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One thousand exercises in probability th, Grimmett, Professor Geoffrey R. Grimmett Geoffrey Grimmett (director Of Research And Professor Emeritus Of Mathematical Statistics, Director Of Resear


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Цена: 6255.00р.
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Автор: Grimmett, Professor Geoffrey R. Grimmett Geoffrey Grimmett (director Of Research And Professor Emeritus Of Mathematical Statistics, Director Of Resear
Название:  One thousand exercises in probability th
ISBN: 9780198847618
Издательство: Oxford Academ
Классификация:

ISBN-10: 0198847610
Обложка/Формат: Paperback
Страницы: 592
Вес: 0.91 кг.
Дата издания: 17.07.2020
Язык: English
Издание: 3 revised edition
Размер: 241 x 171 x 30
Читательская аудитория: General (us: trade)
Подзаголовок: Third edition
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: This volume of more than 1300 exercises and solutions in probability theory has two roles. It is both a freestanding book of exercises and solutions in probability theory, and a manual for students and teachers covering the exercises and problems in the companion volume Probability and Random Processes (4th edition).


      Старое издание
One thousand exercises in probability

Автор: Grimmett, Geoffrey Stirzaker, David
Название: One thousand exercises in probability
ISBN: 0198572212 ISBN-13(EAN): 9780198572213
Издательство: Oxford Academ
Цена: 7522.00 р.
Наличие на складе: Поставка под заказ.
Описание: Provides a selection of informative problems, together with their solution. This edition of the popular exercise manual includes modeling 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.


Probability Theory

Автор: E. T. Jaynes
Название: Probability Theory
ISBN: 0521592712 ISBN-13(EAN): 9780521592710
Издательство: Cambridge Academ
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Цена: 17107.00 р.
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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.

Counterfactuals and Causal Inference

Автор: Morgan
Название: Counterfactuals and Causal Inference
ISBN: 1107694167 ISBN-13(EAN): 9781107694163
Издательство: Cambridge Academ
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Цена: 5702.00 р.
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Описание: Cause-and-effect questions are the motivation for most research in the social, demographic, and health sciences. The counterfactual approach to causal analysis represents a unified framework for the prosecution of these questions. This second edition aims to convince more social scientists to take this approach when analyzing these core empirical questions.

Probability and Statistics for Engineering and the Sciences

Автор: Devore Jay L.
Название: Probability and Statistics for Engineering and the Sciences
ISBN: 1337094269 ISBN-13(EAN): 9781337094269
Издательство: Cengage Learning
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Цена: 10770.00 р.
Наличие на складе: Нет в наличии.

Описание: Put statistical theories into practice with PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9E, INTERNATIONAL METRIC EDITION. Always a market favorite, this calculus-based book offers a comprehensive introduction to probability and statistics while demonstrating how to apply concepts, models, and methodologies in today's engineering and scientific workplaces. Jay Devore, an award-winning professor and internationally recognized author and statistician, stresses lively examples and engineering activities to drive home the numbers without exhaustive mathematical development and derivations.

Many examples, practice problems, sample tests, and simulations based on real data and issues help you build a more intuitive connection to the material. A proven and accurate book, PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9E, INTERNATIONAL METRIC EDITION also includes graphics and screen shots from SAS (R), MINITAB (R), and Java (TM) Applets to give you a solid perspective of statistics in action.

Mathematical modeling and computation in finance: with exercises and python and matlab computer codes

Автор: Oosterlee, Cornelis W (delft Univ Of Tech, The Netherlands & Centrum Wiskunde & Informatica (cwi), The Netherlands) Grzelak, Lech A. (delft Univ Of Te
Название: Mathematical modeling and computation in finance: with exercises and python and matlab computer codes
ISBN: 1786348055 ISBN-13(EAN): 9781786348050
Издательство: World Scientific Publishing
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Цена: 8712.00 р.
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Описание: This book discusses the interplay of stochastics (applied probability theory) and numerical analysis in the field of quantitative finance. The stochastic models, numerical valuation techniques, computational aspects, financial products, and risk management applications presented will enable readers to progress in the challenging field of computational finance.When the behavior of financial market participants changes, the corresponding stochastic mathematical models describing the prices may also change. Financial regulation may play a role in such changes too. The book thus presents several models for stock prices, interest rates as well as foreign-exchange rates, with increasing complexity across the chapters. As is said in the industry, 'do not fall in love with your favorite model.' The book covers equity models before moving to short-rate and other interest rate models. We cast these models for interest rate into the Heath-Jarrow-Morton framework, show relations between the different models, and explain a few interest rate products and their pricing.The chapters are accompanied by exercises. Students can access solutions to selected exercises, while complete solutions are made available to instructors. The MATLAB and Python computer codes used for most tables and figures in the book are made available for both print and e-book users. This book will be useful for people working in the financial industry, for those aiming to work there one day, and for anyone interested in quantitative finance. The topics that are discussed are relevant for MSc and PhD students, academic researchers, and for quants in the financial industry.Supplementary Material: Solutions Manual is available to instructors who adopt this textbook for their courses. Please contact sales@wspc.com.

Weighing the odds

Автор: David Williams
Название: Weighing the odds
ISBN: 052100618X ISBN-13(EAN): 9780521006187
Издательство: Cambridge Academ
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Цена: 11880.00 р.
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Описание: A lively book enriched with examples drawn from all manner of applications. Statistics chapters present both the Frequentist and Bayesian approaches, emphasising Confidence Intervals rather than Hypothesis Tests. C or WinBUGS code is provided for computational examples and simulations. Many exercises are included; hints or solutions are often provided.

Advances in Economics and Econometrics vol. II

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: 8870.00 р.
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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.

Advances in Economics and Econometrics vol I

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: 9502.00 р.
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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.

The Mata book

Автор: Gould, William
Название: The Mata book
ISBN: 159718263X ISBN-13(EAN): 9781597182638
Издательство: Taylor&Francis
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Цена: 9186.00 р.
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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.

Cambridge international as & a level mathematics: probability & statistics 1 practice book

Название: Cambridge international as & a level mathematics: probability & statistics 1 practice book
ISBN: 1108444903 ISBN-13(EAN): 9781108444903
Издательство: Cambridge Education
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Цена: 3213.00 р.
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Описание: This series has been developed specifically for the Cambridge International AS & A Level Mathematics (9709) syllabus to be examined from 2020.

Exercises in Probability

Автор: Chaumont
Название: Exercises in Probability
ISBN: 1107606551 ISBN-13(EAN): 9781107606555
Издательство: Cambridge Academ
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Цена: 8870.00 р.
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Описание: Ideal for independent study or as a companion to a course in advanced probability theory, this book now includes over 100 exercises. In each case, the authors provide a detailed solution and references for preliminary and further reading. Insightful notes help to set the exercises in context.

Introduction to Probability, Second Edition

Автор: Joseph K. Blitzstein, Jessica Hwang
Название: Introduction to Probability, Second Edition
ISBN: 1138369918 ISBN-13(EAN): 9781138369917
Издательство: Taylor&Francis
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Цена: 11176.00 р.
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Описание: Assumes one-semester of calculus. "Stories" make distributions (Normal, Binomial, Poisson that are widely-used in statistics) easier to remember, understand. Many books write down formulas without explaining clearly why these particular distributions are important or how they are all connected.

Computer Age Statistical Inference

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.


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