Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200283265 ISBN 13: 9786200283269
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 72 pages. 8.66x5.91x0.17 inches. In Stock.
Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200283265 ISBN 13: 9786200283269
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Hybrid EWMA Control Chart Based On Product- Difference Estimator | Syed Muhammad Muslim Raza (u. a.) | Taschenbuch | 72 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200283269 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Language: English
Published by LAP LAMBERT Academic Publishing Aug 2019, 2019
ISBN 10: 6200283265 ISBN 13: 9786200283269
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book includes the study about a new developed Hybrid EWMA control chart based on Product- Difference Estimator of Mean (PD-HEWMA) using Auxiliary Information which performs better than all other existing/traditional control charts. PD-HEWMA control chart using the auxiliary information for efficient monitoring of process mean. The control chart constants have been determined using Monte Carlo Simulation for various values of correlation coefficients. The choice of correlation coefficient has a significant effect on the value of control chart constants which are used in the construction of the proposed PD-HEWMA chart. The performance of the proposed chart is assessed with respect to the average run length out-of-control situations for different values of correlation coefficient and sample sizes. 72 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200283265 ISBN 13: 9786200283269
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Raza Syed Muhammad MuslimMuhammad Haider is working as Deputy Controller examination at Minhaj University Lahore, Pakistan. Syed Muhammad Muslim Raza is working as Lecturer Statistics at Dept. of Quantitative Methods, University of M.
Language: English
Published by LAP LAMBERT Academic Publishing Aug 2019, 2019
ISBN 10: 6200283265 ISBN 13: 9786200283269
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book includes the study about a new developed Hybrid EWMA control chart based on Product- Difference Estimator of Mean (PD-HEWMA) using Auxiliary Information which performs better than all other existing/traditional control charts. PD-HEWMA control chart using the auxiliary information for efficient monitoring of process mean. The control chart constants have been determined using Monte Carlo Simulation for various values of correlation coefficients. The choice of correlation coefficient has a significant effect on the value of control chart constants which are used in the construction of the proposed PD-HEWMA chart. The performance of the proposed chart is assessed with respect to the average run length out-of-control situations for different values of correlation coefficient and sample sizes.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200283265 ISBN 13: 9786200283269
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book includes the study about a new developed Hybrid EWMA control chart based on Product- Difference Estimator of Mean (PD-HEWMA) using Auxiliary Information which performs better than all other existing/traditional control charts. PD-HEWMA control chart using the auxiliary information for efficient monitoring of process mean. The control chart constants have been determined using Monte Carlo Simulation for various values of correlation coefficients. The choice of correlation coefficient has a significant effect on the value of control chart constants which are used in the construction of the proposed PD-HEWMA chart. The performance of the proposed chart is assessed with respect to the average run length out-of-control situations for different values of correlation coefficient and sample sizes.