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Author:   Yoshinori Tanada (University of California, Berkeley, U.S.A.) ,  Harry K. Kaya (University of California, Davis, U.S.A.) ,  Fernando E. Vega (Sustainable Perennial Crops Laboratory, United States Department of Agriculture, Agricultural Research Service, Beltsville, MD) ,  Fernando E. Vega (Sustainable Perennial Crops Laboratory, United States Department of Agriculture, Agricultural Research Service, Beltsville, MD)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Dimensions:   Width: 17.80cm , Height: 3.50cm , Length: 25.40cm
Weight:   1.315kg
ISBN:  

9780126832556

ISBN 10:   0126832552
Pages:   680
Publication Date:   11 January 1993
Audience:   Professional and scholarly ,  Professional & Vocational
Replaced By:   9780123849847
Format:   Hardback
Publisher's Status:   Out of Print
Availability:   Out of stock  

Table of Contents

The main purpose of this book is to address the statistical issues for integrating independent studies. There exist a number of papers and books that discuss the mechanics of collecting, coding, and preparing data for a meta-analysis, and we do not deal with these. Because this book concerns methodology, the content necessarily is statistical, and at times mathematical. In order to make the material accessible to a wider audience, we have not provided proofs in the text. Where proofs are given, they are placed as commentary at the end of a chapter. These can be omitted at the discretion of the reader. Throughout the book we describe computational procedures whenever required. Many computations can be completed on a hand calculator, whereas some require the use of a standard statistical package such as SAS, SPSS, or BMD. Readers with experience using a statistical package or who conduct analyses such as multiple regression or analysis of variance should be able to carry out the analyses described with the aid of a statistical package.

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