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Author : Santosh S. Venkatesh
Publisher : Cambridge University Press
Page : 830 pages
File Size : 52,7 Mb
Release : 2013
Category : Mathematics
ISBN : 9781107024472
From classical foundations to modern theory, this comprehensive guide to probability interweaves mathematical proofs, historical context and detailed illustrative applications.
Author : Harold Jeffreys
Publisher : OUP Oxford
Page : 474 pages
File Size : 55,8 Mb
Release : 1998-08-06
Category : Science
ISBN : 9780191589676
Another title in the reissued Oxford Classic Texts in the Physical Sciences series, Jeffrey's Theory of Probability, first published in 1939, was the first to develop a fundamental theory of scientific inference based on the ideas of Bayesian statistics. His ideas were way ahead of their time and it is only in the past ten years that the subject of Bayes' factors has been significantly developed and extended. Until recently the two schools of statistics (Bayesian and Frequentist) were distinctly different and set apart. Recent work (aided by increased computer power and availability) has changed all that and today's graduate students and researchers all require an understanding of Bayesian ideas. This book is their starting point.
Author : Parimal Mukhopadhyay
Publisher : World Scientific
Page : 493 pages
File Size : 43,9 Mb
Release : 2012
Category : Mathematics
ISBN : 9789814313421
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.
Author : George E. Andrews
Publisher : Courier Corporation
Page : 292 pages
File Size : 50,9 Mb
Release : 2012-04-30
Category : Mathematics
ISBN : 9780486135106
Undergraduate text uses combinatorial approach to accommodate both math majors and liberal arts students. Covers the basics of number theory, offers an outstanding introduction to partitions, plus chapters on multiplicativity-divisibility, quadratic congruences, additivity, and more.
Author : Boris Vladimirovich Gnedenko,Aleksandr I?Akovlevich Khinchin
Publisher : Courier Corporation
Page : 162 pages
File Size : 51,9 Mb
Release : 1962-01-01
Category : Mathematics
ISBN : 9780486601557
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.
Author : Boris Vladimirovich Gnedenko
Publisher : Unknown
Page : 552 pages
File Size : 49,6 Mb
Release : 1968
Category : Probabilities
ISBN : UOM:39015004546118
The concept of probability; Sequences of independent trials; Markov chains; Randon variables and distribution functions; Numerical characteristics of Randon variables; The law of large numbers; Characteristic functions; The classical limit theorem; The theory of infinitely divisible distribution laws; The theory of stochastic processes; Elements of queueing theory; Elements of statistics.
Author : Richard von Mises
Publisher : Academic Press
Page : 708 pages
File Size : 52,8 Mb
Release : 2014-05-12
Category : Mathematics
ISBN : 9781483264028
Mathematical Theory of Probability and Statistics focuses on the contributions and influence of Richard von Mises on the processes, methodologies, and approaches involved in the mathematical theory of probability and statistics. The publication first elaborates on fundamentals, general label space, and basic properties of distributions. Discussions focus on Gaussian distribution, Poisson distribution, mean value variance and other moments, non-countable label space, basic assumptions, operations, and distribution function. The text then ponders on examples of combined operations and summation of chance variables characteristic function. The book takes a look at the asymptotic distribution of the sum of chance variables and probability inference. Topics include inference from a finite number of observations, law of large numbers, asymptotic distributions, limit distribution of the sum of independent discrete random variables, probability of the sum of rare events, and probability density. The text also focuses on the introduction to the theory of statistical functions and multivariate statistics. The publication is a dependable source of information for researchers interested in the mathematical theory of probability and statistics
Author : Achim Klenke
Publisher : Springer Science & Business Media
Page : 621 pages
File Size : 40,7 Mb
Release : 2007-12-31
Category : Mathematics
ISBN : 9781848000483
Aimed primarily at graduate students and researchers, this text is a comprehensive course in modern probability theory and its measure-theoretical foundations. It covers a wide variety of topics, many of which are not usually found in introductory textbooks. The theory is developed rigorously and in a self-contained way, with the chapters on measure theory interlaced with the probabilistic chapters in order to display the power of the abstract concepts in the world of probability theory. In addition, plenty of figures, computer simulations, biographic details of key mathematicians, and a wealth of examples support and enliven the presentation.
