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Statistics of Random Processes / I. General Theory, Liptser Robert S., Shiryaev Albert N., Aries B.


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Автор: Liptser Robert S., Shiryaev Albert N., Aries B.
Название:  Statistics of Random Processes / I. General Theory
Перевод названия: Роберт Липстер: Статистика случайных процессов. Общая теория
ISBN: 9783540639299
Издательство: Springer
Классификация:

ISBN-10: 3540639292
Обложка/Формат: Hardback
Страницы: 442
Вес: 0.81 кг.
Дата издания: 06.11.2000
Серия: Stochastic Modelling and Applied Probability
Язык: English
Издание: 2 rev ed
Размер: 24.16 x 16.56 x 3.02
Читательская аудитория: Postgraduate, research & scholarly
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: The subject of these two volumes is non-linear filtering (prediction and smoothing) theory and its application to the problem of optimal estimation, control with incomplete data, information theory, and sequential testing of hypothesis. The book is not only addressed to mathematicians but should also serve the interests of other scientists who apply probabilistic and statistical methods in their work. The theory of martingales presented in the book has an independent interest in connection with problems from financial mathematics. In the second edition, the authors have made numerous corrections, updating every chapter, adding two new subsections devoted to the Kalman filter under wrong initial conditions, as well as a new chapter devoted to asymptotically optimal filtering under diffusion approximation. Moreover, in each chapter a comment is added about the progress of recent years.
Дополнительное описание: Формат: 235x155
Круг читателей: Students and researchers
Ключевые слова: Conditionally Gaussian
Filtering
Incomplete Data Control
Martingale
Point Process
Язык: rus
Издание: 2nd rev. and exp. ed.
Оглавление: Essentials of probability theory and mathematical statistics.- Martingales and related processes.- Martingales and supermartingales: continuous time.- The Wiener process, the stochastic integral over the Wiener process, and stochastic differential equations.- Square integrable martingales, and structure of the functionals on a Wiener process.- Nonnegative supermartingales and martingales, and the Girsanovs theorem.- Absolute continuity of measures corresponding to the Ito processes and processes of diffusion type.- General equations of optimal nonlinear filtering, interpolation and extrapolation of partially observable random processes.- Optimal filtering, interpolation and extrapolation of Markov processes with countable number of states.- Optimal linear nonstationary filtering.



Stochastic Processes

Автор: Gallager
Название: Stochastic Processes
ISBN: 1107039754 ISBN-13(EAN): 9781107039759
Издательство: Cambridge Academ
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Цена: 74970.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This definitive textbook provides a solid introduction to stochastic processes, covering both theory and applications. It is written by one of the world`s leading information theorists, evolving over twenty years of graduate classroom teaching, and is accompanied by over 300 exercises, with online solutions for instructors.

Statistics of Random Processes / II. Applications

Автор: Liptser Robert S., Shiryaev Albert N., Aries A.B.
Название: Statistics of Random Processes / II. Applications
ISBN: 3540639284 ISBN-13(EAN): 9783540639282
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The subject of these two volumes is non-linear filtering (prediction and smoothing) theory and its application to the problem of optimal estimation, control with incomplete data, information theory, and sequential testing of hypothesis. The book is not only addressed to mathematicians but should also serve the interests of other scientists who apply probabilistic and statistical methods in their work. The theory of martingales presented in the book has an independent interest in connection with problems from financial mathematics. In the second edition, the authors have made numerous corrections, updating every chapter, adding two new subsections devoted to the Kalman filter under wrong initial conditions, as well as a new chapter devoted to asymptotically optimal filtering under diffusion approximation. Moreover, in each chapter a comment is added about the progress of recent years.

Introduction To The Theory of Statistics

Автор: Mood
Название: Introduction To The Theory of Statistics
ISBN: 0070854653 ISBN-13(EAN): 9780070854659
Издательство: McGraw-Hill
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Цена: 57190.00 T
Наличие на складе: Невозможна поставка.
Описание: A self contained introduction to classical statistical theory. The material is suitable for students who have successfully completed a single year`s course in calculus with no prior knowledge of statistics or probability. Third revised edition.

