Автор: Harville David A. Название: Linear Models and the Relevant Distributions and Matrix Algebra ISBN: 0367572036 ISBN-13(EAN): 9780367572037 Издательство: Taylor&Francis Рейтинг: Цена: 7042.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Using linear statistical models as a basis for statistical inference and the theoretical underpinnings of resultant inferential procedures. Includes topics typically covered less extensively; prediction, multiple-comparison procedures for controlling FDR, spherical/elliptical distributions.
Автор: Bladt, Mogens Nielsen, Bo Friis Название: Matrix-exponential distributions in applied probability ISBN: 149397047X ISBN-13(EAN): 9781493970476 Издательство: Springer Рейтинг: Цена: 10976.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book contains an in-depth treatment of matrix-exponential (ME) distributions and their sub-class of phase-type (PH) distributions. Loosely speaking, an ME distribution is obtained through replacing the intensity parameter in an exponential distribution by a matrix. The ME distributions can also be identified as the class of non-negative distributions with rational Laplace transforms. If the matrix has the structure of a sub-intensity matrix for a Markov jump process we obtain a PH distribution which allows for nice probabilistic interpretations facilitating the derivation of exact solutions and closed form formulas.
The full potential of ME and PH unfolds in their use in stochastic modelling. Several chapters on generic applications, like renewal theory, random walks and regenerative processes, are included together with some specific examples from queueing theory and insurance risk. We emphasize our intention towards applications by including an extensive treatment on statistical methods for PH distributions and related processes that will allow practitioners to calibrate models to real data.
Aimed as a textbook for graduate students in applied probability and statistics, the book provides all the necessary background on Poisson processes, Markov chains, jump processes, martingales and re-generative methods. It is our hope that the provided background may encourage researchers and practitioners from other fields, like biology, genetics and medicine, who wish to become acquainted with the matrix-exponential method and its applications.
Автор: Mogens Bladt; Bo Friis Nielsen Название: Matrix-Exponential Distributions in Applied Probability ISBN: 1493983776 ISBN-13(EAN): 9781493983773 Издательство: Springer Рейтинг: Цена: 10976.00 р. Наличие на складе: Нет в наличии.
Описание: This book presents a study of order statistics from standard Inverse Gaussian distributions and their moments, and applies the moments of order statistics to derive the best linear unbiased estimators of the location and scale parameters based on complete as well as Type-II censored samples.
Автор: Essam K. AL-Hussaini; Mohammad Ahsanullah Название: Exponentiated Distributions ISBN: 9462390789 ISBN-13(EAN): 9789462390782 Издательство: Springer Рейтинг: Цена: 8537.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book contains entirely new results, not to be found elsewhere. Several well-known distributions such as Weibull distributions, exponentiated Burr type XII distributions and exponentiated exponential distributions and their properties are demonstrated. A number of inferences based on a finite mixture of distributions are also presented.
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.
Автор: Rolf-Dieter Reiss Название: Approximate Distributions of Order Statistics ISBN: 1461396220 ISBN-13(EAN): 9781461396222 Издательство: Springer Рейтинг: Цена: 14635.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is designed as a unified and mathematically rigorous treatment of some recent developments of the asymptotic distribution theory of order statistics (including the extreme order statistics) that are relevant for statistical theory and its applications.
Автор: Martin A. Tanner Название: Tools for Statistical Inference ISBN: 0387946888 ISBN-13(EAN): 9780387946887 Издательство: Springer Рейтинг: Цена: 12191.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a unified introduction to a variety of computational algorithms for likelihood and Bayesian inference. The third edition expands the discussion of many of the techniques discussed, includes additional examples, and adds exercise sets at the end of each chapter.
Автор: Marat Ibragimov; Rustam Ibragimov; Johan Walden Название: Heavy-Tailed Distributions and Robustness in Economics and Finance ISBN: 3319168762 ISBN-13(EAN): 9783319168760 Издательство: Springer Рейтинг: Цена: 8537.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on general frameworks for modeling heavy-tailed distributions in economics, finance, econometrics, statistics, risk management and insurance. These results motivate the development and applications of robust inference approaches under heavy tails, heterogeneity and dependence in observations.
Описание: The Birnbaum-Saunders distribution and its extensions along with applications in actuarial sciences is discussed in Chapter 11. The Laplace distribution and its applications in navigational errors is discussed in the next chapter. Chapter 15 discusses Student`s distribution, its extensions and applications in statistical inference.
Автор: Krishnamoorthy, K. Название: Handbook of statistical distributions with applications ISBN: 0367658704 ISBN-13(EAN): 9780367658700 Издательство: Taylor&Francis Рейтинг: Цена: 7808.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This handbook provides quick access to common and specialized probability distributions for modeling practical problems and performing statistical calculations. This second edition enhances the PC calculator StatCalc with electronic help manuals and now contains R functions for cases where StatCalc is not applicable, with the codes
Автор: Rajan Chattamvelli, Ramalingam Shanmugam Название: Discrete Distributions in Engineering and the Applied Sciences ISBN: 1681738635 ISBN-13(EAN): 9781681738635 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 11365.00 р. Наличие на складе: Поставка под заказ.
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.
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