One Thousand Exercises In Probability

Author: Geoffrey Grimmett
Editor: Oxford University Press
ISBN: 9780198572213
Size: 20,64 MB
Format: PDF, ePub, Mobi
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This is an updated and greatly expanded version of an already well-established and popular exercise manual. It provides a wide-ranging selection of illuminating, informative and entertaining problems, together with their solution. Topics include modelling and many applications of probability theory, as well as theoretical aspects. There are questions at all ability levels, the majority being of elementary or intermediate standard. Well suited as a stand alone problems and solutions manual, it also is the companion volume for the text: Probability and Random Processes 3/e.

One Thousand Exercises In Probability

Author: David Stirzaker
Editor: Oxford University Press, USA
ISBN: 0198847610
Size: 18,65 MB
Format: PDF, Docs
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This third edition is a revised, updated, and greatly expanded version of previous edition of 2001. The 1300+ exercises contained within are not merely drill problems, but have been chosen to illustrate the concepts, illuminate the subject, and both inform and entertain the reader. A broad range of subjects is covered, including elementary aspects of probability and random variables, sampling, generating functions, Markov chains, convergence, stationary processes, renewals, queues, martingales, diffusions, L�vy processes, stability and self-similarity, time changes, and stochastic calculus including option pricing via the Black-Scholes model of mathematical finance. The text is intended to serve students as a companion for elementary, intermediate, and advanced courses in probability, random processes and operations research. It will also be useful for anyone needing a source for large numbers of problems and questions in these fields. In particular, this book acts as a companion to the authors' volume, Probability and Random Processes, fourth edition (OUP 2020).

Probability And Random Processes

Author: Geoffrey Grimmett
Editor: Oxford University Press
ISBN: 9780198572220
Size: 14,24 MB
Format: PDF, ePub
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This textbook provides a wide-ranging and entertaining indroduction to probability and random processes and many of their practical applications. It includes many exercises and problems with solutions.

Probability And Random Processes

Author: Director of Research and Professor Emeritus of Mathematical Statistics Geoffrey Grimmett
Editor: Oxford University Press, USA
ISBN: 9780198847595
Size: 14,24 MB
Format: PDF, ePub, Mobi
Read: 594
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Probability is a core topic in science and life. This successful self-contained volume leads the reader from the foundations of probability theory and random processes to advanced topics and it presents a mathematical treatment with many applications to real-life situations.

Probability And Statistics By Example

Author: Yuri Suhov
Editor: Cambridge University Press
ISBN: 1107603587
Size: 19,48 MB
Format: PDF, Mobi
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A valuable resource for students and teachers alike, this second edition contains more than 200 worked examples and exam questions.

Quantitative Methods

Author: Paolo Brandimarte
Editor: John Wiley & Sons
ISBN: 9781118023488
Size: 11,49 MB
Format: PDF, Mobi
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An accessible introduction to the essential quantitative methods for making valuable business decisions Quantitative methods-research techniques used to analyze quantitative data-enable professionals to organize and understand numbers and, in turn, to make good decisions. Quantitative Methods: An Introduction for Business Management presents the application of quantitative mathematical modeling to decision making in a business management context and emphasizes not only the role of data in drawing conclusions, but also the pitfalls of undiscerning reliance of software packages that implement standard statistical procedures. With hands-on applications and explanations that are accessible to readers at various levels, the book successfully outlines the necessary tools to make smart and successful business decisions. Progressing from beginner to more advanced material at an easy-to-follow pace, the author utilizes motivating examples throughout to aid readers interested in decision making and also provides critical remarks, intuitive traps, and counterexamples when appropriate. The book begins with a discussion of motivations and foundations related to the topic, with introductory presentations of concepts from calculus to linear algebra. Next, the core ideas of quantitative methods are presented in chapters that explore introductory topics in probability, descriptive and inferential statistics, linear regression, and a discussion of time series that includes both classical topics and more challenging models. The author also discusses linear programming models and decision making under risk as well as less standard topics in the field such as game theory and Bayesian statistics. Finally, the book concludes with a focus on selected tools from multivariate statistics, including advanced regression models and data reduction methods such as principal component analysis, factor analysis, and cluster analysis. The book promotes the importance of an analytical approach, particularly when dealing with a complex system where multiple individuals are involved and have conflicting incentives. A related website features Microsoft Excel® workbooks and MATLAB® scripts to illustrate concepts as well as additional exercises with solutions. Quantitative Methods is an excellent book for courses on the topic at the graduate level. The book also serves as an authoritative reference and self-study guide for financial and business professionals, as well as readers looking to reinforce their analytical skills.

Fundamental Probability

Author: Marc S. Paolella
Editor: John Wiley & Sons Incorporated
ISBN:
Size: 12,10 MB
Format: PDF, ePub
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This publication provides an introduction to the theory and techniques of probability and grew from a set of notes written by the author to accompany a two semester course consisting of senior undergraduate and first year graduate students from quantitative business (50%), economics (40%) and mathematics (10%).