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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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MSc. in Statistics(appearing), Department of Statistics.
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Control Chart for Mean and Lindley Distributed Quality Characteristic
Editore:
LAP LAMBERT Academic Publishing Jan 2013, 2013
ISBN 10: 3659331619
ISBN 13: 9783659331619
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 56 pp. Englisch. Codice articolo 9783659331619
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Control Chart for Mean and Lindley Distributed Quality Characteristic
Editore:
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659331619
ISBN 13: 9783659331619
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9783659331619
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Control Chart for Mean and Lindley Distributed Quality Characteristic
Editore:
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659331619
ISBN 13: 9783659331619
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bhattacharya AmartyaMSc. in Statistics(appearing), Department of Statistics.In modern manufacturing industry, sometimes quality characteristics cannot be easily measured on a numerical scale. The inspected item is usually classif. Codice articolo 5149083
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Control Chart for Mean and Lindley Distributed Quality Characteristic
Editore:
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659331619
ISBN 13: 9783659331619
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Da: Mispah books, Redhill, SURRE, Regno Unito
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA79636593316196
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Control Chart for Mean and Lindley Distributed Quality Characteristic
Editore:
LAP LAMBERT Academic Publishing Jan 2013, 2013
ISBN 10: 3659331619
ISBN 13: 9783659331619
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 56 pp. Englisch. Codice articolo 9783659331619
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Control Chart for Mean and Lindley Distributed Quality Characteristic
Editore:
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659331619
ISBN 13: 9783659331619
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Da: preigu, Osnabrück, Germania
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Taschenbuch. Condizione: Neu. Control Chart for Mean and Lindley Distributed Quality Characteristic | Amartya Bhattacharya | Taschenbuch | 56 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659331619 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 106079948
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