Probability Theory: A Complete One-Semester Course, Dokuchaev Nikolai
Автор: Koralov Название: Theory of Probability and Random Processes ISBN: 3540254846 ISBN-13(EAN): 9783540254843 Издательство: Springer Рейтинг: Цена: 55890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A one-year course in probability theory and the theory of random processes, taught at Princeton University to undergraduate and graduate students, forms the core of the content of this bookIt is structured in two parts: the first part providing a detailed discussion of Lebesgue integration, Markov chains, random walks, laws of large numbers, limit theorems, and their relation to Renormalization Group theory. The second part includes the theory of stationary random processes, martingales, generalized random processes, Brownian motion, stochastic integrals, and stochastic differential equations. One section is devoted to the theory of Gibbs random fields.This material is essential to many undergraduate and graduate courses. The book can also serve as a reference for scientists using modern probability theory in their research.
Автор: Chace William M. Название: One Hundred Semesters: My Adventures as Student ISBN: 0691165882 ISBN-13(EAN): 9780691165882 Издательство: Wiley Рейтинг: Цена: 21120.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In One Hundred Semesters, William Chace mixes incisive analysis with memoir to create an illuminating picture of the evolution of American higher education over the past half century. Chace follows his own journey from undergraduate education at Haverford College to teaching at Stillman, a traditionally African-American college in Alabama, in the 1
Автор: Hastings Название: Introduction to Probability with Mathematica, Second Edition ISBN: 1420079387 ISBN-13(EAN): 9781420079388 Издательство: Taylor&Francis Рейтинг: Цена: 183750.00 T Наличие на складе: Невозможна поставка. Описание: Updated to conform to Mathematica (R) 7.0, this second edition shows how to easily create simulations from templates and solve problems using Mathematica. Along with new sections on order statistics, transformations of multivariate normal random variables, and Brownian motion, this edition offers an expanded section on
Автор: Rabi Bhattacharya; Edward C. Waymire Название: A Basic Course in Probability Theory ISBN: 3319479725 ISBN-13(EAN): 9783319479729 Издательство: Springer Рейтинг: Цена: 55890.00 T Наличие на складе: Поставка под заказ. Описание: This text develops the necessary background in probability theory underlying diverse treatments of stochastic processes and their wide-ranging applications.
Автор: Kai Lai Chung Название: A Course in Probability Theory, Revised Edition, ISBN: 0121741516 ISBN-13(EAN): 9780121741518 Издательство: Elsevier Science Рейтинг: Цена: 83080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is designed for undergraduate programs and students and can also be used as a first-year graduate text in probability. It offers a broad perspective, building on the synopsis of measure and integration offered in Chapter two.
Автор: Leadbetter Название: A Basic Course in Measure and Probability ISBN: 1107652529 ISBN-13(EAN): 9781107652521 Издательство: Cambridge Academ Рейтинг: Цена: 48570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This concise introduction covers all of the measure theory and probability most useful for statisticians. Originating from the authors` own graduate course, it is perfect for a two-term course or for self-study. It is especially useful to graduate students in related fields who want to shore up their mathematical foundation.
Автор: Leadbetter Название: A Basic Course in Measure and Probability ISBN: 1107020409 ISBN-13(EAN): 9781107020405 Издательство: Cambridge Academ Рейтинг: Цена: 132000.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This concise introduction covers all of the measure theory and probability most useful for statisticians. Originating from the authors` own graduate course, it is perfect for a two-term course or for self-study. It is especially useful to graduate students in related fields who want to shore up their mathematical foundation.
Автор: Gamerman, Dani. Название: Markov Chain Monte Carlo ISBN: 1584885874 ISBN-13(EAN): 9781584885870 Издательство: Taylor&Francis Рейтинг: Цена: 102080.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
Название: Probability Theory and Statistical Inference ISBN: 0521424089 ISBN-13(EAN): 9780521424080 Издательство: Cambridge Academ Рейтинг: Цена: 48570.00 T Наличие на складе: Поставка под заказ. Описание: This major new textbook from a distinguished econometrician is intended for students taking introductory courses in probability theory and statistical inference. No prior knowledge other than a basic familiarity with descriptive statistics is assumed. The primary objective of this book is to establish the framework for the empirical modelling of observational (non-experimental) data. This framework known as 'Probabilistic Reduction' is formulated with a view to accommodating the peculiarities of observational (as opposed to experimental) data in a unifying and logically coherent way. Probability Theory and Statistical Inference differs from traditional textbooks in so far as it emphasizes concepts, ideas, notions and procedures which are appropriate for modelling observational data. Aimed at students at second-year undergraduate level and above studying econometrics and economics, this textbook will also be useful for students in other disciplines which make extensive use of observational data, including finance, biology, sociology and psychology and climatology.
Автор: Lim Kian Guan Название: Probability and Finance Theory ISBN: 9814641928 ISBN-13(EAN): 9789814641920 Издательство: World Scientific Publishing Рейтинг: Цена: 85530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This Book Is An Introduction To The Mathematical Analysis Of Probability Theory And Provides Some Understanding Of How Probability Is Used To Model Random Phenomena Of Uncertainty, Specifically In The Context Of Finance Theory And Applications. The Integrated Coverage Of Both Basic Probability Theory And Finance Theory Makes This Book Useful Reading For Advanced Undergraduate Students Or For First-Year Postgraduate Students In A Quantitative Finance Course.The Book Provides Easy And Quick Access To The Field Of Theoretical Finance By Linking The Study Of Applied Probability And Its Applications To Finance Theory All In One Place. The Coverage Is Carefully Selected To Include Most Of The Key Ideas In Finance In The Last 50 Years.The Book Will Also Serve As A Handy Guide For Applied Mathematicians And Probabilists To Easily Access The Important Topics In Finance Theory And Economics. In Addition, It Will Also Be A Handy Book For Financial Economists To Learn Some Of The More Mathematical And Rigorous Techniques So Their Understanding Of Theory Is More Rigorous. It Is A Must Read For Advanced Undergraduate And Graduate Students Who Wish To Work In The Quantitative Finance Area.
Автор: Hasan & Tahar Название: Formalized Probability Theory And Applications Using Theorem Proving ISBN: 1466683155 ISBN-13(EAN): 9781466683150 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 189420.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Scientists and engineers often have to deal with systems that exhibit random or unpredictable elements and must effectively evaluate probabilities in each situation. Computer simulations, while the traditional tool used to solve such problems, are limited in the scale and complexity of the problems they can solve.Formalized Probability Theory and Applications Using Theorem Proving discusses some of the limitations inherent in computer systems when applied to problems of probabilistic analysis, and presents a novel solution to these limitations, combining higher-order logic with computer-based theorem proving. Combining practical application with theoretical discussion, this book is an important reference tool for mathematicians, scientists, engineers, and researchers in all STEM fields.
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