Introduction to Robust Estimation and Hypothesis Testing, 3rd Edition, (PDF) emphasizes the sensible functions of contemporary, sturdy strategies that may drastically enhance our probabilities of detecting true variations amongst teams and true associations amongst variables. This revised ebook presents an intensive clarification of the muse of strong strategies, together with the newest updates on R and S-Plus, sturdy ANOVA (Analysis of Variance), and regression. It leads superior college students and different professionals by way of the basic methods used for creating sensible solutions to issues. It offers a concise background on the foundations of contemporary strategies, placing the brand new strategies in a historic context. Author Rand Wilcox consists of chapter workout routines and a number of actual-world examples that present how varied strategies carry out in several conditions.
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“…Wilcox has drastically enhanced this ebook, which is now nearly twice as massive as the primary version. This would now look to be a very good ebook for everybody to have of their library.” — Technometrics, 2005 “This textbook emphasizes utilized points of main fashionable and sturdy statistical strategies. Early chapters describe the goals and mathematical foundations of contemporary strategies. The coronary heart of the ebook describes strategies for addressing normal issues in ANOVA and regression, with a minimal of technical particulars, and judges their benefits utilizing a number of standards, giving recommendation on which of them to use for varied conditions. Chapter workout routines are included. The ebook assumes a previous introductory statistics course and background on fundamentals of ANOVA, speculation testing, and regression. For the third version, S-PLUS capabilities are now not backed. Rather, R capabilities are provided.” — Reference and Research Book News, Inc. NOTE: The product only consists of the ebook, Introduction to Robust Estimation and Hypothesis Testing, 3rd Edition in PDF. No access codes are included.
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