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Ordered Random Variables: Theory and Applications

Ordered Random Variables: Theory and Applications PDF Author: Muhammad Qaiser Shahbaz
Publisher: Springer
ISBN: 9462392250
Category : Mathematics
Languages : en
Pages : 294

Book Description
Ordered Random Variables have attracted several authors. The basic building block of Ordered Random Variables is Order Statistics which has several applications in extreme value theory and ordered estimation. The general model for ordered random variables, known as Generalized Order Statistics has been introduced relatively recently by Kamps (1995).

Ordered Random Variables: Theory and Applications

Ordered Random Variables: Theory and Applications PDF Author: Muhammad Qaiser Shahbaz
Publisher: Springer
ISBN: 9462392250
Category : Mathematics
Languages : en
Pages : 294

Book Description
Ordered Random Variables have attracted several authors. The basic building block of Ordered Random Variables is Order Statistics which has several applications in extreme value theory and ordered estimation. The general model for ordered random variables, known as Generalized Order Statistics has been introduced relatively recently by Kamps (1995).

Recent Developments in Ordered Random Variables

Recent Developments in Ordered Random Variables PDF Author: Mohammad Ahsanullah
Publisher: Nova Publishers
ISBN: 9781600213014
Category : Mathematics
Languages : en
Pages : 352

Book Description
The ordered random variables play important roles in the theory and practice of statistics. They possess significant statistical properties. Over the last few decades, many articles on various topics of ordered statistical data have appeared. Our handbook comprises twenty one chapters discussing various topics on theory and applications. The editors of this book worked together several articles on order and record statistics, which covered the subjects of distributional properties, characterisations and statistical inferences. It was a special interest to co-ordinate and edit an interesting research problem based on material contributed by several prominent researchers from all over the world. This book presents new developments in the subject of ordered random variables. These aspects involve theory of ordered random variables, reliability theory, stochastic ordering, bounds, characterisations, and estimation and prediction techniques.

Order Statistics

Order Statistics PDF Author: Herbert A. David
Publisher: John Wiley & Sons
ISBN: 0471654019
Category : Mathematics
Languages : en
Pages : 482

Book Description
This volume provides an up-to-date coverage of the theory and applications of ordered random variables and their functions. Furthermore, it develops the distribution theory of OS systematically. Applications include procedures for the treatment of outliers and other data analysis techniques. Even when chapter and section headings are the same as in OSII, there are appreciable changes, mostly additions, with some obvious deletions. Parts of old Ch. 7, for example, are prime candidates for omission. Appendices are designed to help collate tables, computer algorithms, and software, as well as to compile related monographs on the subject matter. Extensive exercise sets will continue, many of them replaced by newer ones.

A Concept of Generalized Order Statistics

A Concept of Generalized Order Statistics PDF Author:
Publisher: Springer-Verlag
ISBN: 3663091961
Category : Technology & Engineering
Languages : de
Pages : 212

Book Description


Order Statistics

Order Statistics PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
This volume provides an up-to-date coverage of the theory and applications of ordered random variables and their functions. Furthermore, it develops the distribution theory of OS systematically. Applications include procedures for the treatment of outliers and other data analysis techniques. Even when chapter and section headings are the same as in OSII, there are appreciable changes, mostly additions, with some obvious deletions. Parts of old Ch. 7, for example, are prime candidates for omission. Appendices are designed to help collate tables, computer algorithms, and software, as well as to compile related monographs on the subject matter. Extensive exercise sets will continue, many of them replaced by newer ones.

A Concept of Generalized Order Statistics

A Concept of Generalized Order Statistics PDF Author: Udo Kamps
Publisher: Teubner Skripten zur Mathematischen Stochastik
ISBN:
Category : Mathematics
Languages : en
Pages : 220

Book Description
Order statistics and record values appear in many statistical applications and are widely used in statistical modeling and inference. Both models describe random variables arranged in order of magnitude. In addition to these well-known models, several other models of ordered random variables, known and new ones, are introduced in this book such as order statistics with non-integral sample size, sequential order statistics, k-th record values, Pfeifer' s record model, k -records from non-identical distributions and ordered random variables which arise from n truncation of distributions. These models can be effectively applied, e.g., in reliability theory. Here, an order statistic represents the life-length of some r-out-of-n-system which is an important technical structure consisting of n components. For this application, a new and more adequate model is naturally suggested. Sequential order statistics serve as a model describing certain dependencies or interactions among the system components caused by failures of components. Record values are closely connected with the occurrence times of some corresponding non-homogeneaus Poisson process and used in so lled shock models. More flexible record models, and therefore more applicable to practical situations, are considered here. The main purpose of this book is to present a concept of generalized order statistics as a unified approach to a variety of models of ordered random variables. In the distribution theoretical sense, all of the models mentioned above are contained in the proposed model of generalized order statistics.

Stochastic Orders and Their Applications

Stochastic Orders and Their Applications PDF Author: Moshe Shaked
Publisher:
ISBN:
Category : Stochastic orders
Languages : en
Pages : 580

Book Description
Stochastic orders and inequalities are being used at an accelerated rate in many diverse areas of probability and statistics. This book provides the first unified, systematic, and accessible treatment of stochasticorders, addressing the growing importance of these orders with the presentation of numerous results that illustrate their usefulness and applicability. Ten insightful chapters emphasize the applications by specialists in probability and statistics, economics, operations research, and reliability theory. Applications include multivariate variability, epidemics, comparisons of risk and risk aversion, scheduling, and systems reliability theory.

Products of Random Variables

Products of Random Variables PDF Author: Janos Galambos
Publisher: CRC Press
ISBN: 1482276631
Category : Mathematics
Languages : en
Pages : 338

Book Description
Products of Random Variables explores the theory of products of random variables through from distributions and limit theorems, to characterizations, to applications in physics, order statistics, and number theory. It uses entirely probabilistic arguments in actualizing the potential of the asymptotic theory of products of independent random variab

Probability and Random Variables: Theory and Applications

Probability and Random Variables: Theory and Applications PDF Author: Iickho Song
Publisher: Springer Nature
ISBN: 3030976793
Category : Mathematics
Languages : en
Pages : 506

Book Description
This book discusses diverse concepts and notions – and their applications – concerning probability and random variables at the intermediate to advanced level. It explains basic concepts and results in a clearer and more complete manner than the extant literature. In addition to a range of concepts and notions concerning probability and random variables, the coverage includes a number of key advanced concepts in mathematics. Readers will also find unique results on e.g. the explicit general formula of joint moments and the expected values of nonlinear functions for normal random vectors. In addition, interesting applications of the step and impulse functions in discussions on random vectors are presented. Thanks to a wealth of examples and a total of 330 practice problems of varying difficulty, readers will have the opportunity to significantly expand their knowledge and skills. The book is rounded out by an extensive index, allowing readers to quickly and easily find what they are looking for. Given its scope, the book will appeal to all readers with a basic grasp of probability and random variables who are looking to go one step further. It also offers a valuable reference guide for experienced scholars and professionals, helping them review and refine their expertise.

The Asymptotic Theory of Extreme Order Statistics

The Asymptotic Theory of Extreme Order Statistics PDF Author: János Galambos
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 442

Book Description