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Stochastic Models, Statistics and Their Applications, Ansgar Steland; Ewaryst Rafaj?owicz; Ostap Okhrin


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Автор: Ansgar Steland; Ewaryst Rafaj?owicz; Ostap Okhrin
Название:  Stochastic Models, Statistics and Their Applications
ISBN: 9783030286675
Издательство: Springer
Классификация:



ISBN-10: 3030286673
Обложка/Формат: Soft cover
Страницы: 450
Вес: 0.84 кг.
Дата издания: 2019
Серия: Springer Proceedings in Mathematics & Statistics
Язык: English
Иллюстрации: XVI, 450 p. 85 illus., 46 illus. in color.
Читательская аудитория: Science
Основная тема: Statistics
Подзаголовок: Dresden, Germany, March 2019
Ссылка на Издательство: Link
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Поставляется из: Германии


Stochastic Differential Equations

Автор: Oksendal
Название: Stochastic Differential Equations
ISBN: 3540047581 ISBN-13(EAN): 9783540047582
Издательство: Springer
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Цена: 5756.00 р. 8223.00 -30%
Наличие на складе: Есть (1 шт.)
Описание: Gives an introduction to the basic theory of stochastic calculus and its applications. This book offers examples in order to motivate and illustrate the theory and show its importance for many applications in for example economics, biology and physics.

Matrix Differential Calculus with Applications in Statistics and Econometrics

Автор: Jan R. Magnus, Heinz Neudecker
Название: Matrix Differential Calculus with Applications in Statistics and Econometrics
ISBN: 1119541204 ISBN-13(EAN): 9781119541202
Издательство: Wiley
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Цена: 14090.00 р.
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Описание:

A brand new, fully updated edition of a popular classic on matrix differential calculus with applications in statistics and econometrics

This exhaustive, self-contained book on matrix theory and matrix differential calculus provides a treatment of matrix calculus based on differentials and shows how easy it is to use this theory once you have mastered the technique. Jan Magnus, who, along with the late Heinz Neudecker, pioneered the theory, develops it further in this new edition and provides many examples along the way to support it.

Matrix calculus has become an essential tool for quantitative methods in a large number of applications, ranging from social and behavioral sciences to econometrics. It is still relevant and used today in a wide range of subjects such as the biosciences and psychology. Matrix Differential Calculus with Applications in Statistics and Econometrics, Third Edition contains all of the essentials of multivariable calculus with an emphasis on the use of differentials. It starts by presenting a concise, yet thorough overview of matrix algebra, then goes on to develop the theory of differentials. The rest of the text combines the theory and application of matrix differential calculus, providing the practitioner and researcher with both a quick review and a detailed reference.

  • Fulfills the need for an updated and unified treatment of matrix differential calculus
  • Contains many new examples and exercises based on questions asked of the author over the years
  • Covers new developments in field and features new applications
  • Written by a leading expert and pioneer of the theory
  • Part of the Wiley Series in Probability and Statistics

Matrix Differential Calculus With Applications in Statistics and Econometrics Third Edition is an ideal text for graduate students and academics studying the subject, as well as for postgraduates and specialists working in biosciences and psychology.

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.

Stochastic Models, Statistics and Their Applications

Автор: Ansgar Steland; Ewaryst Rafaj?owicz; Krzysztof Sza
Название: Stochastic Models, Statistics and Their Applications
ISBN: 3319138804 ISBN-13(EAN): 9783319138800
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Preliminary: Part I: Stochastic Models.- Part II: Statistics.- Part III: Applications.

Stochastic Models, Statistics and Their Applications

Автор: Ansgar Steland; Ewaryst Rafaj?owicz; Krzysztof Sza
Название: Stochastic Models, Statistics and Their Applications
ISBN: 3319366181 ISBN-13(EAN): 9783319366180
Издательство: Springer
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Цена: 20962.00 р.
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Описание:

This volume presents the latest advances and trends in stochastic models and related statistical procedures. Selected peer-reviewed contributions focus on statistical inference, quality control, change-point analysis and detection, empirical processes, time series analysis, survival analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design, and stochastic models in engineering.

Stochastic models and related statistical procedures play an important part in furthering our understanding of the challenging problems currently arising in areas of application such as the natural sciences, information technology, engineering, image analysis, genetics, energy and finance, to name but a few.

This collection arises from the 12th Workshop on Stochastic Models, Statistics and Their Applications, Wroclaw, Poland.

