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 ...
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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.
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Add this copy of Introduction to Linear Models and Statistical Inference to cart. $42.00, good condition, Sold by Row by Row Bookshop rated 5.0 out of 5 stars, ships from Sugar Grove, NC, UNITED STATES, published 2005 by Wiley-Interscience.
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Good. No Dust Jacket. An ex-library copy in original laminated pictorial hard covers. The usual ex-libris markings. The binding is sound, the text is clean/unmarked, and there is little cover wear. No dust jacket, apparently as issued.
Add this copy of Introduction to Linear Models and Statistical Inference to cart. $49.00, good condition, Sold by bookbooth rated 5.0 out of 5 stars, ships from Berea, OH, UNITED STATES, published 2005 by Wiley-Interscience.
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Good. Issued without a dust jacket. 6 1/2" x 9 1/2" 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."
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Very Good. No Jacket. Very good clean tight condition-light bump to bottom corner. Inscribed by author to previous owner. Text free of marks. Professional book dealer with storefront since 1999. All orders are processed promptly and carefully packaged.
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New. 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. Num Pages: 600 pages, Illustrations. BIC Classification: PB. Category: (P) Professional & Vocational. Dimension: 244 x 162 x 32. Weight in Grams: 932. 2005. 1st Edition. Hardcover.....We ship daily from our Bookshop.
Add this copy of Introduction to Linear Models and Statistical Inference to cart. $256.95, new condition, Sold by textsforsale rated 4.0 out of 5 stars, ships from Houston, TX, UNITED STATES, published 2005 by Wiley-Interscience.
