Articles liés à Introduction To Linear Models And Statistical Inference
Synopsis
Book by Janke Steven J Tinsley Frederick
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
A multidisciplinary approach that emphasizes learning by analyzingreal–world data sets
This book is the result of the authors′ hands–on classroomexperience and is tailored to reflect how students best learn toanalyze linear relationships. The text begins with the introductionof four simple examples of actual data sets. These examples aredeveloped and analyzed throughout the text, and more complicatedexamples of data sets are introduced along the way. Taking amultidisciplinary approach, the book traces the conclusion of theanalyses of data sets taken from geology, biology, economics,psychology, education, sociology, and environmental science.
As students learn to analyze the data sets, they masterincreasingly sophisticated linear modeling techniques,including:
∗ Simple linear models
∗ Multivariate models
∗ Model building
∗ Analysis of variance (ANOVA)
∗ Analysis of covariance (ANCOVA)
∗ Logistic regression
∗ Total least squares
The basics of statistical analysis are developed and emphasized,particularly in testing the assumptions and drawing inferences fromlinear models. Exercises are included at the end of each chapter totest students′ skills before moving on to more advanced techniquesand models. These exercises are marked to indicate whethercalculus, linear algebra, or computer skills are needed.
Unlike other texts in the field, the mathematics underlying themodels is carefully explained and accessible to students who maynot have any background in calculus or linear algebra. Mostchapters include an optional final section on linear algebra forstudents interested in developing a deeper understanding.
The many data sets that appear in the text are available on thebook′s Web site. The MINITAB(r) software program is used toillustrate many of the examples. For students unfamiliar withMINITAB(r), an appendix introduces the key features needed to studylinear models.
With its multidisciplinary approach and use of real–world data setsthat bring the subject alive, this is an excellent introduction tolinear models for students in any of the natural or socialsciences.
Revue de presse
" a nice reference text for programs offering a major instatistics " ( Technometrics, November 2006)
" an excellent approach to linear models and statisticalinterference." (CHOICE, September 2006)
"...a very solid introduction to linear models." (MAAReviews, October 19, 2005)
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurWiley-Interscience
- Date d'édition2005
- ISBN 10 0471662593
- ISBN 13 9780471662594
- ReliureRelié
- Langueanglais
- Nombre de pages600
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Introduction to Linear Models and Statistical Inference
Edité par
Wiley-Interscience, New York, 2005
ISBN 10 : 0471662593
ISBN 13 : 9780471662594
Ancien ou d'occasion
Couverture rigide
Vendeur : Book Booth, Berea, OH, Etats-Unis
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Hardcover. Etat : Good. Lower right corner of pp. 120-180 has suffered moisture damage, else pages clean; binding tight; moderate wear to covers. 584 pages. "An excellent introduction to linear models for students in any of the natural or social sciences." Size: 6 1/2" x 9 1/2". N° de réf. du vendeur S141-055324
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Introduction to Linear Models and Statistical Inference
Edité par
Wiley-Interscience, 2005
ISBN 10 : 0471662593
ISBN 13 : 9780471662594
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Couverture rigide
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Introduction To Linear Models And Statistical Inference
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ISBN 13 : 9780471662594
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Introduction to Linear Models and Statistical Inference
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ISBN 13 : 9780471662594
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Introduction to Linear Models and Statistical Inference
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Introduction To Linear Models And Statistical Inference
Edité par
Wiley-Interscience, 2005
ISBN 10 : 0471662593
ISBN 13 : 9780471662594
Neuf
Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Introduction To Linear Models And Statistical Inference
Edité par
Wiley-Interscience, 2005
ISBN 10 : 0471662593
ISBN 13 : 9780471662594
Neuf
Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Introduction To Linear Models And Statistical Inference
Edité par
Wiley-Interscience, 2005
ISBN 10 : 0471662593
ISBN 13 : 9780471662594
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Introduction to Linear Models and Statistical Inference (Hardcover)
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John Wiley & Sons Inc, New York, 2005
ISBN 10 : 0471662593
ISBN 13 : 9780471662594
Neuf
Couverture rigide
Edition originale
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Hardcover. Etat : new. Hardcover. 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 * 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(r) software program is used to illustrate many of the examples. For students unfamiliar with MINITAB(r), 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780471662594
Quantité disponible : 1 disponible(s)