Tinsley frederick (6 Ergebnisse)
Verlag: Street & Smith, 1944
- Softcover
Anbieter: Books From California, Simi Valley, CA, USABooks From California
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Single Issue Magazine. Zustand: Good. original pulp digest. wraps show moderate wear, tear, chipping. pages tanned and clean.
- Hardcover
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes KönigreichPBShop.store UK
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EUR 164,32
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HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 162,73
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Zustand: New. In.
- Hardcover
Anbieter: Majestic Books, Hounslow, Vereinigtes KönigreichMajestic Books
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EUR 202,45
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Zustand: New. pp. xi + 584 Illus.
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 239,14
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Hardcover. Zustand: Brand New. 1st edition. 600 pages. 9.25x6.25x1.25 inches. In Stock.
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 220,07
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Buch. Zustand: Neu. Neuware - A multidisciplinary approach that emphasizes learning by analyzing real-world data setsThis 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 exampl…es 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 squaresThe 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.
