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eBook Applied Probability (Springer Texts in Statistics) epub

by Kenneth Lange

eBook Applied Probability (Springer Texts in Statistics) epub
  • ISBN: 0387004254
  • Author: Kenneth Lange
  • Genre: Science
  • Subcategory: Mathematics
  • Language: English
  • Publisher: Springer; 1st ed. 2003. Corr. 2nd printing edition (March 12, 2003)
  • Pages: 307 pages
  • ePUB size: 1171 kb
  • FB2 size 1664 kb
  • Formats rtf lit mobi doc


Applied Probability presents a unique blend of theory and applications, with special emphasis on mathematical . Series: Springer Texts in Statistics. Hardcover: 436 pages.

Applied Probability presents a unique blend of theory and applications, with special emphasis on mathematical modeling, computational techniques, and examples from the biological sciences. It can serve as a textbook for graduate students in applied mathematics, biostatistics, computational biology, computer science, physics, and statistics. Readers should have a working knowledge of multivariate calculus, linear algebra, ordinary differential equations, and elementary probability theory.

This text contributes to bridging the increasing gap between sophisticated mathematical themes in probability theory and pragmatic, concepts in statistics . Paperback: 436 pages.

This text contributes to bridging the increasing gap between sophisticated mathematical themes in probability theory and pragmatic, concepts in statistics and data analysis.

Applied probability I Kenneth Lange. p. cm. - (Springer texts in statistics). Includes bibliopphical lefcrrncca and index

Kenneth Iange Department of Biomathematics UCLA School of Medicine Las A n g e l s, CA 9W5-I766 USA. klange. Applied probability I Kenneth Lange. Includes bibliopphical lefcrrncca and index. ISBN 0-387004254 (Ilk. paper).

Most problems in frequentist statistics involve optimization of a function such as a likelihood or a sum of squares. EM algorithms are among the most eective algorithms for maximum likelihood estimation because they consis- tently drive the likelihood uphill by maximizing a simple surrogate function for the loglikelihood.

This book is intended for graduate students in applied mathematics, biostatistics, computational biology, computer science . Springer Texts in Statistics.

This book is intended for graduate students in applied mathematics, biostatistics, computational biology, computer science, physics and statistics. The book presents a mixture of theory and applications, with emphasis on mathematical modeling and computational techniques. It contains a number of examples from the biological sciences.

Springer Texts in Statistics. Advisors: George Casella Stephen Fienberg Ingram Olkin. Alfred: Elements of Statistics for the Life and Social Sciences Berger: An Introduction to Probability and Stochastic Processes Bilodeau and Brenner: Theory of Multivariate Statistics Blom: Probability and Statistics: Theory and Applications Brockwell and Davis: Introduction to Times Series and Forecasting, Second. Lindman: Analysis of Variance in Experimental Design Lindsey: Applying Generalized Linear Models. continued after index). All of Nonparametric Statistics. With 52 Illustrations. On average, the predicted probability of decrease is higher for the days in which the market does decrease

Springer Texts in Statistics. This book is appropriate for advanced undergraduates or master’s stu-dents in statistics or related quantitative elds or for individuals in other. On average, the predicted probability of decrease is higher for the days in which the market does decrease. Based on these results, we are able to correctly predict the direction of movement in the market 60% of the time. Gene Expression Data. A Modern Introduction to Probability and Statistics. Applied Statistics and Probability for Engineers. 5 MB·16,472 Downloads Probability and Statistics for Computer Scientists. 62 MB·13,134 Downloads. Introduction to Probability and Statistics for Engineers and Scientists. 69 MB·8,425 Downloads.

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Home Science & Math Applied Probability (Springer Texts in Statistics). Business & Money. Applied Probability (Springer Texts in Statistics). Kenneth Lange is Professor of Biomathematics and Human Genetics and Chair of the Department of Human Genetics at the UCLA School of Medicine. He has held appointments at the University of New Hampshire, MIT, Harvard, and the University of Michigan.

This textbook on applied probability is intended for graduate students in applied mathematics, biostatistics, computational biology, computer science, physics, and statistics. It presupposes knowledge of multivariate calculus, linear algebra, ordinary differential equations, and elementary probability theory. Given these prerequisites, Applied Probability presents a unique blend of theory and applications, with special emphasis on mathematical modeling, computational techniques, and examples from the biological sciences. Chapter 1 reviews elementary probability and provides a brief survey of relevant results from measure theory. Chapter 2 is an extended essay on calculating expectations. Chapter 3 deals with probabilistic applications of convexity, inequalities, and optimization theory. Chapters 4 and 5 touch on combinatorics and combinatorial optimization. Chapters 6 through 11 present core material on stochastic processes. If supplemented with appropriate sections from Chapters 1 and 2, there is sufficient material here for a traditional semester-long course in stochastic processes covering the basics of Poisson processes, Markov chains, branching processes, martingales, and diffusion processes. Finally, Chapters 12 and 13 develop the Chen-Stein method of Poisson approximation and connections between probability and number theory. Kenneth Lange is Professor of Biomathematics and Human Genetics and Chair of the Department of Human Genetics at the UCLA School of Medicine. He has held appointments at the University of New Hampshire, MIT, Harvard, and the University of Michigan. While at the University of Michigan, he was the Pharmacia & Upjohn Foundation Professor of Biostatistics. His research interests include human genetics, population modeling, biomedical imaging, computational statistics, and applied stochastic processes. Springer-Verlag published his books Numerical Analysis for Statisticians and Mathematical and Statistical Methods for Genetic Analysis Second Edition, in 1999 and 2002, respectively.
Comments: (2)
Winenama
It is a really good reference book for graduate student in statistics. It covers almost all aspects of application of probablity theory and gives good examples as well. Worthy to have one.
Roram
If probability theory tickles your fancy at all, this is a really great reference to have. My only criticism is that, at times, the book reads like just a collection of results. But it is mostly very inspirational and informative.
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