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Illustrating the relevance of linear approximation in a variety of fields, Numerical Linear Approximation in C presents a unique collection of linear approximation algorithms that can be used to analyze, model, and compress discrete data. Developed by the lead author, the algorithms have been successfully applied to several engineering projects at the National Research Council of Canada.

Basing most of the algorithms on linear programming techniques, the book begins with an introductory section that covers applications, the simplex method, and matrices. The next three parts focus on...

Advanced Statistics for Kinesiology and Exercise Science is the first textbook to cover advanced statistical methods in the context of the study of human performance. Divided into two distinct sections, the book introduces and explores in depth both analysis of variance (ANOVA) and regressions analyses, including chapters on:

• preparing data for analysis
• one-way, factorial and repeated-measures ANOVA
• analysis of covariance and multiple analyses of variance and covariance
• diagnostic tests
...