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Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists, Simon Marvin K., Riedel Eibe


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Цена: 6544р.
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Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Англия: 837 шт.  Склад Америка: 128 шт.  
При оформлении заказа до: 25 окт 2019
Ориентировочная дата поставки: конец Ноября

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Автор: Simon Marvin K., Riedel Eibe
Название:  Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists   (Марвин К. Саймон: Распределения вероятности гауссовских случайных величин / Справочник для инженеров)
Издательство: Springer
Классификация:
Вероятность и статистика
Прикладная математика
Технический дизайн
Электронная техника
Техника связи / телекоммуникация
Системное управление

ISBN: 0387346570
ISBN-13(EAN): 9780387346571
ISBN: 0-387-34657-0
ISBN-13(EAN): 978-0-387-34657-1
Обложка/Формат: Paperback
Страницы: 200
Вес: 0.73 кг.
Дата издания: 2006
Язык: ENG
Издание: 1st ed. 2002. 2nd pr
Иллюстрации: 116 tables, black and white; xxiv, 200 p.
Размер: 23.42 x 15.60 x 1.30 cm
Читательская аудитория: Professional & vocational
Подзаголовок: A handbook for engineers and scientists
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: This handbook brings together a comprehensive collection of mathematical material in one location. It also offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians.
Дополнительное описание: Формат: 235x155
Круг читателей: Engineers, scientists, and applied mathematicians
Ключевые слова: Gaussian
Stochastic
Digital communication
Pattern recognition
Image processing
Spread spectrum
Random processes
Chi-square
Random variables
Rayleigh distribution
Log-normal variables
Q-function
Probability and statistics
Wireless communication
Modulation and detection
Signal processing
Optical communications
Mobile communications
Acoustic communications
Telecommunications systems
Marcum
Rician distribution
Язык: eng
Издание: 1st ed. 2002. 2nd printin





      Старое издание
Probability distributions involving Gaussian random variables

Автор: Simon, Marvin Kenneth,
Название: Probability distributions involving Gaussian random variables
ISBN: 1402070586 ISBN-13(EAN): 9781402070587
Издательство: Springer
Цена: 5325 р.
Наличие на складе: Невозможна поставка.
Описание: This book is intended for use by students, academicians and practicing engineers who in the course of their daily study or research have need for the probability distributions and associated statistics of random variables that are themselves Gaussian or in various forms derived from them. The format of the book is primarily that of a handbook in that, for the most part, the results are merely presented in their final form without derivation or discussion. As such the reader must rely on the typographical accuracy of the documented expressions, which the author has taken great pains to assure. Also included at the end of the book are numerous curves illustrating the behavior of a variety of the probability measures presented in mathematical form. The author wishes to acknowledge his many colleagues in industry and academia for the encouragement and support they provided for this project without which it might never have gotten started. INTRODUCTION There are certain reference works that engineers and scientists alike find invaluable in their day-to-day work activities. Many of these reference volumes are of a generic nature such as tables of integrals, tables of series, handbooks of mathematical formulas and transforms, etc. (see Refs. 1, 2, 3, and 4 for example), whereas others are collections of technical papers and textbooks that directly relate to the individual's specific field of specialty.


Random Variables and Probability Distributions

Автор: H. Cramer
Название: Random Variables and Probability Distributions
ISBN: 0521604869 ISBN-13(EAN): 9780521604864
Издательство: Cambridge Academ
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Цена: 3225 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This tract develops the purely mathematical side of the theory of probability, without reference to any applications. When originally published, it was one of the earliest works in the field built on the axiomatic foundations introduced by A. Kolmogoroff in his book Grundbegriffe der Wahrscheinlichkeitsrechnung, thus treating the subject as a branch of the theory of completely additive set functions. The author restricts himself to a consideration of probability distributions in spaces of a finite number of dimensions, and to problems connected with the Central Limit Theorem and some of its generalizations and modifications. In this edition the chapter on Liapounoff’s theorem has been partly rewritten, and now includes a proof of the important inequality due to Berry and Esseen. The terminology has been modernized, and several minor changes have been made.

