Statisticians rely heavily on making models of "causal situations" in order to explain and predict fully what is happening. This volume provides a single reference to the subject with an applied slant. It focuses on such core issues as regression, analysis of variance, and generalized linear models. Only the most essential mathematical justifications are given in detail.
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Statisticians rely heavily on making models of 'causal situations' in order to fully explain and predict events. Modelling therefore plays a vital part in all applications of statistics and is a component of most undergraduate programmes. 'An Introduction to Statistical Modelling' provides a single reference with an applied slant that caters for all three years of a degree course. The book concentrates on core issues and only the most essential mathematical justifications are given in detail. Attention is firmly focused on the statistical aspects of the techniques, in this lively, practical approach.
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Paperback. Zustand: Very Good. An Introduction to Statistical Modelling (Arnold Texts in Statistics) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. Artikel-Nr. 7719-9780340691854
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