Teach yourself statistics

Автор: Graham, Alan
Название: Teach yourself statistics
ISBN: 0340966165 ISBN-13(EAN): 9780340966167
Издательство: Hodder Arnold
Рейтинг:
Цена: 10550.00 T
Наличие на складе: Нет в наличии.
Описание: Nearly all aspects of our lives can be subject to statistical analysis. Teach Yourself Statistics will show you how to interpret, analyse and present figures.

Introductory Statistics,

Автор: Sheldon M. Ross
Название: Introductory Statistics,
ISBN: 0123743885 ISBN-13(EAN): 9780123743886
Издательство: Elsevier Science
Рейтинг:
Цена: 84990.00 T
Наличие на складе: Невозможна поставка.
Описание:

Introductory Statistics, Third Edition, presents statistical concepts and techniques in a manner that will teach students not only how and when to utilize the statistical procedures developed, but also to understand why these procedures should be used. This book offers a unique historical perspective, profiling prominent statisticians and historical events in order to motivate learning.

To help guide students towards independent learning, exercises and examples using real issues and real data (e.g., stock price models, health issues, gender issues, sports, scientific fraud) are provided. The chapters end with detailed reviews of important concepts and formulas, key terms, and definitions that are useful study tools. Data sets from text and exercise material are available for download in the text website.

This text is designed for introductory non-calculus based statistics courses that are offered by mathematics and/or statistics departments to undergraduate students taking a semester course in basic Statistics or a year course in Probability and Statistics.


  • Unique historical perspective profiling prominent statisticians and historical events to motivate learning by providing interest and context
  • Use of exercises and examples helps guide the student towards indpendent learning using real issues and real data, e.g. stock price models, health issues, gender issues, sports, scientific fraud.
  • Summary/Key Terms- chapters end with detailed reviews of important concepts and formulas, key terms and definitions which are useful to students as study tools

Introduction To The Theory Of Random Processes (Graduate Studies In Mathematics)

Автор: Krylov
Название: Introduction To The Theory Of Random Processes (Graduate Studies In Mathematics)
ISBN: 0821829858 ISBN-13(EAN): 9780821829851
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 36790.00 T
Наличие на складе: Невозможна поставка.
Описание: Discusses the theory of stochastic processes. This book presents basics of discrete time martingales. It includes such topics as Wiener process, stationary processes, infinitely divisible processes, and Ito stochastic equations.

Elementary Probability Theory / With Stochastic Processes and an Introduction to Mathematical Finance

Автор: Chung K. L., AitSahlia Farid
Название: Elementary Probability Theory / With Stochastic Processes and an Introduction to Mathematical Finance
ISBN: 038795578X ISBN-13(EAN): 9780387955780
Издательство: Springer
Рейтинг:
Цена: 69870.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides an introduction to probability theory and its applications.

Theory of Probability and Random Processes

Автор: Koralov
Название: Theory of Probability and Random Processes
ISBN: 3540254846 ISBN-13(EAN): 9783540254843
Издательство: Springer
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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.

Stochastic processes

Автор: Parzen, Emanuel
Название: Stochastic processes
ISBN: 0898714419 ISBN-13(EAN): 9780898714418
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 64370.00 T
Наличие на складе: Поставка под заказ.
Описание: This introductory textbook explains how and why probability models are applied to scientific fields such as medicine, biology, physics, oceanography, economics, and psychology to solve problems about stochastic processes. It does not just show how a problem is solved but explains why by formulating questions and first steps in the solutions.

Financial modelling with jump processes

Автор: Cont, Tankov
Название: Financial modelling with jump processes
ISBN: 1584884134 ISBN-13(EAN): 9781584884132
Издательство: Taylor&Francis
Рейтинг:
Цена: 117390.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents an overview of the theoretical, numerical, and empirical aspects of using jump processes in financial modeling. This book demonstrates that the concepts and tools necessary for understanding and implementing models with jumps can be more intuitive that those involved in the Black Scholes and diffusion models.


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