Statistical Methods: Connections, Equivalencies, and Relationships - Janis E. Johnston

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Résumé :
The primary purpose of this book is to introduce the reader to a wide variety of interesting and useful connections, relationships, and equivalencies between and among conventional and permutation statistical methods. There are approximately 320 statistical connections and relationships described in this book. For each connection or connections the tests are described, the connection is explained, and an example analysis illustrates both the tests and the connection(s). The emphasis is more on demonstrations than on proofs, so little mathematical expertise is assumed. While the book is intended as a stand-alone monograph, it can also be used as a supplement to a standard textbook such as might be used in a second- or third-term course in conventional statistical methods. Students, faculty, and researchers in the social, natural, or hard sciences will find an interesting collection of statistical connections and relationships - some well-known, some more obscure, and some presentedhere for the first time....

Biographie:
Kenneth J. Berry is Professor Emeritus in the Department of Sociology at Colorado State University. He is the author of eight books and over 190 journal articles, primarily in the areas of statistics and quantitative research methods. Janis E. Johnston is employed by the U.S. Government and is an Affiliate Faculty member in the Department of Sociology at Colorado State University. She is the author of six books and over 40 journal articles, primarily in the areas of statistics and quantitative research methods....

Sommaire:
The primary purpose of this book is to introduce the reader to a wide variety of interesting and useful connections, relationships, and equivalencies between and among conventional and permutation statistical methods. There are approximately 320 statistical connections and relationships described in this book. For each connection or connections the tests are described, the connection is explained, and an example analysis illustrates both the tests and the connection(s). The emphasis is more on demonstrations than on proofs, so little mathematical expertise is assumed. While the book is intended as a stand-alone monograph, it can also be used as a supplement to a standard textbook such as might be used in a second- or third-term course in conventional statistical methods. Students, faculty, and researchers in the social, natural, or hard sciences will find an interesting collection of statistical connections and relationships - some well-known, some more obscure, and some presentedhere for the first time....