Applied Probability
Title | Applied Probability PDF eBook |
Author | Kenneth Lange |
Publisher | Springer Science & Business Media |
Pages | 378 |
Release | 2008-01-17 |
Genre | Mathematics |
ISBN | 0387227113 |
Despite the fears of university mathematics departments, mathematics educat,ion is growing rather than declining. But the truth of the matter is that the increases are occurring outside departments of mathematics. Engineers, computer scientists, physicists, chemists, economists, statis- cians, biologists, and even philosophers teach and learn a great deal of mathematics. The teaching is not always terribly rigorous, but it tends to be better motivated and better adapted to the needs of students. In my own experience teaching students of biostatistics and mathematical bi- ogy, I attempt to convey both the beauty and utility of probability. This is a tall order, partially because probability theory has its own vocabulary and habits of thought. The axiomatic presentation of advanced probability typically proceeds via measure theory. This approach has the advantage of rigor, but it inwitably misses most of the interesting applications, and many applied scientists rebel against the onslaught of technicalities. In the current book, I endeavor to achieve a balance between theory and app- cations in a rather short compass. While the combination of brevity apd balance sacrifices many of the proofs of a rigorous course, it is still cons- tent with supplying students with many of the relevant theoretical tools. In my opinion, it better to present the mathematical facts without proof rather than omit them altogether.
Fundamentals of Applied Probability and Random Processes
Title | Fundamentals of Applied Probability and Random Processes PDF eBook |
Author | Oliver Ibe |
Publisher | Academic Press |
Pages | 457 |
Release | 2014-06-13 |
Genre | Mathematics |
ISBN | 0128010355 |
The long-awaited revision of Fundamentals of Applied Probability and Random Processes expands on the central components that made the first edition a classic. The title is based on the premise that engineers use probability as a modeling tool, and that probability can be applied to the solution of engineering problems. Engineers and students studying probability and random processes also need to analyze data, and thus need some knowledge of statistics. This book is designed to provide students with a thorough grounding in probability and stochastic processes, demonstrate their applicability to real-world problems, and introduce the basics of statistics. The book's clear writing style and homework problems make it ideal for the classroom or for self-study. - Demonstrates concepts with more than 100 illustrations, including 2 dozen new drawings - Expands readers' understanding of disruptive statistics in a new chapter (chapter 8) - Provides new chapter on Introduction to Random Processes with 14 new illustrations and tables explaining key concepts. - Includes two chapters devoted to the two branches of statistics, namely descriptive statistics (chapter 8) and inferential (or inductive) statistics (chapter 9).
Fundamentals of Applied Probability Theory
Title | Fundamentals of Applied Probability Theory PDF eBook |
Author | Alvin William Drake |
Publisher | |
Pages | 0 |
Release | 1967 |
Genre | |
ISBN |
Applied Probability Models with Optimization Applications
Title | Applied Probability Models with Optimization Applications PDF eBook |
Author | Sheldon M. Ross |
Publisher | Courier Corporation |
Pages | 226 |
Release | 2013-04-15 |
Genre | Mathematics |
ISBN | 0486318648 |
Concise advanced-level introduction to stochastic processes that arise in applied probability. Poisson process, renewal theory, Markov chains, Brownian motion, much more. Problems. References. Bibliography. 1970 edition.
Advanced Probability Theory, Second Edition,
Title | Advanced Probability Theory, Second Edition, PDF eBook |
Author | Janos Galambos |
Publisher | CRC Press |
Pages | 484 |
Release | 1995-08-08 |
Genre | Mathematics |
ISBN | 9780824793326 |
This work thoroughly covers the concepts and main results of probability theory, from its fundamental principles to advanced applications. This edition provides examples early in the text of practical problems such as the safety of a piece of engineering equipment or the inevitability of wrong conclusions in seemingly accurate medical tests for AIDS and cancer.;College or university bookstores may order five or more copies at a special student price which is available upon request from Marcel Dekker, Inc.
A Probabilistic Theory of Pattern Recognition
Title | A Probabilistic Theory of Pattern Recognition PDF eBook |
Author | Luc Devroye |
Publisher | Springer Science & Business Media |
Pages | 631 |
Release | 2013-11-27 |
Genre | Mathematics |
ISBN | 1461207118 |
A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and exercises to further the readers understanding. Both research workers and graduate students will benefit from this wide-ranging and up-to-date account of a fast- moving field.
Applied Probability and Stochastic Processes
Title | Applied Probability and Stochastic Processes PDF eBook |
Author | Richard Martin Feldman |
Publisher | Brooks/Cole |
Pages | 328 |
Release | 1996 |
Genre | Mathematics |
ISBN |
In this book, Feldman and Valdez-Flores present applied probability and stochastic processes in an elementary but mathematically precise manner, with numerous examples and exercises to illustrate the range of engineering and science applications for the concepts. The book is designed to give the reader an intuitive understanding of probabilistic reasoning, in addition to an understanding of mathematical concepts and principles. Unique features of the book include a self-contained chapter on simulation (Chapter 3) and early introduction of Markov chains.