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Partial Identification of Probability Distributions, Manski Charles F.



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Автор: Manski Charles F.
Название:  Partial Identification of Probability Distributions
ISBN: 9780387004549
Издательство: Springer
Классификация:
ISBN-10: 0387004548
Обложка/Формат: Hardback
Страницы: 190
Вес: 0.456 кг.
Дата издания: 28.05.2003
Серия: Springer Series in Statistics
Язык: English
Иллюстрации: 1 black & white illustrations, biography
Размер: 24.08 x 16.21 x 1.45
Читательская аудитория: Postgraduate, research & scholarly
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Дополнительное описание: Формат: 235x155
Круг читателей: Researchers, graduate students
Ключевые слова:
Язык: eng
Оглавление: Missing Outcomes * Instrumental Variables * Conditional Prediction with Missing Data * Contaminated Outcomes * Regressions, Short and Long * Response-Based Sampling * Analysis of Treatment Response * Monotone Treatment Response * Monotone Instrumental Variables * The Mixing Problem





Foundations of Quantization for Probability Distributions

Автор: Graf
Название: Foundations of Quantization for Probability Distributions
ISBN: 3540673946 ISBN-13(EAN): 9783540673941
Издательство: Springer
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Цена: 5192 р.
Наличие на складе: Поставка под заказ.

Описание: Due to the rapidly increasing need for methods of data compression, quantization has become a flourishing field in signal and image processing and information theory.

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: 11549 р.
Наличие на складе: 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.

Univariate Discrete Distributions, 3rd Edition

Автор: Norman L. Johnson
Название: Univariate Discrete Distributions, 3rd Edition
ISBN: 0471272469 ISBN-13(EAN): 9780471272465
Издательство: Wiley
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Цена: 31618 р.
Наличие на складе: Поставка под заказ.

Описание: The Third Edition of the critically acclaimed "Univariate Discrete Distributions" addresses the latest advances in discrete distributions theory. New distributions, including q-series and generalized zeta-function distributions, are explored in detail. New families of distributions, including Lagrangian-type distributions, have been integrated into this thoroughly revised and updated text. In addition, new applications of univariate discrete distributions, including sports applications, have been added to demonstrate the flexibility of this powerful method. Throughout the Third Edition, extensive information has been added to reflect the new role of computer-based applications. With its thorough coverage and balanced presentation of theory and application, this is an excellent graduate-level textbook and essential reference for statisticians and mathematicians.

Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists

Автор: Simon Marvin K., Riedel Eibe
Название: Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists
ISBN: 0387346570 ISBN-13(EAN): 9780387346571
Издательство: Springer
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Цена: 8084 р.
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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.

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: 4929 р.
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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: 10394 р.
Наличие на складе: 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
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Цена: 16169 р.
Наличие на складе: 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.

Life Distributions

Автор: Marshall
Название: Life Distributions
ISBN: 0387203338 ISBN-13(EAN): 9780387203331
Издательство: Springer
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Цена: 26985 р.
Наличие на складе: 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.

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: 17210 р.
Наличие на складе: Поставка под заказ.

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.

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: 18700 р.
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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.

Discrete Distributions: Applications in the Health Sciences

Автор: Daniel Zelterman
Название: Discrete Distributions: Applications in the Health Sciences
ISBN: 0470868880 ISBN-13(EAN): 9780470868881
Издательство: Wiley
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Цена: 12994 р.
Наличие на складе: Поставка под заказ.

Описание: There have been many advances in the theory and applications of discrete distributions in recent years. They can be applied to a wide range of problems, particularly in the health sciences, although a good understanding of their properties is very important. Discrete Distributions: Applications in the Health Sciences describes a number of new discrete distributions that arise in the statistical examination of real examples. For each example, an understanding of the issues surrounding the data provides the motivation for the subsequent development of the statistical models. Provides an overview of discrete distributions and their applications in the health sciences. Focuses on real examples, giving readers an insight into the utility of the models. Describes the properties of each distribution, and the methods that led to their development. Presents a range of examples from the health sciences, including cancer, epidemiology, and demography. Features discussion of software implementation -- in SAS, Fortran and R -- enabling readers to apply the methods to their own problems. Written in an accessible style, suitable for applied statisticians and numerate health scientists. Software and data sets are made available on the Web. Discrete Distributions: Applications in the Health Sciences provides a practical introduction to these powerful statistical tools and their applications, suitable for researchers and graduate students from statistics and biostatistics. The focus on applications, and the accessible style of the book, make it an excellent practical reference source for practitioners from the health sciences.

A Primer on Statistical Distributions

Автор: N. Balakrishnan
Название: A Primer on Statistical Distributions
ISBN: 0471427985 ISBN-13(EAN): 9780471427988
Издательство: Wiley
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Цена: 18838 р.
Наличие на складе: Поставка под заказ.

Описание: Introducing the perfect, all-in-one primer on statistical distributions Statistical distributions, along with their properties and interrelationships, are a central part of advanced statistics. However, most statistics textbooks only devote a few chapters to basic statistical distributions such as binomial, Poisson, exponential, and normal and stop short of covering other important distributions geared toward upper-level statistics courses. That's where A Primer on Statistical Distributions makes its mark. Specifically tailored to the introductory course on statistical distributions, this unmatched resource takes a more balanced, all-inclusive approach than similar texts. In page after page, you'll find a valuable review of often-overlooked distributions, including geometric, negative binomial, hypergeometric, Pareto, beta, gamma, chi-square, logistic, Cauchy, Laplace, extreme value, multinomial, Dirichlet, and multivariate normal. A Primer on Statistical Distributions begins with an informative first chapter on preliminary notations, definitions, and the concepts that are necessary to work effectively with distributions. The basic topics covered in this intductory chapter include distribution types, generating functions, shape characteristics, entropy, random vectors, conditional distributions, and regressions. Subsequent chapters are divided into three parts: discrete distributions, continuous distributions, and multivariate distributions. Each chapter includes many skill-building exercises that provide a helpful review of the material just discussed. And the book also contains an appendix with engaging biographical sketches of some of the leading minds behind the development of statistical distributions theory. A Primer on Statistical Distributions is not only ideal for students and professionals in statistics, it can also benefit individuals in applied areas such as psychology, geography, economics, and engineering, and even professionals in need of a logically organized, comprehensive reference to statistical distributions. It all adds up to a text that no one utilizing statistical distributions should be without.


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