The Statistical Sleuth: A Course in Methods of Data Analysis - Hardcover

Ramsey, Fred; Schafer, Daniel

 
9781133490678: The Statistical Sleuth: A Course in Methods of Data Analysis

Inhaltsangabe

THE STATISTICAL SLEUTH: A COURSE IN METHODS OF DATA ANALYSIS, Third Edition offers an appealing treatment of general statistical methods that takes full advantage of the computer, both as a computational and an analytical tool. The material is independent of any specific software package, and prominently treats modeling and interpretation in a way that goes beyond routine patterns. The book focuses on a serious analysis of real case studies, strategies and tools of modern statistical data analysis, the interplay of statistics and scientific learning, and the communication of results. With interesting examples, real data, and a variety of exercise types (conceptual, computational, and data problems), the authors get readers excited about statistics.

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Über die Autorinnen und Autoren

Fred Ramsey received his undergraduate degree from the University of Oregon (1961) and graduate degrees from Iowa State University (1963, 1964). He completed post-doctorate work at Johns Hopkins University. He has been on the faculty of the Department of Statistics at Oregon State University since 1966, with leaves for teaching and research positions at the University of Copenhagen, Denmark (1972-1973); Murdoch University, Perth, Western Australia (1997-1978); the University of Wollongong, NSW, Australia (1985-1986); and Oregon Health Sciences University in Portland, Oregon (1990-1991). His principal research interest is applications of statistics to wildlife problems.

Daniel Schafer holds an undergraduate degree in Mathematics from Pomona College (1978) and graduate degrees in Statistics from the University of Chicago (1981, 1982). He is currently a professor of statistics at Oregon State University. His hobby is wildlife photography.

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9781133588191: The Statistical Sleuth : A Course in Methods of Data Analysis, International Edition

Vorgestellte Ausgabe

ISBN 10:  1133588190 ISBN 13:  9781133588191
Verlag: Brooks/Cole, 2012
Softcover