Nonparametric statistics a step by step approach

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nonparametric statistics a step by step approach

Gregory W. Corder (Author of Nonparametric Statistics for Non-Statisticians)

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Published 18.05.2019

A Gentle Introduction to Non-Parametric Statistics (15-1)

Nonparametric Statistics Step by Step Approach by Dale Foreman Gregory Corder

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The information below has been drawn from sources outside of the University of Wisconsin-Madison Libraries. In most instances, the information will be from sources that have not been peer reviewed by scholarly or research communities. Please report cases in which the information is inaccurate through the Contact Us link below. Nonparametric statistics : a step-by-step approach Corder, Gregory W. Subjects A limited number of items are shown. Click to view More Nonparametric statistics.

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Close menu. The book continues to follow the same format in all chapters to aid in reader comprehension, and each chapter begins with a general introduction and a list of the chapter's main learning objectives. A nonparametric procedure is then presented and is followed by context-based examples in a step-by-step fashion. Next, updated SPSS r screen captures are used to demonstrate how to perform and how to identify the steps in the various procedures. Finally, the authors identify and briefly describe actual examples of corresponding nonparametric tests from diverse fields.

As the importance of nonparametric methods in modern statistics continues to grow, these techniques are being increasingly applied to experimental designs across various fields of study. However, researchers are not always properly equipped with the knowledge to correctly apply these methods. Nonparametric Statistics for Non-Statisticians: A Step-by-Step Approach fills a void in the current literature by addressing nonparametric statistics in a manner that is easily accessible for readers with a background in the social, behavioral, biological, and physical sciences. Each chapter follows the same comprehensive format, beginning with a general introduction to the particular topic and a list of main learning objectives. A nonparametric procedure is then presented and accompanied by context-based examples that are outlined in a step-by-step fashion. Finally, the authors identify and briefly describe actual examples of corresponding nonparametric tests from diverse fields. Using this organized structure, the book outlines essential skills for the application of nonparametric statistical methods, including how to:.

2 thoughts on “Gregory W. Corder (Author of Nonparametric Statistics for Non-Statisticians)

  1. a very useful resource for courses in nonparametric statistics in which the emphasis is on applications rather than on theory. It also deserves a place in libraries.

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