Statistical Inference in Science (Springer Series in Statistics)

✍ Scribed by David A. Sprott

Publisher: Springer
Year: 2000
Tongue: English
Leaves: 262
Series: Springer Series in Statistics
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

A treatment of the problems of inference associated with experiments in science, with the emphasis on techniques for dividing the sample information into various parts, such that the diverse problems of inference that arise from repeatable experiments may be addressed. A particularly valuable feature is the large number of practical examples, many of which use data taken from experiments published in various scientific journals. This book evolved from the authors own courses on statistical inference, and assumes an introductory course in probability, including the calculation and manipulation of probability functions and density functions, transformation of variables and the use of Jacobians. While this is a suitable text book for advanced undergraduate, Masters, and Ph.D. statistics students, it may also be used as a reference book.

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