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Control Chart for Mean and Lindley Distributed Quality Characteristic - Couverture souple

Bhattacharya, Amartya

 
9783659331619: Control Chart for Mean and Lindley Distributed Quality Characteristic
Couverture souple
ISBN 10 : 3659331619 ISBN 13 : 9783659331619
Editeur : LAP LAMBERT Academic Publishing, 2013

Synopsis

In modern manufacturing industry, sometimes quality characteristics cannot be easily measured on a numerical scale. The inspected item is usually classified as either conforming or nonconforming to the specifications of that quality characteristic. The terminologies defective or nondefective and defect or nonconformity are used frequently. The quality characteristics of this type are called attributes. The most usual attribute control charts are the p and np charts for binomially distributed processes and the c and u control charts for Poisson distributed processes. All four are widely known as Shewhart attribute control charts. The major objective of this paper is to search for the relevant importance of Lindley distribution in the light of control chart technique for mean and control chart performance. The study employs simulation, Statistical analysis and the diagrams in R software with the help of the tools of Descriptive Statistics, Statistical Quality Control techniques and Sampling Distribution. Many different methods of synthesizing and analyzing environmental monitoring data exist.

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Présentation de l'éditeur

In modern manufacturing industry, sometimes quality characteristics cannot be easily measured on a numerical scale. The inspected item is usually classified as either conforming or nonconforming to the specifications of that quality characteristic. The terminologies defective or nondefective and defect or nonconformity are used frequently. The quality characteristics of this type are called attributes. The most usual attribute control charts are the p and np charts for binomially distributed processes and the c and u control charts for Poisson distributed processes. All four are widely known as Shewhart attribute control charts. The major objective of this paper is to search for the relevant importance of Lindley distribution in the light of control chart technique for mean and control chart performance. The study employs simulation, Statistical analysis and the diagrams in R software with the help of the tools of Descriptive Statistics, Statistical Quality Control techniques and Sampling Distribution. Many different methods of synthesizing and analyzing environmental monitoring data exist.

Biographie de l'auteur

MSc. in Statistics(appearing), Department of Statistics.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2013
Langue
anglais
ISBN 10 
3659331619
ISBN 13 
9783659331619
Reliure
Broché
Nombre de pages
56
Coordonnées du fabricant
non disponible
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