Word Frequency Distributions

Автор: Baayen R. Harald
Название: Word Frequency Distributions
ISBN: 1402009275 ISBN-13(EAN): 9781402009273
Издательство: Springer
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Цена: 6073 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book is a comprehensive introduction to the statistical analysis of word frequency distributions, intended for computational linguists, corpus linguists, psycholinguists, and researchers in the field of quantitative stylistics. Word frequency distributions are characterized by very large numbers of rare words. This property leads to strange phenomena such as mean frequencies that systematically change as the number of observations is increased, relative frequencies that even in large samples are not fully reliable estimators of population probabilities, and model parameters that vary with text or corpus size. Special statistical techniques for the analysis of distributions with large numbers of rare events can be found in various technical journals. The aim of this book is to make these techniques more accessible for non-specialists, both theoretically, by means of a careful introduction to the underlying probabilistic and statistical concepts, and practically, by providing a program library implementing the main models for word frequency distributions.

Word Frequency Distributions

Автор: Baayen R. Harald
Название: Word Frequency Distributions
ISBN: 0792370171 ISBN-13(EAN): 9780792370178
Издательство: Springer
Рейтинг:
Цена: 13089 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book is a comprehensive introduction to the statistical analysis of word frequency distributions, intended for computational linguists, corpus linguists, psycholinguists, and researchers in the field of quantitative stylistics. Word frequency distributions are characterized by very large numbers of rare words. This property leads to strange phenomena such as mean frequencies that systematically change as the number of observations is increased, relative frequencies that even in large samples are not fully reliable estimators of population probabilities, and model parameters that vary with text or corpus size. Special statistical techniques for the analysis of distributions with large numbers of rare events can be found in various technical journals. The aim of this book is to make these techniques more accessible for non-specialists, both theoretically, by means of a careful introduction to the underlying probabilistic and statistical concepts, and practically, by providing a program library implementing the main models for word frequency distributions.

Handbook of Exponential and Related Distributions for Engineers and Scientists

Автор: Nabendu Pal, Chun Jin and Wooi K. Lim
Название: Handbook of Exponential and Related Distributions for Engineers and Scientists
ISBN: 1584881380 ISBN-13(EAN): 9781584881384
Издательство: Taylor&Francis
Рейтинг:
Цена: 5955 р.
Наличие на складе: Поставка под заказ.

Описание: Relying heavily on simulations and illustrations, this book begins with the basic mathematical and statistical background necessary to select the correct distribution to model real-world data sets. It then examine four skewed distributions in detail: exponential, gamma, Weibull, and extreme value.

Partial Identification of Probability Distributions

Автор: Manski Charles F.
Название: Partial Identification of Probability Distributions
ISBN: 0387004548 ISBN-13(EAN): 9780387004549
Издательство: Springer
Рейтинг:
Цена: 12154 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Presents the studies of identification that aim to characterize the conclusions that one could draw about a population of interest if one were able to observe a sample of unlimited size generated by a specified sampling process. This book is suitable for PhD students and practicing statisticians and econometricians.

Handbook of Heavy Tailed Distributions in Finance,1

Автор: S.T Rachev
Название: Handbook of Heavy Tailed Distributions in Finance,1
ISBN: 0444508961 ISBN-13(EAN): 9780444508966
Издательство: Elsevier Science
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Цена: 13932 р.
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Описание: Intended for finance and economics professors and lecturers, professional researchers, and graduate students, this volume presents research focusing on heavy tailed distributions in finance. It covers methodological issues, as well as the applications of the stable and other non-Gaussian models in finance and risk management.

