Applied Probability

Author: Kenneth Lange
Edition: 2nd ed. 2010
Binding: Hardcover
ISBN: 1441971645
Publisher: Springer
Features:

Applied Probability (Springer Texts in Statistics)

Applied Probability presents a unique blend of theory and applications, with special emphasis on mathematical modeling, computational techniques, and examples from the biological sciences. Search and download computer ebooks Applied Probability (Springer Texts in Statistics) for free.
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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. Chapter 1 reviews elementary probability and provides a brief survey of relevant results from measure theory.A Chapter 2 is an extended essay on calculating expectations. Chapter 3 deals with probabilistic applications of convexity, inequalities, and optimization

Bent Jorgensen: The Theory of Dispersion Models: Monographs on Statistics and Applied Probability 76

Applied Probability and Stochastic Processes is an edited work written in honor of Julien Keilson. This volume has attracted a host of scholars in applied probability, who have made major contributions to the field, and have written survey and state-of-the-art papers on a variety of applied probability topics, including, but not limited to: perturbation method, time reversible Markov chains, Poisson processes, Brownian techniques, Bayesian probability, optimal quality control, Markov decision processes, random matrices, queueing theory and a variety of applications of stochastic processes.
The

This book moves systematically through the topic of applied probability from an introductory chapter to such topics as random variables and vectors, stochastic processes, estimation, testing and regression. The topics are well chosen and the presentation is enriched by many examples from real life. Each chapter concludes with many original, solved and unsolved problems and hundreds of multiple choice questions, enabling those unfamiliar with the topics to master them. Additionally appealing are historical notes on the mathematicians mentioned throughout, and a useful bibliography. A distinguis

Studies in applied mathematics 3; A collection of papers presented by invitation at the Symposia on Applied Probability and Monte Carlo Methods and Modern Aspects of Dynamics sponsored by the Air Force Office of Scientific Research at the 1967 National Meeting of SIAM in Washington DC, June 11-15, 1967 . Society for Industrial and Applied Mathematics, 1969. Octavo, turquoise cloth pages with gilt lettering on front and spine, 141 pages. Contents: The Mathematical Basis of Monte Carlo and Quas

Applied Probability Free

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. Chapter 1 reviews elementary probability and provides a brief survey of relevant results from measure theory.A Chapter 2 is an extended essay on calculating expectations
t 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. Chapter 1 reviews elementary probability and provides a brief survey of relevant results from measure theory.A Chapter 2 is an extended essay on calculating expectations. Chapter 3 deals with probabilistic applications of convexity, inequalities, and optimization