Basic Statistics: A Primer for the Biomedical Sciences

Mickey, Ruth M.

ISBN 10: 0471227447 / ISBN 13: 9780471227441

Published by Wiley (edition 2), 1977

About this Item

The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

Seller Inventory # 0471227447-7-1

Bibliographic Details

• Title: Basic Statistics: A Primer for the Biomedical Sciences
• Publisher: Wiley (edition 2)
• Publication Date: 1977
• Language: English
• ISBN 10: 0471227447
• ISBN 13: 9780471227441
• Binding: Hardcover
• Edition: 2.
• Condition: Fair

About this title

Synopsis

Regression Analysis by Example Samprit Chatterjee and Bertram Price Bridges the gap between theory and practice of regression analysis, providing a balance between theoretical results and the analyst’s subjective judgment. Describes methods by using realistic examples that emphasize the analysis of data and that contain irregularities similar to those encountered in practice. Demonstrates how to apply theoretical results by utilizing standard—and some not so standard—summary statistics on the basis of their intuitive appeal. 1977 Interactive Data Analysis A Practical Primer Donald R. McNeil Introduces the use of Exploratory Data Analysis in scientific work. Gives a set of numerical and graphical methods to find structure in data. Illustrations show the power and simplicity of the methods, and all listings are given in Fortran and APL for all the programs used to produce displays and analysis in the text. Assumes no formal knowledge of probability, mathematics, or computing. 1977 Statistical Survey Techniques Raymond J. Jessen A comprehensive, balanced treatment of the techniques for designing surveys and analyzing their data. Describes the methods which seem to be basic to such diverse fields as public opinion measurement, sociology, political science, economics, business, various governmental agencies, biology (e.g. wildlife and fisheries), engineering (e.g. traffic studies), urban planning and management, ecological studies, and many others. 1977

About the Author

About the author OLIVE JEAN DUNN has been Professor of Biostatistics, School of Public Health, University of California, Los Angeles since 1970. She received her Ph.D. in mathematics from UCLA in 1956 and is a fellow of the American Statistical Association, the American Association for the Advancement of Science, and the American Public Health Association. In 1974 she received the Woman of Science Award from UCLA and, in 1975, was recipient of a Special Award from the National Teachers Hall of Fame Foundation. Dr. Dunn is coauthor with Virginia A. Clark of Applied Statistics: Analysis of Variance and Regression (Wiley, 1974).