Introduction To Applied Probability
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An Introduction To Applied Probability
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Author : Richard A. Roberts
language : en
Publisher:
Release Date : 1992-01
An Introduction To Applied Probability written by Richard A. Roberts and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-01 with categories.
An Introduction To Applied Probability
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Author : Ian F. Blake
language : en
Publisher:
Release Date : 1987
An Introduction To Applied Probability written by Ian F. Blake and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Mathematics categories.
Designed for a curriculum that contains only 2 single one-semester course on probability. Covers the core of probability theory, considers sums of random variables, derives sampling distributions, and discusses the approximation of distributions. Includes nonstatistical and statistical applications such as hypothesis testing, confidence intervals, and regression analysis. Numerous worked examples throughout the text illustrate the material and each chapter concludes with a number of problems.
Introduction To Applied Probability
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Author : David A. Schum
language : en
Publisher: Academic Press
Release Date : 1973
Introduction To Applied Probability written by David A. Schum and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Probabilities categories.
An Introduction To Applied Probability
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Author : Richard A. Roberts
language : en
Publisher:
Release Date : 1992
An Introduction To Applied Probability written by Richard A. Roberts and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Probabilities categories.
Introduction To Applied Probability
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Author : IAN F. BLAKE.
language : en
Publisher:
Release Date : 2018
Introduction To Applied Probability written by IAN F. BLAKE. and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
An Introduction To Applied Probability
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Author : Pierre Brémaud
language : en
Publisher: Springer
Release Date : 2024-06-04
An Introduction To Applied Probability written by Pierre Brémaud and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-04 with Mathematics categories.
This book provides the elements of probability and stochastic processes of direct interest to the applied sciences where probabilistic models play an important role, most notably in the information and communications sciences, computer sciences, operations research, and electrical engineering, but also in fields like epidemiology, biology, ecology, physics, and the earth sciences. The theoretical tools are presented gradually, not deterring the readers with a wall of technicalities before they have the opportunity to understand their relevance in simple situations. In particular, the use of the so-called modern integration theory (the Lebesgue integral) is postponed until the fifth chapter, where it is reviewed in sufficient detail for a rigorous treatment of the topics of interest in the various domains of application listed above. The treatment, while mathematical, maintains a balance between depth and accessibility that is suitable for theefficient manipulation, based on solid theoretical foundations, of the four most important and ubiquitous categories of probabilistic models: Markov chains, which are omnipresent and versatile models in applied probability Poisson processes (on the line and in space), occurring in a range of applications from ecology to queuing and mobile communications networks Brownian motion, which models fluctuations in the stock market and the "white noise" of physics Wide-sense stationary processes, of special importance in signal analysis and design, as well as in the earth sciences. This book can be used as a text in various ways and at different levels of study. Essentially, it provides the material for a two-semester graduate course on probability and stochastic processes in a department of applied mathematics or for students in departments where stochastic models play an essential role. The progressive introduction of concepts and tools, along with the inclusion of numerous examples, also makes this book well-adapted for self-study.
An Introduction To Applied Probability And Random Processes
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Author : John Bowman Thomas
language : en
Publisher:
Release Date : 1981
An Introduction To Applied Probability And Random Processes written by John Bowman Thomas and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Mathematics categories.
An Introduction To Applied Probability And Random Process
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Author : John B. Thomas
language : en
Publisher:
Release Date : 1971
An Introduction To Applied Probability And Random Process written by John B. Thomas and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with categories.
Fundamentals Of Applied Probability And Random Processes
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Author : Oliver Ibe
language : en
Publisher: Academic Press
Release Date : 2014-06-13
Fundamentals Of Applied Probability And Random Processes written by Oliver Ibe and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-13 with Mathematics categories.
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).
Applied Probability
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Author : Valérie Girardin
language : en
Publisher: Springer Nature
Release Date : 2022-05-04
Applied Probability written by Valérie Girardin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-04 with Mathematics categories.
This textbook presents the basics of probability and statistical estimation, with a view to applications. The didactic presentation follows a path of increasing complexity with a constant concern for pedagogy, from the most classical formulas of probability theory to the asymptotics of independent random sequences and an introduction to inferential statistics. The necessary basics on measure theory are included to ensure the book is self-contained. Illustrations are provided from many applied fields, including information theory and reliability theory. Numerous examples and exercises in each chapter, all with solutions, add to the main content of the book. Written in an accessible yet rigorous style, the book is addressed to advanced undergraduate students in mathematics and graduate students in applied mathematics and statistics. It will also appeal to students and researchers in other disciplines, including computer science, engineering, biology, physics and economics, who are interested in a pragmatic introduction to the probability modeling of random phenomena.