An Elementary Introduction To The Theory Of Probability
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An Elementary Introduction To The Theory Of Probability
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Author : Boris Vladimirovič Gnedenko
language : en
Publisher:
Release Date : 1961
An Elementary Introduction To The Theory Of Probability written by Boris Vladimirovič Gnedenko and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1961 with categories.
An Elementary Introduction To The Theory Of Probability
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Author : Boris Vladimirovich Gnedenko
language : en
Publisher: Courier Corporation
Release Date : 1962-01-01
An Elementary Introduction To The Theory Of Probability written by Boris Vladimirovich Gnedenko and has been published by Courier Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 1962-01-01 with Mathematics categories.
This compact volume equips the reader with all the facts and principles essential to a fundamental understanding of the theory of probability. It is an introduction, no more: throughout the book the authors discuss the theory of probability for situations having only a finite number of possibilities, and the mathematics employed is held to the elementary level. But within its purposely restricted range it is extremely thorough, well organized, and absolutely authoritative. It is the only English translation of the latest revised Russian edition; and it is the only current translation on the market that has been checked and approved by Gnedenko himself. After explaining in simple terms the meaning of the concept of probability and the means by which an event is declared to be in practice, impossible, the authors take up the processes involved in the calculation of probabilities. They survey the rules for addition and multiplication of probabilities, the concept of conditional probability, the formula for total probability, Bayes's formula, Bernoulli's scheme and theorem, the concepts of random variables, insufficiency of the mean value for the characterization of a random variable, methods of measuring the variance of a random variable, theorems on the standard deviation, the Chebyshev inequality, normal laws of distribution, distribution curves, properties of normal distribution curves, and related topics. The book is unique in that, while there are several high school and college textbooks available on this subject, there is no other popular treatment for the layman that contains quite the same material presented with the same degree of clarity and authenticity. Anyone who desires a fundamental grasp of this increasingly important subject cannot do better than to start with this book. New preface for Dover edition by B. V. Gnedenko.
An Elementary Introduction To The Theory Of Probability
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Author : B. Gnedenko
language : en
Publisher:
Release Date : 1992
An Elementary Introduction To The Theory Of Probability written by B. Gnedenko and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with categories.
Elementary Applications Of Probability Theory
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Author : Henry C. Tuckwell
language : en
Publisher: Routledge
Release Date : 2018-02-06
Elementary Applications Of Probability Theory written by Henry C. Tuckwell and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-06 with Mathematics categories.
This book provides a clear and straightforward introduction to applications of probability theory with examples given in the biological sciences and engineering. The first chapter contains a summary of basic probability theory. Chapters two to five deal with random variables and their applications. Topics covered include geometric probability, estimation of animal and plant populations, reliability theory and computer simulation. Chapter six contains a lucid account of the convergence of sequences of random variables, with emphasis on the central limit theorem and the weak law of numbers. The next four chapters introduce random processes, including random walks and Markov chains illustrated by examples in population genetics and population growth. This edition also includes two chapters which introduce, in a manifestly readable fashion, the topic of stochastic differential equations and their applications.
An Elementary Introduction To Probability
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Author : Warren B. Gordon
language : en
Publisher: CreateSpace
Release Date : 2008-08-14
An Elementary Introduction To Probability written by Warren B. Gordon and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-14 with Mathematics categories.
Most probability texts on the market assume the student studying it is a mathematics or science major who has completed three semesters of calculus. However, a large number of students majoring in quantitative disciplines like Economic or Finance that have typically taken one semester of calculus who require a firm introduction to probability theory. It is these students at whom this text is aimed. The first two-thirds of the text deals mostly with discrete distributions; the last third generalizes most of the basic concepts introduced to continuous distributions, including the uniform, exponential and normal distributions, and concludes with the central limit theorem. We have purposely excluded discussions of the gamma, beta and chi square distributions usually considered in a first course. Our goal was to provide students with a strong foundation that will enable them to take courses that have probability as a prerequisite, typically an introduction to financial mathematics.
Elementary Probability Theory
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Author : Kai Lai Chung
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-11-12
Elementary Probability Theory written by Kai Lai Chung and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-12 with Mathematics categories.