Stochastic Models, Statistics and Their Applications

Автор: Ansgar Steland; Ewaryst Rafaj?owicz; Ostap Okhrin
Название: Stochastic Models, Statistics and Their Applications
ISBN: 3030286649 ISBN-13(EAN): 9783030286644
Издательство: Springer
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Цена: 20962.00 р.
Наличие на складе: Поставка под заказ.

Описание: This volume presents selected and peer-reviewed contributions from the 14th Workshop on Stochastic Models, Statistics and Their Applications, held in Dresden, Germany, on March 6-8, 2019. Addressing the needs of theoretical and applied researchers alike, the contributions provide an overview of the latest advances and trends in the areas of mathematical statistics and applied probability, and their applications to high-dimensional statistics, econometrics and time series analysis, statistics for stochastic processes, statistical machine learning, big data and data science, random matrix theory, quality control, change-point analysis and detection, finance, copulas, survival analysis and reliability, sequential experiments, empirical processes, and microsimulations. As the book demonstrates, stochastic models and related statistical procedures and algorithms are essential to more comprehensively understanding and solving present-day problems arising in e.g. the natural sciences, machine learning, data science, engineering, image analysis, genetics, econometrics and finance.

Stochastic Models With Applications To Genetics, Cancers, Aids And Other Biomedical Systems (Second Edition)

Автор: Tan Wai-Yuan
Название: Stochastic Models With Applications To Genetics, Cancers, Aids And Other Biomedical Systems (Second Edition)
ISBN: 9814390941 ISBN-13(EAN): 9789814390941
Издательство: World Scientific Publishing
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Цена: 26136.00 р.
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Описание: Presents a systematic treatment of Markov chains, diffusion processes and state space models, as well as alternative approaches to Markov chains through stochastic difference equations and stochastic differential equations. This title illustrates how these processes and approaches are applied to many problems in genetics, carcinogenesis, and more.

Random Fields and Stochastic Lagrangian Models: Analysis and Applications in Turbulence and Porous Media

Автор: Karl K. Sabelfeld, Nikolai A. Simonov
Название: Random Fields and Stochastic Lagrangian Models: Analysis and Applications in Turbulence and Porous Media
ISBN: 3110296640 ISBN-13(EAN): 9783110296648
Издательство: Walter de Gruyter
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Цена: 27884.00 р.
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Описание: Probabilistic approach and stochastic simulation become more and more popular in all branches of science and technology, especially in problems where the data are randomly fluctuating, or they are highly irregular in deterministic sense.

A History of Probability and Statistics and Their Applications before 1750

Автор: Anders Hald
Название: A History of Probability and Statistics and Their Applications before 1750
ISBN: 0471471291 ISBN-13(EAN): 9780471471295
Издательство: Wiley
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Цена: 22802.00 р.
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Описание: Statistics have helped shape every area of science. Without the means to analyze critical data, none of the great disoveries of the past would be possible. This paperback reprint of a Wiley bestseller shows the development of these data analysis tools and the manner in which they aided technological development prior to 1750.

Weak Convergence of Stochastic Processes: With Applications to Statistical Limit Theorems

Автор: Vidyadhar S. Mandrekar
Название: Weak Convergence of Stochastic Processes: With Applications to Statistical Limit Theorems
ISBN: 3110475421 ISBN-13(EAN): 9783110475425
Издательство: Walter de Gruyter
Цена: 11148.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The purpose of this book is to present results on the subject of weak convergence in function spaces to study invariance principles in statistical applications to dependent random variables, U-statistics, censor data analysis. Different techniques, formerly available only in a broad range of literature, are for the first time presented here in a self-contained fashion. Contents:Weak convergence of stochastic processesWeak convergence in metric spacesWeak convergence on C[0, 1] and D[0,?)Central limit theorem for semi-martingales and applicationsCentral limit theorems for dependent random variablesEmpirical processBibliography

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

Introduction To Stochastic Calculus With Applications (3Rd Edition)

Автор: Klebaner Fima C
Название: Introduction To Stochastic Calculus With Applications (3Rd Edition)
ISBN: 1848168314 ISBN-13(EAN): 9781848168312
Издательство: World Scientific Publishing
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Цена: 12830.00 р.
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Описание: Presents a treatment of stochastic calculus. This title gives its main applications in finance, biology and engineering. It presents the theory of stochastic calculus and its applications to an audience which possesses only a basic knowledge of calculus and probability.


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