The Measurement of Market Risk / Modelling of Risk Factors, Asset Pricing, and Approximation of Portfolio Distributions

Автор: Moix Pierre-Yves
Название: The Measurement of Market Risk / Modelling of Risk Factors, Asset Pricing, and Approximation of Portfolio Distributions
ISBN: 3540421432 ISBN-13(EAN): 9783540421436
Издательство: Springer
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Цена: 15427 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The objective of this book is to set up an economic quantitative model for the assessment of financial market risk. The Measurement of Market Risk reviews the probabilistic modelling of so-called risk factors, which represent the uncertainty of financial markets, and discusses the issue of risk as the perception of uncertainty by individuals when faced with a decision problem. Further, the book discusses the pricing of financial instruments as a function of risk factors. Emphasis is put on options, because they exhibit a non-linear exposure to the risk factors. The core of the text is the assessment of risk for financial portfolios by way of estimating the portfolio probability distribution. A new approach, the Barycentric Discretisation with Piecewise Quadratic Approximation (BDPQA), which poses no assumptions on the risk factor distribution and accounts for the non-linearity of the price functions, is introduced.

Financial Modeling Under Non-Gaussian Distributions

Автор: Jondeau
Название: Financial Modeling Under Non-Gaussian Distributions
ISBN: 1846284198 ISBN-13(EAN): 9781846284199
Издательство: Springer
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Цена: 9349 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The use of Gaussian models when the asset return distributions are not normal could lead to a wrong choice of portfolio, the underestimation of extreme losses or mispriced derivative products. This book deals with the non-Gaussian distributions and addresses the consequences of non-normality and time dependency in asset returns and option prices.

Handbook of Fitting Statisitical Distributions with R

Автор: Zaven A. Karian and Edward J. Dudewicz
Название: Handbook of Fitting Statisitical Distributions with R
ISBN: 1584887117 ISBN-13(EAN): 9781584887119
Издательство: Taylor&Francis
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Цена: 14212 р.
Наличие на складе: Поставка под заказ.

Описание: Featuring examples taken from the scientific literature, this book provides statisticians and researchers across the physical and social sciences with methods for fitting continuous probability distributions. It presents families with wide-ranging applicability, including Johnson`s system, kappa distribution, and generalized lambda distribution.

Life Distributions

Автор: Marshall
Название: Life Distributions
ISBN: 0387203338 ISBN-13(EAN): 9780387203331
Издательство: Springer
Рейтинг:
Цена: 21845 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: For over 200 years, practitioners have been developing parametric families of probability distributions for data analysis. This book includes a discussion of a wide variety of distribution families - nonparametric, semiparametric and parametric - some well known and some not. It is suitable for those who are working with nonnegative data.

Limit Distributions for Sums of Independent Random Vectors: Heavy Tails in Theory and Practice

Автор: Mark M. Meerschaert
Название: Limit Distributions for Sums of Independent Random Vectors: Heavy Tails in Theory and Practice
ISBN: 0471356298 ISBN-13(EAN): 9780471356295
Издательство: Wiley
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Цена: 7728 р.
Наличие на складе: Поставка под заказ.

Описание: This book provides an accessible, serious, and multivariate introduction to the central limit theorem of random variables that lies at the heart of probability and statistics. Practical applications of stable random variables are showcased.

Continuous Multivariate Distributions, Volume 1, Models and Applications, 2nd Edition

Автор: Samuel Kotz
Название: Continuous Multivariate Distributions, Volume 1, Models and Applications, 2nd Edition
ISBN: 0471183873 ISBN-13(EAN): 9780471183877
Издательство: Wiley
Рейтинг:
Цена: 12227 р.
Наличие на складе: Поставка под заказ.

Описание: Continuous Multivariate Distributions, Volume 1, Second Edition provides a remarkably comprehensive, self-contained resource for this critical statistical area. It covers all significant advances that have occurred in the field over the past quarter century in the theory, methodology, inferential procedures, computational and simulational aspects, and applications of continuous multivariate distributions. In-depth coverage includes MV systems of distributions, MV normal, MV exponential, MV extreme value, MV beta, MV gamma, MV logistic, MV Liouville, and MV Pareto distributions, as well as MV natural exponential families, which have grown immensely since the 1970s. Each distribution is presented in its own chapter along with descriptions of real-world applications gleaned from the current literature on continuous multivariate distributions and their applications.


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