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OverviewFull Product DetailsAuthor: 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: 9780126832556ISBN 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 ContentsThe 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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