## Elementary Probability Theory

*With Stochastic Processes and an Introduction to Mathematical Finance*

**Author**: Kai Lai Chung,Farid AitSahlia

**Publisher:**Springer Science & Business Media

**ISBN:**0387215484

**Category:**Mathematics

**Page:**404

**View:**2195

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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

**Author**: David Stirzaker

**Publisher:**Cambridge University Press

**ISBN:**9781139441032

**Category:**Mathematics

**Page:**N.A

**View:**3485

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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.

## Elementary Probability for Applications

**Author**: Rick Durrett

**Publisher:**Cambridge University Press

**ISBN:**0521867568

**Category:**Mathematics

**Page:**243

**View:**9777

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Explains probability using genetics, sports, finance, current events and more.

## Elementary Probability Theory

**Author**: Melvin Hausner

**Publisher:**Springer Science & Business Media

**ISBN:**1461517532

**Category:**Mathematics

**Page:**310

**View:**3151

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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.

## Elementary probability models and statistical inference

**Author**: Douglas George Chapman,Ronald A. Schaufele

**Publisher:**N.A

**ISBN:**N.A

**Category:**Mathematics

**Page:**358

**View:**7906

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Discrete random variables and probability models; The binomial probability model; Point estimation and hypothesis testing for the binomial distribution; Random sampling, sampling distributions, summarization of data, and estimation of parameters; Continuous distributions, the normal probability model, and approximations; point estimation and hypothesis testing for the mean of a normal population; Confidence intervals; Joint probability models; Regression and correlation; Chi-square tests; Nonparametric tests.

## Radically Elementary Probability Theory

**Author**: Edward Nelson

**Publisher:**Princeton University Press

**ISBN:**9780691084749

**Category:**Mathematics

**Page:**97

**View:**5229

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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.

## Elementary Probability Theory with Stochastic Processes

**Author**: K. L. Chung

**Publisher:**Springer Science & Business Media

**ISBN:**1475739737

**Category:**Mathematics

**Page:**325

**View:**5808

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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.

## Elementare Wahrscheinlichkeitstheorie und stochastische Prozesse

**Author**: Kai L. Chung

**Publisher:**Springer-Verlag

**ISBN:**3642670334

**Category:**Mathematics

**Page:**346

**View:**9962

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Aus den Besprechungen: "Unter den zahlreichen Einführungen in die Wahrscheinlichkeitsrechnung bildet dieses Buch eine erfreuliche Ausnahme. Der Stil einer lebendigen Vorlesung ist über Niederschrift und Übersetzung hinweg erhalten geblieben. In jedes Kapitel wird sehr anschaulich eingeführt. Sinn und Nützlichkeit der mathematischen Formulierungen werden den Lesern nahegebracht. Die wichtigsten Zusammenhänge sind als mathematische Sätze klar formuliert." #FREQUENZ#1

## Elementary Probability with Applications, Second Edition

**Author**: Larry Rabinowitz

**Publisher:**CRC Press

**ISBN:**1498771335

**Category:**Mathematics

**Page:**218

**View:**3897

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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.

## Elementary probability and statistics

*with optional computer applications*

**Author**: A. William Gray,Otis M. Ulm

**Publisher:**N.A

**ISBN:**N.A

**Category:**Mathematics

**Page:**272

**View:**9698

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

## Elementary Probability with Applications, Second Edition

**Author**: Larry Rabinowitz

**Publisher:**CRC Press

**ISBN:**1498771343

**Category:**Mathematics

**Page:**218

**View:**4361

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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.

## From Elementary Probability to Stochastic Differential Equations with MAPLE®

**Author**: Sasha Cyganowski,Peter Kloeden,Jerzy Ombach

**Publisher:**Springer Science & Business Media

**ISBN:**3642561446

**Category:**Mathematics

**Page:**310

**View:**3389

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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.

## Lectures in Elementary Probability Theory and Stochastic Processes

**Author**: Jean-Claude Falmagne

**Publisher:**McGraw-Hill Science Engineering

**ISBN:**9780072448900

**Category:**Mathematics

**Page:**274

**View:**7325

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Designed for undergraduate mathematics students or graduate students in the sciences. This book can be used in a prerequisite course for Statistics (for math majors) or Mathematical Modeling. The first eighteen chapters could be used in a one-quarter course, and the entire text is suitable for a one-semester course.

## Elementary Probability with Applications

**Author**: Dylan Shi

**Publisher:**Nicholson

**ISBN:**9781607971092

**Category:**

**Page:**260

**View:**959

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## A short course in elementary probability inequalities

**Author**: Peter Tan

**Publisher:**N.A

**ISBN:**N.A

**Category:**Mathematics

**Page:**158

**View:**9870

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## Modern elementary probability and statistics

*with statistical programming in SAS, MINITAB, & BMDP*

**Author**: Edward J. Dudewicz,Pinyuen Chen,Baldero Kumar Taneja

**Publisher:**Amer Sciences Pr

**ISBN:**9780935950199

**Category:**Mathematics

**Page:**375

**View:**5914

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## Elementary Probability for the Biological Sciences

**Author**: James E. Mosimann

**Publisher:**N.A

**ISBN:**N.A

**Category:**

**Page:**N.A

**View:**7952

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## Elementary Probability Theory with Stochastic Processes

**Author**: Kai Lai Chung

**Publisher:**Springer

**ISBN:**N.A

**Category:**Mathematics

**Page:**325

**View:**6205

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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.