Inverse Rayleigh Distribution-Reliability and Quality Control Methods

Rosaiah Kanaparthi

ISBN 10: 6134950009 / ISBN 13: 9786134950008

Published by LAP LAMBERT Academic Publishing Jan 2018, 2018

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -The findings of our research study are presented in the form of this book, which are summarized in five chapters. Chapter-1 is of general introduction along with survey of literature on inverse Rayleigh distribution and related distributions. In Chapter-2, ML and Modified ML estimation and reliability estimation of inverse Rayleigh distribution are discussed. In Chapter-3, we constructed the variable control charts along with Analysis of Means (ANOM) for inverse Rayleigh distribution. In Chapter-4, we developed variable sampling plans based on inverse Rayleigh distribution and also illustrated the method using lifetime data. In Chapter-5, we have presented the estimation of stress-strength reliability in single component as well as multi-component systems, where the stress, strength variates are assumed to follow inverse Rayleigh distribution. The numerical tables computed along with the listings of the computer programs are presented towards the end of respective chapters. The references are appended alphabetically at the end of this book.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 204 pp. Englisch.

Seller Inventory # 9786134950008

Bibliographic Details

• Title: Inverse Rayleigh Distribution-Reliability and Quality Control Methods
• Publisher: LAP LAMBERT Academic Publishing Jan 2018
• Publication Date: 2018
• Language: English
• ISBN 10: 6134950009
• ISBN 13: 9786134950008
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 13D millimeters 220 millimeters width by 150 millimeters height by 13 millimeters depth
• Weight: 322 grams

About this title

Synopsis

The findings of our research study are presented in the form of this book, which are summarized in five chapters. Chapter-1 is of general introduction along with survey of literature on inverse Rayleigh distribution and related distributions. In Chapter-2, ML and Modified ML estimation and reliability estimation of inverse Rayleigh distribution are discussed. In Chapter-3, we constructed the variable control charts along with Analysis of Means (ANOM) for inverse Rayleigh distribution. In Chapter-4, we developed variable sampling plans based on inverse Rayleigh distribution and also illustrated the method using lifetime data. In Chapter-5, we have presented the estimation of stress-strength reliability in single component as well as multi-component systems, where the stress, strength variates are assumed to follow inverse Rayleigh distribution. The numerical tables computed along with the listings of the computer programs are presented towards the end of respective chapters. The references are appended alphabetically at the end of this book.

About the Author

Prof.K.Rosaiah has completed M.Sc. Statistics in 1982 and got Ph.D. in Statistics in 1990 from Acharya Nagarjuna University, Guntur, India. Joined as Lecturer in the Department of Statistics, Acharya Nagarjuna University in 1985 and promoted as Professor in 2002. Published 64 research articles and also published one text book.