Author : Jan von Plato
Publisher : Cambridge University Press
Page : 336 pages
File Size : 42,3 MB
Release : 1998-01-12
Category : Mathematics
ISBN : 9780521597357
In this book the author charts the history and development of modern probability theory.
Author : Olav Kallenberg
Publisher : Springer Science & Business Media
Page : 670 pages
File Size : 10,4 MB
Release : 2002-01-08
Category : Mathematics
ISBN : 9780387953137
The first edition of this single volume on the theory of probability has become a highly-praised standard reference for many areas of probability theory. Chapters from the first edition have been revised and corrected, and this edition contains four new chapters. New material covered includes multivariate and ratio ergodic theorems, shift coupling, Palm distributions, Harris recurrence, invariant measures, and strong and weak ergodicity.
Author : F.M. Dekking
Publisher : Springer Science & Business Media
Page : 485 pages
File Size : 12,85 MB
Release : 2006-03-30
Category : Mathematics
ISBN : 1846281687
Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books
Author : Davar Khoshnevisan
Publisher : American Mathematical Soc.
Page : 248 pages
File Size : 31,43 MB
Release :
Category : Mathematics
ISBN : 9780821884010
This is a textbook for a one-semester graduate course in measure-theoretic probability theory, but with ample material to cover an ordinary year-long course at a more leisurely pace. Khoshnevisan's approach is to develop the ideas that are absolutely central to modern probability theory, and to showcase them by presenting their various applications. As a result, a few of the familiar topics are replaced by interesting non-standard ones. The topics range from undergraduate probability and classical limit theorems to Brownian motion and elements of stochastic calculus. Throughout, the reader will find many exciting applications of probability theory and probabilistic reasoning. There are numerous exercises, ranging from the routine to the very difficult. Each chapter concludes with historical notes.
Author : Daniel W. Stroock
Publisher : American Mathematical Soc.
Page : 299 pages
File Size : 44,88 MB
Release : 2013-07-05
Category : Mathematics
ISBN : 1470409070
This book covers the basics of modern probability theory. It begins with probability theory on finite and countable sample spaces and then passes from there to a concise course on measure theory, which is followed by some initial applications to probability theory, including independence and conditional expectations. The second half of the book deals with Gaussian random variables, with Markov chains, with a few continuous parameter processes, including Brownian motion, and, finally, with martingales, both discrete and continuous parameter ones. The book is a self-contained introduction to probability theory and the measure theory required to study it.
Author : George Boole
Publisher : Courier Corporation
Page : 514 pages
File Size : 17,35 MB
Release : 2012-01-01
Category : Mathematics
ISBN : 0486488268
Authoritative account of the development of Boole's ideas in logic and probability theory ranges from The Mathematical Analysis of Logic to the end of his career. The Laws of Thought formed the most systematic statement of Boole's theories; this volume contains incomplete studies intended for a follow-up volume. 1952 edition.
Author : David F. Anderson
Publisher : Cambridge University Press
Page : 447 pages
File Size : 30,62 MB
Release : 2017-11-02
Category : Mathematics
ISBN : 110824498X
This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the reader a first glimpse of the major theorems of the subject: the law of large numbers and the central limit theorem. The important probability distributions are introduced organically as they arise from applications. The discrete and continuous sides of probability are treated together to emphasize their similarities. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specific problems, but also why the methods of solution work.
Author :
Publisher : Allied Publishers
Page : 436 pages
File Size : 37,72 MB
Release : 2013
Category :
ISBN : 9788177644517
Probability theory
Author : Marek Capinski
Publisher : Springer Science & Business Media
Page : 229 pages
File Size : 27,37 MB
Release : 2013-06-29
Category : Mathematics
ISBN : 1447136314
This very well written and accessible book emphasizes the reasons for studying measure theory, which is the foundation of much of probability. By focusing on measure, many illustrative examples and applications, including a thorough discussion of standard probability distributions and densities, are opened. The book also includes many problems and their fully worked solutions.
Author : David Williams
Publisher : Cambridge University Press
Page : 274 pages
File Size : 13,34 MB
Release : 1991-02-14
Category : Mathematics
ISBN : 9780521406055
This is a masterly introduction to the modern, and rigorous, theory of probability. The author emphasises martingales and develops all the necessary measure theory.