Author : Donald Gillies
Publisher : Routledge
Page : 239 pages
File Size : 40,9 Mb
Release : 2012-09-10
Category : Philosophy
ISBN : 9781134672455
The Twentieth Century has seen a dramatic rise in the use of probability and statistics in almost all fields of research. This has stimulated many new philosophical ideas on probability. Philosophical Theories of Probability is the first book to present a clear, comprehensive and systematic account of these various theories and to explain how they relate to one another. Gillies also offers a distinctive version of the propensity theory of probability, and the intersubjective interpretation, which develops the subjective theory.
Author : Nikolai Dokuchaev
Publisher : World Scientific Publishing Company
Page : 224 pages
File Size : 53,6 Mb
Release : 2015-06-12
Category : Business & Economics
ISBN : 9789814678056
This book provides a systematic, self-sufficient and yet short presentation of the mainstream topics on introductory Probability Theory with some selected topics from Mathematical Statistics. It is suitable for a 10- to 14-week course for second- or third-year undergraduate students in Science, Mathematics, Statistics, Finance, or Economics, who have completed some introductory course in Calculus. There is a sufficient number of problems and solutions to cover weekly tutorials.
Author : Hans Reichenbach
Publisher : Univ of California Press
Page : 516 pages
File Size : 46,8 Mb
Release : 1971
Category : Electronic
ISBN : 8210379456XXX
Author : Rick Durrett
Publisher : Cambridge University Press
Page : 128 pages
File Size : 43,9 Mb
Release : 2010-08-30
Category : Mathematics
ISBN : 9781139491136
This classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the best way to learn probability is to see it in action, so there are 200 examples and 450 problems. The fourth edition begins with a short chapter on measure theory to orient readers new to the subject.
Author : Paul E. Pfeiffer
Publisher : Courier Corporation
Page : 416 pages
File Size : 55,6 Mb
Release : 2013-05-13
Category : Mathematics
ISBN : 9780486165660
Using the Kolmogorov model, this intermediate-level text discusses random variables, probability distributions, mathematical expectation, random processes, more. For advanced undergraduates students of science, engineering, or math. Includes problems with answers and six appendixes. 1965 edition.
Author : Alfred Renyi
Publisher : Courier Corporation
Page : 674 pages
File Size : 45,6 Mb
Release : 2007-05-11
Category : Mathematics
ISBN : 9780486458670
The founder of Hungary's Probability Theory School, A. Rényi made significant contributions to virtually every area of mathematics. This introductory text is the product of his extensive teaching experience and is geared toward readers who wish to learn the basics of probability theory, as well as those who wish to attain a thorough knowledge in the field. Based on the author's lectures at the University of Budapest, this text requires no preliminary knowledge of probability theory. Readers should, however, be familiar with other branches of mathematics, including a thorough understanding of the elements of the differential and integral calculus and the theory of real and complex functions. These well-chosen problems and exercises illustrate the algebras of events, discrete random variables, characteristic functions, and limit theorems. The text concludes with an extensive appendix that introduces information theory.
Author : Terrence L. Fine
Publisher : Academic Press
Page : 276 pages
File Size : 44,9 Mb
Release : 2014-05-10
Category : Mathematics
ISBN : 9781483263892
Theories of Probability: An Examination of Foundations reviews the theoretical foundations of probability, with emphasis on concepts that are important for the modeling of random phenomena and the design of information processing systems. Topics covered range from axiomatic comparative and quantitative probability to the role of relative frequency in the measurement of probability. Computational complexity and random sequences are also discussed. Comprised of nine chapters, this book begins with an introduction to different types of probability theories, followed by a detailed account of axiomatic formalizations of comparative and quantitative probability and the relations between them. Subsequent chapters focus on the Kolmogorov formalization of quantitative probability; the common interpretation of probability as a limit of the relative frequency of the number of occurrences of an event in repeated, unlinked trials of a random experiment; an improved theory for repeated random experiments; and the classical theory of probability. The book also examines the origin of subjective probability as a by-product of the development of individual judgments into decisions. Finally, it suggests that none of the known theories of probability covers the whole domain of engineering and scientific practice. This monograph will appeal to students and practitioners in the fields of mathematics and statistics as well as engineering and the physical and social sciences.
