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Statistical inference has mainly dealt with problems of testing and estimation of unknown parameters of probability distributions. This book examines the differing philosophical foundations of the statistical modes of parametric inference, and discusses their strengths and weaknesses. It stresses the theoretical aspects rather than the methodology and application.
Author Biography
SEYMOUR GEISSER, PHD, was Professor of Statistics and Director of the School of Statistics, University of Minnesota, for more than thirty years. In addition to publishing more than 150 scholarly papers and reviews, Dr. Geisser was the Editor of four important volumes in statistical inference and applications, and the author of the unique and critically acclaimed book Predictive Inference.
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