A step-by-step manual on the application of permutation tests in biology, business, medicine, science, and engineering. Its intuitive and informal style make it ideal for students and researchers, whether experienced or coming to these resampling methods for the first time. The real-world problems of missing and censored data, multiple comparisons, nonresponders, after-the-fact covariates, and outliers are all dealt with at length. This new edition has more than 100 additional pages, and includes streamlined statistics for the k-sample comparison and analysis of variance plus expanded sections on computational techniques, multiple comparisons, multiple regression, comparing variances, and testing interactions in balanced designs. The comprehensive author and subject indexes, plus an expert-system guide to methods, provide for further ease of use, while the exercises at the end of every chapter have been supplemented with drills and a number of graduate-level thesis problems.Evaluation by Monte Carlo tests of effects of cloud seeding on growing season rainfall in North Dakota. J. Appl. ... Diaconis P. Statistical problems in ESP research. Science ... JASA. 1991; 86: 618a625. Dodge Y. ed. Statistical Data Analysis Based on the L1 Norm and Related Methods. Amsterdam: North Holland; 1987.
|Publisher||:||Springer Science & Business Media - 2013-04-17|