This book provides an introduction to probability theory and its applications. The emphasis is on essential probabilistic reasoning, which is illustrated with a large number of samples. The fourth edition adds material related to mathematical finance as well as expansions on stable laws and martingales. From the reviews: "Almost thirty years after its first edition, this charming book continues to be an excellent text for teaching and for self study." -- STATISTICAL PAPERS
Elementary Probability Theory With Stochastic Processes
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Author : K. L. Chung
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Elementary Probability Theory With Stochastic Processes written by K. L. Chung and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Mathematics categories.
This book provides an elementary introduction to probability theory and its applications. The emphasis is on essential probabilistic reasoning, amply motivated, explained and illustrated with a large number of carefully selected samples. The fourth edition adds material related to mathematical finance, as well as expansions on stable laws and martingales.
An Introduction To Probability Theory
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Author : K. Itô
language : en
Publisher: Cambridge University Press
Release Date : 1984-09-28
An Introduction To Probability Theory written by K. Itô and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984-09-28 with Mathematics categories.
One of the most distinguished probability theorists in the world rigorously explains the basic probabilistic concepts while fostering an intuitive understanding of random phenomena.
An Introduction To The Theory Of Probability
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Author : Parimal Mukhopadhyay
language : en
Publisher: World Scientific
Release Date : 2012
An Introduction To The Theory Of Probability written by Parimal Mukhopadhyay and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Mathematics categories.
The Theory of Probability is a major tool that can be used to explain and understand the various phenomena in different natural, physical and social sciences. This book provides a systematic exposition of the theory in a setting which contains a balanced mixture of the classical approach and the modern day axiomatic approach. After reviewing the basis of the theory, the book considers univariate distributions, bivariate normal distribution, multinomial distribution and convergence of random variables. Difficult ideas have been explained lucidly and have been augmented with explanatory notes, examples and exercises. The basic requirement for reading this book is simply a knowledge of mathematics at graduate level. This book tries to explain the difficult ideas in the axiomatic approach to the theory of probability in a clear and comprehensible manner. It includes several unusual distributions including the power series distribution that have been covered in great detail. Readers will find many worked-out examples and exercises with hints, which will make the book easily readable and engaging. The author is a former Professor of the Indian Statistical Institute, India.
An Elementary Introduction To Statistical Learning Theory
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Author : Sanjeev Kulkarni
language : en
Publisher: John Wiley & Sons
Release Date : 2011-06-09
An Elementary Introduction To Statistical Learning Theory written by Sanjeev Kulkarni and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-09 with Mathematics categories.
A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible primer on the rapidly evolving fields of statistical pattern recognition and statistical learning theory. Explaining these areas at a level and in a way that is not often found in other books on the topic, the authors present the basic theory behind contemporary machine learning and uniquely utilize its foundations as a framework for philosophical thinking about inductive inference. Promoting the fundamental goal of statistical learning, knowing what is achievable and what is not, this book demonstrates the value of a systematic methodology when used along with the needed techniques for evaluating the performance of a learning system. First, an introduction to machine learning is presented that includes brief discussions of applications such as image recognition, speech recognition, medical diagnostics, and statistical arbitrage. To enhance accessibility, two chapters on relevant aspects of probability theory are provided. Subsequent chapters feature coverage of topics such as the pattern recognition problem, optimal Bayes decision rule, the nearest neighbor rule, kernel rules, neural networks, support vector machines, and boosting. Appendices throughout the book explore the relationship between the discussed material and related topics from mathematics, philosophy, psychology, and statistics, drawing insightful connections between problems in these areas and statistical learning theory. All chapters conclude with a summary section, a set of practice questions, and a reference sections that supplies historical notes and additional resources for further study. An Elementary Introduction to Statistical Learning Theory is an excellent book for courses on statistical learning theory, pattern recognition, and machine learning at the upper-undergraduate and graduate levels. It also serves as an introductory reference for researchers and practitioners in the fields of engineering, computer science, philosophy, and cognitive science that would like to further their knowledge of the topic.