Probability: Theory and Examples, Rick Durrett

Автор: Durrett
Название: Probability
ISBN: 0521765390 ISBN-13(EAN): 9780521765398
Издательство: Cambridge Academ
Цена: 66520 T
Наличие на складе: Поставка под заказ.
Описание: This classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the best way to learn probability is to see it in action, so there are 200 examples and 450 problems. The fourth edition begins with a short chapter on measure theory to orient readers new to the subject.

Автор: E. T. Jaynes
Название: Probability Theory
ISBN: 0521592712 ISBN-13(EAN): 9780521592710
Издательство: Cambridge Academ
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Цена: 114050.00 T
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Описание: A comprehensive introduction to the role of probability theory in general scientific endeavour. This book provides an original interpretation of probability theory, showing the subject to be an extension of logic, and presenting new results and applications. Ideal for scientists working in any area involving inference from incomplete information.

Автор: Mario Lefebvre
Название: Basic Probability Theory with Applications
ISBN: 0387749942 ISBN-13(EAN): 9780387749945
Издательство: Springer
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Цена: 69870.00 T
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Описание: Presents elementary probability theory with applications that illustrate the theory. This book reviews the basic elements of differential calculus which are used in the material to follow. It is suitable for students in pure and applied sciences such as mathematics, engineering, computer science, finance and economics.

Автор: Durrett, Rick
Название: Elementary probability for applications
ISBN: 0521867568 ISBN-13(EAN): 9780521867566
Издательство: Cambridge Academ
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Цена: 73920.00 T
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Описание: This is a perfect one-semester introduction to probability, for students who are familiar with basic calculus. The lively style reflects the author`s philosophy that the best way to learn probability is to see it in action, and he gives over 200 examples from genetics, sports, finance, and current events.

Автор: Freeman
Название: Examples in Finite Differences, Calculus and Probability
ISBN: 1316612783 ISBN-13(EAN): 9781316612781
Издательство: Cambridge Academ
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Цена: 22170.00 T
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Описание: Originally published in 1936, this detailed textbook is a companion to the 1931 publication An Elementary Treatise on Actuarial Mathematics and is intended to provide further examples for learning, practice and revision. Contained is a vast selection of examples on finite differences, calculus and probability, in the hope `that the supplement will prove of value to students.

Автор: Cox
Название: Applied Statistics - Principles and Examples
ISBN: 1138469548 ISBN-13(EAN): 9781138469549
Издательство: Taylor&Francis
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Цена: 193950.00 T
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Описание: This book should be of interest to senior undergraduate and postgraduate students of applied statistics.

Автор: Claire Montemar
Название: Probability Theory and Examples
ISBN: 1773613154 ISBN-13(EAN): 9781773613154
Издательство: Mare Nostrum (Eurospan)
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Цена: 155230.00 T
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Описание: The foundation of probability was laid down by two French mathematicians in the seventeenth century - Blaise Pascal and Pierre De Fermat. Later it was developed by Jakob Bernoulli, Abraham De Mover, and Pierre Simon Laplace. This book aims to help readers understand the amazing world of probability, and to explain how this subject have significance in real world problems.

Автор: Hongshik Ahn
Название: Probability and Statistics for Science and Engineering with Examples in R
ISBN: 1516513983 ISBN-13(EAN): 9781516513987
Издательство: Mare Nostrum (Eurospan)
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Цена: 76690.00 T
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Описание: Teaches students how to use R software to obtain summary statistics, calculate probabilities and quantiles, find confidence intervals, and conduct statistical testing. Based on years of classroom experience and extensively class-tested, this text is designed for one-semester courses in probability and statistics, and specifically for students in the natural sciences or engineering.

Автор: Honore Bo
Название: Advances in Economics and Econometrics vol I
ISBN: 1108400000 ISBN-13(EAN): 9781108400008
Издательство: Cambridge Academ
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Цена: 63350.00 T
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Описание: This first volume includes papers presented at the Eleventh World Congress of the Econometric Society, addressing topics such as dynamic mechanism design, agency problems, and networks.

Автор: Honore Bo
Название: Advances in Economics and Econometrics vol. II
ISBN: 1108400027 ISBN-13(EAN): 9781108400022
Издательство: Cambridge Academ
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Цена: 59130.00 T
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Описание: This second volume includes papers presented at the Eleventh World Congress of the Econometric Society, addressing topics such as big data, macroeconomics, financial markets, and partially identified models.

Автор: Gould, William
Название: The Mata book
ISBN: 159718263X ISBN-13(EAN): 9781597182638
Издательство: Taylor&Francis
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Цена: 61240.00 T
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Описание: The Mata Book: A Book for Serious Programmers and Those Who Want to Be is the book that Stata programmers have been waiting for. Mata is a serious programming language for developing small- and large-scale projects and for adding features to Stata.

Автор: Nahin Paul J.
Название: Digital Dice: Computational Solutions to Practical Probability Problems (New in Paperback)
ISBN: 0691158215 ISBN-13(EAN): 9780691158211
Издательство: Wiley
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Цена: 17940.00 T
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Описание: Some probability problems are so difficult that they stump the smartest mathematicians. But even the hardest of these problems can often be solved with a computer and a Monte Carlo simulation, in which a random-number generator simulates a physical process, such as a million rolls of a pair of dice. This is what Digital Dice is all about: how to ge

Автор: Gamerman, Dani.
Название: Markov Chain Monte Carlo
ISBN: 1584885874 ISBN-13(EAN): 9781584885870
Издательство: Taylor&Francis
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Цена: 102080.00 T
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Описание: Incorporating changes in theory and highlighting various applications, this book presents a comprehensive introduction to the methods of Markov Chain Monte Carlo (MCMC) simulation technique. It incorporates the developments in MCMC, including reversible jump, slice sampling, bridge sampling, path sampling, multiple-try, and delayed rejection.