 9.61x6.89x1.22 inches. In Stock.
Language: English
Published by Taylor & Francis Inc, Bosa Roca, 2009
ISBN 10: 1584889470 ISBN 13: 9781584889472
Seller: AussieBookSeller, Truganina, VIC, Australia
First Edition
Hardcover. Condition: new. Hardcover. Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition of the methods of statistical inference for students who are comfortable with mathematical notation. Numerous examples, case studies, and exercises are included. R is used to simplify computation, create figures, and draw pseudorandom samples--not to perform entire analyses. After discussing the importance of chance in experimentation, the text develops basic tools of probability. The plug-in principle then provides a transition from populations to samples, motivating a variety of summary statistics and diagnostic techniques. The heart of the text is a careful exposition of point estimation, hypothesis testing, and confidence intervals. The author then explains procedures for 1- and 2-sample location problems, analysis of variance, goodness-of-fit, and correlation and regression. He concludes by discussing the role of simulation in modern statistical inference. Focusing on the assumptions that underlie popular statistical methods, this textbook explains how and why these methods are used to analyze experimental data. Explains how statistical methods are used for data analysis and uses the elementary functions of R to perform the individual steps of statistical procedures. This title introduces basic concepts of inference through a study of several important procedures, including parametric and nonparametric methods, analysis of variance, and regression. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Language: English
Published by Taylor & Francis Inc, Bosa Roca, 2009
ISBN 10: 1584889470 ISBN 13: 9781584889472
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First Edition Print on Demand
Hardcover. Condition: new. Hardcover. Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition of the methods of statistical inference for students who are comfortable with mathematical notation. Numerous examples, case studies, and exercises are included. R is used to simplify computation, create figures, and draw pseudorandom samples--not to perform entire analyses. After discussing the importance of chance in experimentation, the text develops basic tools of probability. The plug-in principle then provides a transition from populations to samples, motivating a variety of summary statistics and diagnostic techniques. The heart of the text is a careful exposition of point estimation, hypothesis testing, and confidence intervals. The author then explains procedures for 1- and 2-sample location problems, analysis of variance, goodness-of-fit, and correlation and regression. He concludes by discussing the role of simulation in modern statistical inference. Focusing on the assumptions that underlie popular statistical methods, this textbook explains how and why these methods are used to analyze experimental data. Explains how statistical methods are used for data analysis and uses the elementary functions of R to perform the individual steps of statistical procedures. This title introduces basic concepts of inference through a study of several important procedures, including parametric and nonparametric methods, analysis of variance, and regression. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Taylor & Francis Group, 2011
ISBN 10: 1584889470 ISBN 13: 9781584889472
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Language: English
Published by Taylor & Francis Inc, Bosa Roca, 2009
ISBN 10: 1584889470 ISBN 13: 9781584889472
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First Edition Print on Demand
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Add to basketHardcover. Condition: new. Hardcover. Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition of the methods of statistical inference for students who are comfortable with mathematical notation. Numerous examples, case studies, and exercises are included. R is used to simplify computation, create figures, and draw pseudorandom samples--not to perform entire analyses. After discussing the importance of chance in experimentation, the text develops basic tools of probability. The plug-in principle then provides a transition from populations to samples, motivating a variety of summary statistics and diagnostic techniques. The heart of the text is a careful exposition of point estimation, hypothesis testing, and confidence intervals. The author then explains procedures for 1- and 2-sample location problems, analysis of variance, goodness-of-fit, and correlation and regression. He concludes by discussing the role of simulation in modern statistical inference. Focusing on the assumptions that underlie popular statistical methods, this textbook explains how and why these methods are used to analyze experimental data. Explains how statistical methods are used for data analysis and uses the elementary functions of R to perform the individual steps of statistical procedures. This title introduces basic concepts of inference through a study of several important procedures, including parametric and nonparametric methods, analysis of variance, and regression. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Taylor & Francis Inc, 2011
ISBN 10: 1584889470 ISBN 13: 9781584889472
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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