Statistical Methods: The Geometric Approach (Springer Texts in Statistics) - Tapa dura

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This exposition of analysis of variance and regression uses diagrams and graphs to illustrate these aspects of statistics for students of any discipline who need some familiarity with the subject area. The approach is based on the geometric methods used by the founder of modern statistics, Sir Ronald Fisher. Using geometry, therefore, the text links the statistical methods of the underlying mathematics described, while real-life case studies link theory and practice. Each new situation is introduced by a detailed analysis of a case study, including assumption checking and result presentation. The computing aspect of the book is in Minitab and there are class exercises and numerous practical exercises. This undergraduate textbook is intended for students and researchers in the fields of statistics, mathematics, and biostatistics/agriculture.