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: 9741
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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: 9256
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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 and statistics

with optional computer applications
Author: A. William Gray,Otis M. Ulm
Publisher: N.A
ISBN: N.A
Category: Mathematics
Page: 272
View: 7320
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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 for Applications


Author: Rick Durrett
Publisher: Cambridge University Press
ISBN: 0521867568
Category: Mathematics
Page: 243
View: 4011
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Explains probability using genetics, sports, finance, current events and more.

Elementary Probability


Author: Edward O. Thorp
Publisher: Krieger Publishing Company
ISBN: 9780882753898
Category: Mathematics
Page: 152
View: 3058
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Elementary Probability Theory with Stochastic Processes


Author: K. L. Chung
Publisher: Springer Science & Business Media
ISBN: 1475739737
Category: Mathematics
Page: 325
View: 9370
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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.

Elementary Probability with Applications


Author: Larry Rabinowitz
Publisher: CRC Press
ISBN: 1351991671
Category: Mathematics
Page: 208
View: 9710
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Probability plays an essential role in making decisions in areas such as business, politics, and sports, among others. Professor Rabinowitz, based on many years of teaching, has created a textbook suited for classroom use as well as for self-study that is filled with hundreds of carefully chosen examples based on real-world case studies about sports, elections, drug testing, legal cases, population growth, business, and more. His approach is innovative, practical, and entertaining. Elementary Probability with Applications will serve to enhance classroom instruction, as well as benefit those who want to review the basics of probability at their own pace. The text is used at several colleges and for some high school classes.

Radically Elementary Probability Theory. (AM-117)


Author: Edward Nelson
Publisher: Princeton University Press
ISBN: 1400882141
Category: Mathematics
Page: 107
View: 3492
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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.

Radically Elementary Probability Theory


Author: Edward Nelson
Publisher: Princeton University Press
ISBN: 9780691084749
Category: Mathematics
Page: 97
View: 5947
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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.

Elementare Wahrscheinlichkeitstheorie und stochastische Prozesse


Author: Kai L. Chung
Publisher: Springer-Verlag
ISBN: 3642670334
Category: Mathematics
Page: 346
View: 382
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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 models and statistical inference


Author: Douglas George Chapman,Ronald A. Schaufele
Publisher: N.A
ISBN: N.A
Category: Mathematics
Page: 358
View: 388
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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.

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: 6579
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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.

Elementary Probability Theory


Author: Melvin Hausner
Publisher: Springer Science & Business Media
ISBN: 1461517532
Category: Mathematics
Page: 310
View: 2085
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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.

Lectures in Elementary Probability Theory and Stochastic Processes


Author: Jean-Claude Falmagne
Publisher: McGraw-Hill Science Engineering
ISBN: 9780072448900
Category: Mathematics
Page: 274
View: 7179
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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.

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: 5816
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Activities in elementary probability


Author: Daniel J. Fouch
Publisher: N.A
ISBN: N.A
Category: Mathematics
Page: 59
View: 2410
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Elementary Probability for the Biological Sciences


Author: James Emile Mosimann
Publisher: N.A
ISBN: N.A
Category: Biomathematics
Page: 255
View: 9050
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Elementary Probability with Applications


Author: Dylan Shi
Publisher: Nicholson
ISBN: 9781607971092
Category:
Page: 260
View: 9097
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Probability Theory I


Author: M. Loeve
Publisher: Springer Science & Business Media
ISBN: 9780387902104
Category: Mathematics
Page: 428
View: 4784
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This fourth edition contains several additions. The main ones con cern three closely related topics: Brownian motion, functional limit distributions, and random walks. Besides the power and ingenuity of their methods and the depth and beauty of their results, their importance is fast growing in Analysis as well as in theoretical and applied Proba bility. These additions increased the book to an unwieldy size and it had to be split into two volumes. About half of the first volume is devoted to an elementary introduc tion, then to mathematical foundations and basic probability concepts and tools. The second half is devoted to a detailed study of Independ ence which played and continues to playa central role both by itself and as a catalyst. The main additions consist of a section on convergence of probabilities on metric spaces and a chapter whose first section on domains of attrac tion completes the study of the Central limit problem, while the second one is devoted to random walks. About a third of the second volume is devoted to conditioning and properties of sequences of various types of dependence. The other two thirds are devoted to random functions; the last Part on Elements of random analysis is more sophisticated. The main addition consists of a chapter on Brownian motion and limit distributions.