Moments of Some Ordered Random Variables with Application

Moments of Some Ordered Random Variables with Application
Author: Zaki Anwar
Publisher: LAP Lambert Academic Publishing
Total Pages: 116
Release: 2013
Genre:
ISBN: 9783659396366

There are several types of ordered random variables like order statistics, record values, sequential order statistics etc. which are used in different fields of application. Generalized order statistics and dual generalized order statistics are actually unifications of some ordered and reversed ordered random variables respectively. So study of generalized and dual generalized order statistics is actually a simultaneous study of these ordered random variables. The work presented in this book is based on the moments of generalized and dual generalized order statistics with some applications for some specific distributions and also for some types of general class of distributions.

Ordered Random Variables: Theory and Applications

Ordered Random Variables: Theory and Applications
Author: Muhammad Qaiser Shahbaz
Publisher: Springer
Total Pages: 300
Release: 2016-11-29
Genre: Mathematics
ISBN: 9462392250

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
Author: Mohammad Ahsanullah
Publisher: Nova Publishers
Total Pages: 352
Release: 2007
Genre: Mathematics
ISBN: 9781600213014

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
Author: Herbert A. David
Publisher: John Wiley & Sons
Total Pages: 482
Release: 2004-03-22
Genre: Mathematics
ISBN: 0471654019

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.

Generalized Poisson Models and their Applications in Insurance and Finance

Generalized Poisson Models and their Applications in Insurance and Finance
Author: Vladimir E. Bening
Publisher: Walter de Gruyter
Total Pages: 456
Release: 2012-06-11
Genre: Business & Economics
ISBN: 3110936011

The series is devoted to the publication of high-level monographs and surveys which cover the whole spectrum of probability and statistics. The books of the series are addressed to both experts and advanced students.

Stochastic Orders and Applications

Stochastic Orders and Applications
Author: Karl Mosler
Publisher: Springer Science & Business Media
Total Pages: 385
Release: 2012-12-06
Genre: Mathematics
ISBN: 3642499724

A bibliography on stochastic orderings. Was there a real need for it? In a time of reference databases as the MathSci or the Science Citation Index or the Social Science Citation Index the answer seems to be negative. The reason we think that this bibliog raphy might be of some use stems from the frustration that we, as workers in the field, have often experienced by finding similar results being discovered and proved over and over in different journals of different disciplines with different levels of mathematical so phistication and accuracy and most of the times without cross references. Of course it would be very unfair to blame an economist, say, for not knowing a result in mathematical physics, or vice versa, especially when the problems and the languages are so far apart that it is often difficult to recognize the analogies even after further scrutiny. We hope that collecting the references on this topic, regardless of the area of application, will be of some help, at least to pinpoint the problem. We use the term stochastic ordering in a broad sense to denote any ordering relation on a space of probability measures. Questions that can be related to the idea of stochastic orderings are as old as probability itself. Think for instance of the problem of comparing two gambles in order to decide which one is more favorable.

Error Analysis with Applications in Engineering

Error Analysis with Applications in Engineering
Author: Zbigniew A. Kotulski
Publisher: Springer Science & Business Media
Total Pages: 270
Release: 2009-12-10
Genre: Technology & Engineering
ISBN: 9048135702

Our intention in preparing this book was to present in as simple a manner as possible those branches of error analysis which ?nd direct applications in solving various problems in engineering practice. The main reason for writing this text was the lack of such an approach in existing books dealing with the error calculus. Most of books are devoted to mathematical statistics and to probability theory. The range of applications is usually limited to the problems of general statistics and to the analysis of errors in various measuring techniques. Much less attention is paid in these books to two-dimensional and three-dim- sional distributions, and almost no attention is given to problems connected with the two-dimensional and three-dimensional vectorial functions of independent random variables. The theory of such vectorial functions ?nds new applications connected, for example, with analysis of the positioning accuracy of various mechanisms, among them of robot manipulators and automatically controlled earth-moving and loading machines, such as excavators.