Janke; Tinsley Linear Models

ISBN 13: 9780471662594

Linear Models

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9780471662594: Linear Models

Book by Janke Steven J Tinsley Frederick

"Sinopsis" puede pertenecer a otra edición de este libro.

Críticas:

"...a nice reference text for programs offering a major in statistics..." (Technometrics, November 2006) "...an excellent approach to linear models and statistical interference." (CHOICE, September 2006) "...a very solid introduction to linear models." (MAA Reviews, October 19, 2005)

Reseña del editor:

This is a multidisciplinary approach that emphasizes learning by analyzing real-world data sets. This book is the result of the authors' hands-on classroom experience and is tailored to reflect how students best learn to analyze linear relationships. The text begins with the introduction of four simple examples of actual data sets. These examples are developed and analyzed throughout the text, and more complicated examples of data sets are introduced along the way. Taking a multidisciplinary approach, the book traces the conclusion of the analyses of data sets taken from geology, biology, economics, psychology, education, sociology, and environmental science. As students learn to analyze the data sets, they master increasingly sophisticated linear modeling techniques, including: Simple linear models; Multivariate models; Model building; Analysis of variance (ANOVA); Analysis of covariance (ANCOVA); Logistic regression; and, total least squares. The basics of statistical analysis are developed and emphasized, particularly in testing the assumptions and drawing inferences from linear models. Exercises are included at the end of each chapter to test students' skills before moving on to more advanced techniques and models. These exercises are marked to indicate whether calculus, linear algebra, or computer skills are needed. Unlike other texts in the field, the mathematics underlying the models is carefully explained and accessible to students who may not have any background in calculus or linear algebra. Most chapters include an optional final section on linear algebra for students interested in developing a deeper understanding. The many data sets that appear in the text are available on the book's Web site. The MINITAB[registered] software program is used to illustrate many of the examples. For students unfamiliar with MINITAB[registered], an appendix introduces the key features needed to study linear models. With its multidisciplinary approach and use of real-world data sets that bring the subject alive, this is an excellent introduction to linear models for students in any of the natural or social sciences.

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Janke, Steven J.;Tinsley, Frederick;Tinsley, Frederick C.
Editorial: Hoboken, New Jersey, U.S.A.: Wiley-Interscience (2005)
ISBN 10: 0471662593 ISBN 13: 9780471662594
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Janke, Steven J.; Tinsley, Frederick
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Descripción Wiley-Interscience. Hardcover. Estado de conservación: New. 0471662593 New Condition. Nº de ref. de la librería NEW6.0250300

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Steven J. Janke, Frederick Tinsley
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Descripción Wiley-Interscience, 2005. Hardcover. Estado de conservación: New. 1. Nº de ref. de la librería DADAX0471662593

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Steven J. Janke, Frederick Tinsley
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Descripción John Wiley and Sons Ltd, United States, 2005. Hardback. Estado de conservación: New. 1. Auflage. 236 x 152 mm. Language: English . Brand New Book. This is a multidisciplinary approach that emphasizes learning by analyzing real-world data sets. This book is the result of the authors hands-on classroom experience and is tailored to reflect how students best learn to analyze linear relationships. The text begins with the introduction of four simple examples of actual data sets. These examples are developed and analyzed throughout the text, and more complicated examples of data sets are introduced along the way. Taking a multidisciplinary approach, the book traces the conclusion of the analyses of data sets taken from geology, biology, economics, psychology, education, sociology, and environmental science. As students learn to analyze the data sets, they master increasingly sophisticated linear modeling techniques, including: Simple linear models; Multivariate models; Model building; Analysis of variance (ANOVA); Analysis of covariance (ANCOVA); Logistic regression; and, total least squares. The basics of statistical analysis are developed and emphasized, particularly in testing the assumptions and drawing inferences from linear models. Exercises are included at the end of each chapter to test students skills before moving on to more advanced techniques and models. These exercises are marked to indicate whether calculus, linear algebra, or computer skills are needed. Unlike other texts in the field, the mathematics underlying the models is carefully explained and accessible to students who may not have any background in calculus or linear algebra. Most chapters include an optional final section on linear algebra for students interested in developing a deeper understanding. The many data sets that appear in the text are available on the book s Web site. The MINITAB[registered] software program is used to illustrate many of the examples. For students unfamiliar with MINITAB[registered], an appendix introduces the key features needed to study linear models. With its multidisciplinary approach and use of real-world data sets that bring the subject alive, this is an excellent introduction to linear models for students in any of the natural or social sciences. Nº de ref. de la librería AAH9780471662594

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Steven J. Janke, Frederick Tinsley
Editorial: John Wiley and Sons Ltd, United States (2005)
ISBN 10: 0471662593 ISBN 13: 9780471662594
Nuevos Tapa dura Primera edición Cantidad: 1
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The Book Depository US
(London, Reino Unido)
Valoración
[?]

Descripción John Wiley and Sons Ltd, United States, 2005. Hardback. Estado de conservación: New. 1. Auflage. 236 x 152 mm. Language: English . Brand New Book. This is a multidisciplinary approach that emphasizes learning by analyzing real-world data sets. This book is the result of the authors hands-on classroom experience and is tailored to reflect how students best learn to analyze linear relationships. The text begins with the introduction of four simple examples of actual data sets. These examples are developed and analyzed throughout the text, and more complicated examples of data sets are introduced along the way. Taking a multidisciplinary approach, the book traces the conclusion of the analyses of data sets taken from geology, biology, economics, psychology, education, sociology, and environmental science. As students learn to analyze the data sets, they master increasingly sophisticated linear modeling techniques, including: Simple linear models; Multivariate models; Model building; Analysis of variance (ANOVA); Analysis of covariance (ANCOVA); Logistic regression; and, total least squares. The basics of statistical analysis are developed and emphasized, particularly in testing the assumptions and drawing inferences from linear models. Exercises are included at the end of each chapter to test students skills before moving on to more advanced techniques and models. These exercises are marked to indicate whether calculus, linear algebra, or computer skills are needed. Unlike other texts in the field, the mathematics underlying the models is carefully explained and accessible to students who may not have any background in calculus or linear algebra. Most chapters include an optional final section on linear algebra for students interested in developing a deeper understanding. The many data sets that appear in the text are available on the book s Web site. The MINITAB[registered] software program is used to illustrate many of the examples. For students unfamiliar with MINITAB[registered], an appendix introduces the key features needed to study linear models. With its multidisciplinary approach and use of real-world data sets that bring the subject alive, this is an excellent introduction to linear models for students in any of the natural or social sciences. Nº de ref. de la librería AAH9780471662594

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Janke, Steven J.; Tinsley, Frederick
Editorial: Wiley-Interscience (2005)
ISBN 10: 0471662593 ISBN 13: 9780471662594
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Descripción Wiley-Interscience, 2005. Hardcover. Estado de conservación: New. book. Nº de ref. de la librería 0471662593

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Descripción Wileyand#8211;Blackwell, 2005. HRD. Estado de conservación: New. New Book. Delivered from our US warehouse in 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND.Established seller since 2000. Nº de ref. de la librería IP-9780471662594

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