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Pareto Distributions, Arnold, Barry C.


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Цена: 48990.00T
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Автор: Arnold, Barry C.
Название:  Pareto Distributions
ISBN: 9780367738471
Издательство: Taylor&Francis
Классификация:



ISBN-10: 0367738473
Обложка/Формат: Paperback
Страницы: 456
Вес: 0.84 кг.
Дата издания: 18.12.2020
Серия: Chapman & hall/crc monographs on statistics and applied probability
Язык: English
Издание: 2 ed
Размер: 231 x 155 x 28
Читательская аудитория: Tertiary education (us: college)
Рейтинг:
Поставляется из: Европейский союз

Univariate Stable Distributions: Models for Heavy Tailed Data

Автор: Nolan John P.
Название: Univariate Stable Distributions: Models for Heavy Tailed Data
ISBN: 3030529142 ISBN-13(EAN): 9783030529147
Издательство: Springer
Рейтинг:
Цена: 60550.00 T
Наличие на складе: Поставка под заказ.
Описание: This textbook highlights the many practical uses of stable distributions, exploring the theory, numerical algorithms, and statistical methods used to work with stable laws.

Fitting Statistical Distributions

Автор: Karian, Zaven A. , Dudewicz, Edward J.
Название: Fitting Statistical Distributions
ISBN: 0367398613 ISBN-13(EAN): 9780367398613
Издательство: Taylor&Francis
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Цена: 65320.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Throughout the physical and social sciences, researchers face the challenge of fitting statistical distributions to their data. Although the study of statistical modelling has made great strides in recent years, the number and variety of distributions to choose from-all with their own formulas, tables, diagrams, and general properties-continue to create problems. For a specific application, which of the dozens of distributions should one use? What if none of them fit well?

Fitting Statistical Distributions helps answer those questions. Focusing on techniques used successfully across many fields, the authors present all of the relevant results related to the Generalized Lambda Distribution (GLD), the Generalized Bootstrap (GB), and Monte Carlo simulation (MC). They provide the tables, algorithms, and computer programs needed for fitting continuous probability distributions to data in a wide variety of circumstances-covering bivariate as well as univariate distributions, and including situations where moments do not exist.

Regardless of your specific field-physical science, social science, or statistics, practitioner or theorist-Fitting Statistical Distributions is required reading. It includes wide-ranging applications illustrating the methods in practice and offers proofs of key results for those involved in theoretical development. Without it, you may be using obsolete methods, wasting time, and risking incorrect results.


CRC Handbook of Tables for Order Statistics from Inverse Gaussian Distributions with Applications

Автор: Balakrishnan, N.
Название: CRC Handbook of Tables for Order Statistics from Inverse Gaussian Distributions with Applications
ISBN: 0849331188 ISBN-13(EAN): 9780849331183
Издательство: Taylor&Francis
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Цена: 244990.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Discrete Distributions in Engineering and the Applied Sciences

Автор: Rajan Chattamvelli, Ramalingam Shanmugam
Название: Discrete Distributions in Engineering and the Applied Sciences
ISBN: 1681738651 ISBN-13(EAN): 9781681738659
Издательство: Mare Nostrum (Eurospan)
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Цена: 95170.00 T
Наличие на складе: Нет в наличии.
Описание: This is an introductory book on discrete statistical distributions and its applications.

It discusses only those that are widely used in the applications of probability and statistics in everyday life. The purpose is to give a self-contained introduction to classical discrete distributions in statistics. Instead of compiling the important formulas (which are available in many other textbooks), we focus on important applications of each distribution in various applied fields like bioinformatics, genomics, ecology, electronics, epidemiology, management, reliability, etc., making this book an indispensable resource for researchers and practitioners in several scientific fields. Examples are drawn from different fields. An up-to-date reference appears at the end of the book.

Chapter 1 introduces the basic concepts on random variables, and gives a simple method to find the mean deviation (MD) of discrete distributions. The Bernoulli and binomial distributions are discussed in detail in Chapter 2. A short chapter on discrete uniform distribution appears next. The next two chapters are on geometric and negative binomial distributions. Chapter 6 discusses the Poisson distribution in-depth, including applications in various fields. Chapter 7 is on hypergeometric distribution. As most textbooks in the market either do not discuss, or contain only brief description of the negative hypergeometric distribution, we have included an entire chapter on it. A short chapter on logarithmic series distribution follows it, in which a theorem to find the kth moment of logarithmic distribution using (k-1)th moment of zero-truncated geometric distribution is presented. The last chapter is on multinomial distribution and its applications.

