Probability and Statistical Inference av Nitis Mukhopadhyay

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Priced very competitively compared with other textbooks at this level!<BR>This gracefully organized textbook reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, numerous figures and tables, and computer simulations to develop and illustrate concepts. <BR><BR>Beginning with an introduction to the basic ideas and techniques in probability theory and progressing to more rigorous topics, Probability and Statistical Inference<BR><li>studies the Helmert transformation for normal distributions and the waiting time between failures for exponential distributions <BR></li><li>develops notions of convergence in probability and distribution <BR></li><li>spotlights the central limit theorem (CLT) for the sample variance <BR></li><li>introduces sampling distributions and the Cornish-Fisher expansions <BR></li><li>concentrates on the fundamentals of sufficiency, information, completeness, and ancillarity <BR></li><li>expla