Da: Buchpark, Trebbin, Germania
Condizione: Gut. Zustand: Gut | Seiten: 496 | Sprache: Englisch | Produktart: Bücher.
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Da: Books Puddle, New York, NY, U.S.A.
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 496 pages. 9.19x6.13x1.22 inches. In Stock.
Da: Textbooks_Source, Columbia, MO, U.S.A.
Prima edizione
EUR 48,88
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Editore: Chapman and Hall/CRC 2009-06-11, 2009
ISBN 10: 1584889470 ISBN 13: 9781584889472
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 90,31
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Da: Toscana Books, AUSTIN, TX, U.S.A.
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Da: HPB-Red, Dallas, TX, U.S.A.
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 113,21
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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EUR 113,20
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Da: California Books, Miami, FL, U.S.A.
EUR 125,85
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 116,88
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Da: BennettBooksLtd, San Diego, NV, U.S.A.
EUR 95,26
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Editore: Taylor & Francis Inc, Bosa Roca, 2009
ISBN 10: 1584889470 ISBN 13: 9781584889472
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
Prima edizione
EUR 101,50
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Aggiungi al carrelloHardcover. Condizione: 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.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 124,25
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 119,98
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Da: Books Puddle, New York, NY, U.S.A.
EUR 132,76
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Aggiungi al carrelloCondizione: New. pp. 496.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 144,63
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Aggiungi al carrelloCondizione: New. 2009. 0th Edition. Hardcover. 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. Series: Chapman & Hall/CRC Texts in Statistical Science. Num Pages: 496 pages, 72 black & white illustrations, 30 black & white tables. BIC Classification: PBT. Category: (UU) Undergraduate. Dimension: 238 x 156 x 29. Weight in Grams: 884. . . . . .
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 139,53
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Aggiungi al carrelloCondizione: New. pp. 496.
Editore: Taylor & Francis Inc, Bosa Roca, 2009
ISBN 10: 1584889470 ISBN 13: 9781584889472
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
Prima edizione
EUR 136,17
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Aggiungi al carrelloHardcover. Condizione: 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 UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 112,25
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Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 179,15
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Aggiungi al carrelloCondizione: New. 2009. 0th Edition. Hardcover. 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. Series: Chapman & Hall/CRC Texts in Statistical Science. Num Pages: 496 pages, 72 black & white illustrations, 30 black & white tables. BIC Classification: PBT. Category: (UU) Undergraduate. Dimension: 238 x 156 x 29. Weight in Grams: 884. . . . . . Books ship from the US and Ireland.
Da: Revaluation Books, Exeter, Regno Unito
EUR 170,26
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 496 pages. 9.61x6.89x1.22 inches. In Stock.
Editore: Taylor & Francis Inc, Bosa Roca, 2009
ISBN 10: 1584889470 ISBN 13: 9781584889472
Lingua: Inglese
Da: Grand Eagle Retail, Mason, OH, U.S.A.
Prima edizione
EUR 129,37
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Aggiungi al carrelloHardcover. Condizione: 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 multiple locations in the US or from the UK, depending on stock availability.