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Probability: Theory, Examples, Problems, Simulations, Lisei Hannelore, Grecksch Wilfried, Iancu Mihai


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Автор: Lisei Hannelore, Grecksch Wilfried, Iancu Mihai
Название:  Probability: Theory, Examples, Problems, Simulations
ISBN: 9789811207198
Издательство: World Scientific Publishing
Классификация:
ISBN-10: 9811207194
Обложка/Формат: Paperback
Страницы: 364
Вес: 0.49 кг.
Дата издания: 09.03.2020
Серия: Mathematics
Язык: English
Размер: 229 x 152 x 22
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Probability & statistics, MATHEMATICS / Probability & Statistics / Bayesian Analysis,MATHEMATICS / Probability & Statistics / General,MATHEMATICS / Probability & Statistics / Stochastic
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Поставляется из: Англии
Описание: A key pedagogical feature of the textbook is the accessible approach to probability concepts through examples with explanations and problems with solutions. The reader is encouraged to simulate in Matlab random experiments and to explore the theoretical aspects of the probabilistic models behind the studied experiments. By this appropriate balance between simulations and rigorous mathematical approach, the reader can experience the excitement of comprehending basic concepts and can develop the intuitive thinking in solving problems. The current textbook does not contain proofs for the stated theorems, but corresponding references are given. Moreover, the given Matlab codes and detailed solutions make the textbook accessible to researchers and undergraduate students, by learning various techniques from probability theory and its applications in other fields. This book is intended not only for students of mathematics but also for students of natural sciences, engineering, computer science and for science researchers, who possess the basic knowledge of calculus for the mathematical concepts of the textbook and elementary programming skills for the Matlab simulations.


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.

Examples in Finite Differences, Calculus and Probability

Автор: Freeman
Название: Examples in Finite Differences, Calculus and Probability
ISBN: 1316612783 ISBN-13(EAN): 9781316612781
Издательство: Cambridge Academ
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Цена: 3326.00 р.
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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.

Inequalities and Extremal Problems in Probability and Statistics

Автор: Pinelis, Iosif
Название: Inequalities and Extremal Problems in Probability and Statistics
ISBN: 012809818X ISBN-13(EAN): 9780128098189
Издательство: Elsevier Science
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Цена: 13298.00 р.
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Описание:

Inequalities and Extremal Problems in Probability and Statistics: Selected Topics presents various kinds of useful inequalities that are applicable in many areas of mathematics, the sciences, and engineering. The book enables the reader to grasp the importance of inequalities and how they relate to probability and statistics.

This will be an extremely useful book for researchers and graduate students in probability, statistics, and econometrics, as well as specialists working across sciences, engineering, financial mathematics, insurance, and mathematical modeling of large risks.


  • Teaches users how to understand useful inequalities
  • Applicable across mathematics, sciences, and engineering
  • Presented by a team of leading experts
Stochastic Methods for Boundary Value Problems: Numerics for High-dimensional PDEs and Applications

Автор: Karl K. Sabelfeld, Nikolai A. Simonov
Название: Stochastic Methods for Boundary Value Problems: Numerics for High-dimensional PDEs and Applications
ISBN: 3110479060 ISBN-13(EAN): 9783110479065
Издательство: Walter de Gruyter
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Цена: 18586.00 р.
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Описание: This monograph is devoted to random walk based stochastic algorithms for solving high-dimensional boundary value problems of mathematical physics and chemistry. It includes Monte Carlo methods where the random walks live not only on the boundary, but also inside the domain. A variety of examples from capacitance calculations to electron dynamics in semiconductors are discussed to illustrate the viability of the approach.The book is written for mathematicians who work in the field of partial differential and integral equations, physicists and engineers dealing with computational methods and applied probability, for students and postgraduates studying mathematical physics and numerical mathematics. Contents: IntroductionRandom walk algorithms for solving integral equationsRandom walk-on-boundary algorithms for the Laplace equationWalk-on-boundary algorithms for the heat equationSpatial problems of elasticityVariants of the random walk on boundary for solving stationary potential problemsSplitting and survival probabilities in random walk methods and applicationsA random WOS-based KMC method for electron-hole recombinationsMonte Carlo methods for computing macromolecules properties and solving related problemsBibliography

Problems and Snapshots from the World of Probability

Автор: Gunnar Blom; Lars Holst; Dennis Sandell
Название: Problems and Snapshots from the World of Probability
ISBN: 0387941614 ISBN-13(EAN): 9780387941615
Издательство: Springer
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Цена: 12850.00 р.
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Описание: A collection of 125 problems and snapshots from discrete probability. It includes problems selected on the basis of their historical interest, and snapshots that provide overviews of topics in probability such as Markov chains, Poisson processes, random walks, patterns in random sequences, cover times, and embedding procedures.

