Titlebook: Statistical Analysis and Data Display; An Intermediate Cour Richard M. Heiberger,Burt Holland Textbook 2015Latest edition Springer Science+

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Nonparametrics,en the Normal distribution. When such assumptions are unjustified, the consequences of the procedure are dubious at best. In situations where distributional assumptions cannot be justified, even after a well-chosen data transformation, the analyst should consider another approach.

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Multiple Comparisons,= 0. 143 ≈ 3.. In general, the more simultaneous inferences we make at one time, the smaller the probability that all are correct. In this chapter we learn how to control the probability that all inferences are simultaneously correct. We usually phrase the goal as controlling the probability of making at least one incorrect inference.

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,Design of Experiments—Factorial Designs,s, meaning those involving more than two factors, can be assumed to be negligible, it is often possible to design experiments that require observations on only a fraction of all possible treatment combinations.

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Textbook 2015Latest edition. The authors demonstrate how to analyze data—showing code, graphics, and accompanying tabular listings—for all the methods they cover. Complete R scripts for all examples and figures are provided for readers to use as models for their own analyses..This book can serve as a standalone text for stati

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1431-875X he HH package available from CRAN and all datasets used in t.This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data—showing code, graphics, and accompanying tab

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One-Way Analysis of Variance,s of wheat. Here, the factor is ., and the levels of . are . through .. This chapter discusses investigations having a single factor. Experiments having two factors are discussed in Chapter 12, while situations with two or more factors are discussed in Chapters 13 and 14

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Richard M. Heiberger,Burt Hollandd widespread use in industry. Similarly there has been a continued interest from academia in devising new ways of approaching the PID tuning problem. .. To the industrial engineer and many control academics this work has previously appeared fragmented; but a key determinant of this literature is the