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Zusatztext "Mathematical Statistics with Applications meets an unmet need in advanced undergraduate and graduate programs. It is remarkable in its coverage to modern statistical theory with the necessary rigor and its applications to practical problems. Another unique feature is the inclusion of mathematical results needed to understand statistical theory and modern computational tools for data analysis. All these features make the book a self contained and unique text for imparting a balanced knowledge of statistics to students aspiring to be in statistics profession or pursue a research career. It will also be a fine reference text for applied scientists who require the occasional use of mathematical statistics." -C.R. Rao! Sc. D.! F.R.S. Member! National Academy of Science! USA! Eberly Professor Emeritus of Statistics! Director of the Center for Multivariate Analysis! Penn State University! University Park! Pennsylvania! USA "Each chapter has a number of exercises! in total about two hundred and fifty."-N. D. C. Veraverbeke! Short Book Reviews of the ISI "?would be a reasonable textbook for the introductory mathematical statistics sequence at the graduate level. The many applications will be an aid to learning and any theoretical deficiencies can be supplemented in the classroom."-Patricia Pepple Williamson! Virginia Commonwealth University! Journal of the American Statistical Association Informationen zum Autor Asha Seth Kapadia, Wenyaw Chan, Lemuel A. Moyé Klappentext Mathematical Statistics with Applications provides a thorough grounding in the prerequisite material along with an extensive link to the applications of the theory to the student's area of interest. This is a crucial resource for students who are not applied statisticians, but who wish to apply statistics to enrich their field of interest. Zusammenfassung Mathematical Statistics with Applications provides a thorough grounding in the prerequisite material along with an extensive link to the applications of the theory to the student's area of interest. This is a crucial resource for students who are not applied statisticians, but who wish to apply statistics to enrich their field of interest. Inhaltsverzeichnis Series Introduction. Preface. Introduction. Review of Mathematics. Probability Theory. Random Variables. Discrete Probability Distributions. Continuous Probability Distributions. Order Statistics. Limiting Approaches. Point Estimation. Computational Statistics. Hypothesis Testing. Interval Estimation. Index....