Perplexing Problems in Probability

Автор: Maury Bramson; Richard T. Durrett
Название: Perplexing Problems in Probability
ISBN: 1461274427 ISBN-13(EAN): 9781461274421
Издательство: Springer
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Цена: 14673.00 р.
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Описание: The radical press of the Victorian era fostered daring literary experiments that helped shape mainstream literature. This book adds significantly to the study of Victorian literary culture by exploring the interplay between canonical social problem novels and journalism and fiction appearing in the periodical press associated with working-class protest.

Modeling Longitudinal and Multilevel Data: Practical Issues, Applied Approaches, and Specific Examples

Автор: Little Todd D., Schnabel Kai U., Baumert Jrgen
Название: Modeling Longitudinal and Multilevel Data: Practical Issues, Applied Approaches, and Specific Examples
ISBN: 113801253X ISBN-13(EAN): 9781138012530
Издательство: Taylor&Francis
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Цена: 8573.00 р.
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Описание: Experts on handling longitudinal & multiple-group data contribute various, practical, analytic approaches including SEM,LTA,GLM, and multi-level techniques.Includes helpful tips, applications and examples. Grad students & researchers in social & behavior

Probability: Theory, Examples, Problems, Simulations

Автор: Lisei Hannelore, Grecksch Wilfried, Iancu Mihai
Название: Probability: Theory, Examples, Problems, Simulations
ISBN: 9811205736 ISBN-13(EAN): 9789811205736
Издательство: World Scientific Publishing
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Цена: 15840.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A key pedagogical feature of the textbook is the accessible approach to probability concepts through examples with explanations and problems with solutions. The reader is encouraged to simulate in Matlab random experiments and to explore the theoretical aspects of the probabilistic models behind the studied experiments. By this appropriate balance between simulations and rigorous mathematical approach, the reader can experience the excitement of comprehending basic concepts and can develop the intuitive thinking in solving problems. The current textbook does not contain proofs for the stated theorems, but corresponding references are given. Moreover, the given Matlab codes and detailed solutions make the textbook accessible to researchers and undergraduate students, by learning various techniques from probability theory and its applications in other fields. This book is intended not only for students of mathematics but also for students of natural sciences, engineering, computer science and for science researchers, who possess the basic knowledge of calculus for the mathematical concepts of the textbook and elementary programming skills for the Matlab simulations.

Actuarial Mathematics for Life Contingent Risks

Автор: Dickson, David C. M.
Название: Actuarial Mathematics for Life Contingent Risks
ISBN: 1107044073 ISBN-13(EAN): 9781107044074
Издательство: Cambridge Academ
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Цена: 12514.00 р.
Наличие на складе: Поставка под заказ.

Описание: Actuarial Mathematics for Life Contingent Risks, 2nd edition, is the sole required text for the Society of Actuaries Exam MLC Fall 2015 and Spring 2016. It covers the entire syllabus for the SOA Exam MLC, including new sections for Spring 2016. It is ideal for university courses and for individuals preparing for professional actuarial examinations - especially the new, long-answer exam questions. Three leaders in actuarial science balance rigor with intuition and emphasize practical applications using computational techniques to provide a modern perspective on life contingencies and equip students for the products and risk structures of the future. The authors then develop a more contemporary outlook, introducing multiple state models, emerging cash flows and embedded options. The 210 exercises provide meaningful practice with both long-answer and multiple choice questions. Furthermore: • the book has been updated to include new material on discrete time Markov processes, on models involving joint lives, and on universal life insurance and participating traditional insurance • the Solutions Manual (ISBN 9781107620261), available for separate purchase, provides detailed solutions to the text's exercises.

Digital Dice: Computational Solutions to Practical Probability Problems (New in Paperback)

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: 2691.00 р.
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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

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.


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