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Springer New York

Statistical Inference in Science

Statistical Inference in Science

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The aim of this book is to develop an understanding and treatment of t he problems of inference associated with experiments in science. Many textbooks treat inference as principally the reduction of the sample i nformation to estimates and their marginal distribution and supposedly optimal properties. In contrast, this book emphasizes techniques for dividing the sample information into various parts addressing the dive rse problems of inference that arise from repeatable experiments. An u nusually valuable feature of the book is the large number of practical examples, many of which use data taken from experiments published in various scientific journals.

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