The primary users of this book are professionals and practitioners in various fields of engineering and the applied sciences. It will also be of use to graduate students in statistics, research scholars in science disciplines, and teachers of statistics, biostatistics, biotechnology, education, and psychology.

Equilibrium Distributions of Branching Processes

Автор: A. Liemant; K. Matthes; A. Wakolbinger
Название: Equilibrium Distributions of Branching Processes
ISBN: 9027727740 ISBN-13(EAN): 9789027727749
Издательство: Springer
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Цена: 88500.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Financial Modeling Under Non-Gaussian Distributions

Автор: Jondeau Eric
Название: Financial Modeling Under Non-Gaussian Distributions
ISBN: 1849965994 ISBN-13(EAN): 9781849965996
Издательство: Springer
Цена: 83850.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Practitioners and researchers who have handled financial market data know that asset returns do not behave according to the bell-shaped curve, associated with the Gaussian or normal distribution. Indeed, 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. Consequently, non-Gaussian models and models based on processes with jumps, are gaining popularity among financial market practitioners.

Non-Gaussian distributions are the key theme of this book which addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. One of the main aims is to bridge the gap between the theoretical developments and the practical implementations of what many users and researchers perceive as "sophisticated" models or black boxes. The book is written for non-mathematicians who want to model financial market prices so the emphasis throughout is on practice. There are abundant empirical illustrations of the models and techniques described, many of which could be equally applied to other financial time series, such as exchange and interest rates.

The authors have taken care to make the material accessible to anyone with a basic knowledge of statistics, calculus and probability, while at the same time preserving the mathematical rigor and complexity of the original models.

This book will be an essential reference for practitioners in the finance industry, especially those responsible for managing portfolios and monitoring financial risk, but it will also be useful for mathematicians who want to know more about how their mathematical tools are applied in finance, and as a text for advanced courses in empirical finance; financial econometrics and financial derivatives.


Bivariate Discrete Distributions

Автор: Kocherlakota,
Название: Bivariate Discrete Distributions
ISBN: 0367450321 ISBN-13(EAN): 9780367450328
Издательство: Taylor&Francis
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Цена: 63280.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a comprehensive study of the bivariate discrete distributions and details the computer simulation techniques for the distributions. It develops distributions using sampling schemes, explores the role of compounding, and covers Waring distribution for use in accident theory.

Lognormal Distributions

Автор: Crow, Edwin L.
Название: Lognormal Distributions
ISBN: 0367580276 ISBN-13(EAN): 9780367580278
Издательство: Taylor&Francis
Рейтинг:
Цена: 51030.00 T
Наличие на складе: Нет в наличии.

Handbook of Tables for Order Statistics from Lognormal Distributions with Applications

Автор: N. Balakrishnan; W.S. Chen
Название: Handbook of Tables for Order Statistics from Lognormal Distributions with Applications
ISBN: 0792356349 ISBN-13(EAN): 9780792356349
Издательство: Springer
Рейтинг:
Цена: 259950.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents elaborate tables of moments of order statistics as well as BLUES based on complete and censored samples for lognormal distributions. This title includes various illustrative examples for the different uses of these tables pertaining to inference and prediction.

Distributions With Given Marginals and Statistical Modelling

Автор: Carles M. Cuadras; Josep Fortiana; Jos? A. Rodr?gu
Название: Distributions With Given Marginals and Statistical Modelling
ISBN: 1402009143 ISBN-13(EAN): 9781402009143
Издательство: Springer
Рейтинг:
Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Contains a selection of the papers presented at the meeting `Distributions with given marginals and statistical modelling`, held in Barcelona, July 17-20, 2000. This book covers topics such as the theory of copulas and quasi-copulas, the theory and compatibility of distributions, models for survival distributions, and others.

Generalized Hyperbolic Secant Distributions

Автор: Matthias J. Fischer
Название: Generalized Hyperbolic Secant Distributions
ISBN: 3642451373 ISBN-13(EAN): 9783642451379
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: ГЇВїВЅ Among the symmetrical distributions with an infinite domain, the most popular alternative to the normal variant is the logistic distribution as well as the Laplace or the double exponential distribution, which was first introduced in 1774.

Matrix-Exponential Distributions in Applied Probability

Автор: Mogens Bladt; Bo Friis Nielsen
Название: Matrix-Exponential Distributions in Applied Probability
ISBN: 1493983776 ISBN-13(EAN): 9781493983773
Издательство: Springer
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Цена: 83850.00 T
Наличие на складе: Поставка под заказ.


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