Elementary Probability for Applications Explains probability using genetics, sports, finance, current events and more.

Author: Rick Durrett

Publisher: Cambridge University Press

ISBN: 9780521867566

Category: Mathematics

Page: 243

View: 567

Explains probability using genetics, sports, finance, current events and more.
2009-07-31

Elementary Probability The text is accessible to undergraduate students and provides numerous worked examples and exercises to help build the important skills necessary for problem solving.

Author: David Stirzaker

Publisher: Cambridge University Press

ISBN: 9781139441032

Category: Mathematics

Page:

View: 461

Now available in a fully revised and updated second edition, this well established textbook provides a straightforward introduction to the theory of probability. The presentation is entertaining without any sacrifice of rigour; important notions are covered with the clarity that the subject demands. Topics covered include conditional probability, independence, discrete and continuous random variables, basic combinatorics, generating functions and limit theorems, and an introduction to Markov chains. The text is accessible to undergraduate students and provides numerous worked examples and exercises to help build the important skills necessary for problem solving.
2003-08-18

Elementary Probability Theory This book provides an introduction to probability theory and its applications.

Author: Kai Lai Chung

Publisher: Springer Science & Business Media

ISBN: 9780387215488

Category: Mathematics

Page: 404

View: 596

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
2012-11-12

Elementary Probability Theory This text contains ample material for a one term precalculus introduction to probability theory. lt can be used by itself as an elementary introduc tion to probability, or as the probability half of a one-year probability statistics course.

Author: Melvin Hausner

Publisher: Springer Science & Business Media

ISBN: 9781461517535

Category: Mathematics

Page: 310

View: 698

This text contains ample material for a one term precalculus introduction to probability theory. lt can be used by itself as an elementary introduc tion to probability, or as the probability half of a one-year probability statistics course. Although the development of the subject is rigorous, experimental motivation is maintained throughout the text. Also, statistical and practical applications are given throughout. The core of the text consists of the unstarred sections, most of chapters 1-3 and 5-7. Included are finite probability spaces, com binatorics, set theory, independence and conditional probability, random variables, Chebyshev's theorem, the law of large numbers, the binomial distribution, the normal distribution and the normal approxi mation to the binomial distribution. The starred sections include limiting and infinite processes, a mathematical discussion of symmetry, and game theory. These sections are indicated with an*, and are optional and sometimes more difficult. I have, in most places throughout the text, given decimal equivalents to fractional answers. Thus, while the mathematician finds the answer p = 17/143 satisfactory, the scientist is best appeased by the decimal approximation p = 0.119. A decimal answer gives a ready way of find ing the correct order of magnitude and of comparing probabilities.
2013-12-01

From Elementary Probability to Stochastic Differential Equations with MAPLE This is an introduction to probabilistic and statistical concepts necessary to understand the basic ideas and methods of stochastic differential equations.

Author: Sasha Cyganowski

Publisher: Springer Science & Business Media

ISBN: 9783642561443

Category: Mathematics

Page: 310

View: 284

This is an introduction to probabilistic and statistical concepts necessary to understand the basic ideas and methods of stochastic differential equations. Based on measure theory, which is introduced as smoothly as possible, it provides practical skills in the use of MAPLE in the context of probability and its applications. It offers to graduates and advanced undergraduates an overview and intuitive background for more advanced studies.
2012-12-06

Elementary Probability with Applications What we need for a “second-level Shakespeare monkey” are conditional probabilities. That is, if a W is selected as the first character, what are the conditional probabilities of getting A, B, C, etc. for the next character?

Author: Larry Rabinowitz

Publisher: CRC Press

ISBN: 9781498771337

Category: Mathematics

Page: 208

View: 860

Elementary Probability with Applications, Second Edition shows students how probability has practical uses in many different fields, such as business, politics, and sports. In the book, students learn about probability concepts from real-world examples rather than theory. The text explains how probability models with underlying assumptions are used to model actual situations. It contains examples of probability models as they relate to: Bloc voting Population genetics Doubling strategies in casinos Machine reliability Airline management Cryptology Blood testing Dogs resembling owners Drug detection Jury verdicts Coincidences Number of concert hall aisles 2000 U.S. presidential election Points after deuce in tennis Tests regarding intelligent dogs Music composition Based on the author’s course at The College of William and Mary, the text can be used in a one-semester or one-quarter course in discrete probability with a strong emphasis on applications. By studying the book, students will appreciate the subject of probability and its applications and develop their problem-solving and reasoning skills.
2016-11-03

Elementary Probability Theory with Stochastic Processes A priori, a posteriori probability, 118 Absorbing state, 260 Absorption probability, 288 Absorption time, ... 275 Ehrenfest model, 258, 283, 298 Einstein, 123, 249 Elementary probabilities, 82 Empty set, 2 Equally likely, 24, ...

Author: K. L. Chung

Publisher: Springer Science & Business Media

ISBN: 9781475751147

Category: Mathematics

Page: 325

View: 334

In the past half-century the theory of probability has grown from a minor isolated theme into a broad and intensive discipline interacting with many other branches of mathematics. At the same time it is playing a central role in the mathematization of various applied sciences such as statistics, opera tions research, biology, economics and psychology-to name a few to which the prefix "mathematical" has so far been firmly attached. The coming-of-age of probability has been reflected in the change of contents of textbooks on the subject. In the old days most of these books showed a visible split personality torn between the combinatorial games of chance and the so-called "theory of errors" centering in the normal distribution. This period ended with the appearance of Feller's classic treatise (see [Feller l]t) in 1950, from the manuscript of which I gave my first substantial course in probability. With the passage of time probability theory and its applications have won a place in the college curriculum as a mathematical discipline essential to many fields of study. The elements of the theory are now given at different levels, sometimes even before calculus. The present textbook is intended for a course at about the sophomore level. It presupposes no prior acquaintance with the subject and the first three chapters can be read largely without the benefit of calculus.
2013-03-09 Using only the very elementary framework of finite probability spaces, this book treats a number of topics in the modern theory of stochastic processes.

Author: Edward Nelson

Publisher: Princeton University Press

ISBN: 0691084742

Category: Mathematics

Page: 97

View: 265

Using only the very elementary framework of finite probability spaces, this book treats a number of topics in the modern theory of stochastic processes. This is made possible by using a small amount of Abraham Robinson's nonstandard analysis and not attempting to convert the results into conventional form.
1987

Elementary Probability and Statistics A textbook introducing the basic principles of statistics and probability and their application in such fields as education, industry, and economics.

Author: A. William Gray

Publisher:

ISBN: STANFORD:36105031634640

Category: Probabilities

Page: 272

View: 321

A textbook introducing the basic principles of statistics and probability and their application in such fields as education, industry, and economics.
1973

Elementary Probability Theory with Stochastic Processes In the old days most of these books showed a visible split personality torn between the combinatorial games of chance and the so-called "theory of errors" centering in the normal distribution.

Author: K. L. Chung

Publisher: Springer

ISBN: 0387901590

Category: Mathematics

Page: 325

View: 917