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Fundamentals of Modern Statistical Methods Substantially Improving Power and Accuracy at Meripustak

Fundamentals of Modern Statistical Methods Substantially Improving Power and Accuracy by Rand R. Wilcox , Springer

Books from same Author: Rand R. Wilcox

Books from same Publisher: Springer

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  • General Information  
    Author(s)Rand R. Wilcox
    PublisherSpringer
    ISBN9781489984708
    Pages249
    BindingPaperback
    LanguageEnglish
    Publish YearSeptember 2014

    Description

    Springer Fundamentals of Modern Statistical Methods Substantially Improving Power and Accuracy by Rand R. Wilcox

    Conventional statistical methods have a very serious flaw. They routinely miss differences among groups or associations among variables that are detected by more modern techniques, even under very small departures from normality. Hundreds of journal articles have described the reasons standard techniques can be unsatisfactory, but simple, intuitive explanations are generally unavailable. Situations arise where even highly nonsignificant results become significant when analyzed with more modern methods._x000D__x000D__x000D_Without assuming the reader has any prior training in statistics, Part I of this book describes basic statistical principles from a point of view that makes their shortcomings intuitive and easy to understand. The emphasis is on verbal and graphical descriptions of concepts. Part II describes modern methods that address the problems covered in Part I. Using data from actual studies, many examples are included to illustrate the practical problems with conventional procedures and how more modern methods can make a substantial difference in the conclusions reached in many areas of statistical research._x000D__x000D__x000D_The second edition of this book includes a number of advances and insights that have occurred since the first edition appeared. Included are new results relevant to medians, regression, measures of association, strategies for comparing dependent groups, methods for dealing with heteroscedasticity, and measures of effect size._x000D_ Table of contents :- _x000D_ Part One: Genesis of a Science*Derivation Curve*What Am I Holding*Least Squares*Quantifying Accuracy*Solving Bernoulli's Problem*Promoting Normality*Part II Exploiting Normality*Dealing with Small Samples Sizes*Correlation*Part Three: Dealing with Nonnormality*Revolution with a Whimper*Robust Methods*Bootstrap *Conclusion_x000D_



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