Articoli correlati a Recent Advances In Cluster Sampling Using R Software
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The present book deals with complete introduction of sample survey methodology, its historical background. An introduction of R-software has been given. The regression analysis, correlation analysis and confidence interval are given in numerical summary. In graphic summary box plots, qqnorm plots etc are provided and also four new functions cluster1(x, N), cluster2(x), cluster3(x), DEF1(x) and SRSWOR(Y, N) have been developed and complete codes along with illustrations have been given.In this book an attempt has been made to show that cluster sampling is more efficient than simple random sampling provided the mean square within the clusters is maximum and there is a negative intra-class correlation coefficient between elements within clusters as relative efficiency of cluster sampling increases with increase in mean square within clusters. Different estimators of cluster sampling are applied and their results are compared with simple random sampling using the same sample size. Different computer programmes are developed using R-software
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Recent Advances In Cluster Sampling Using R Software
Editore:
LAP LAMBERT Academic Publishing Mrz 2018, 2018
ISBN 10: 6138388224
ISBN 13: 9786138388227
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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 -The present book deals with complete introduction of sample survey methodology, its historical background. An introduction of R-software has been given. The regression analysis, correlation analysis and confidence interval are given in numerical summary. In graphic summary box plots, qqnorm plots etc are provided and also four new functions cluster1(x, N), cluster2(x), cluster3(x), DEF1(x) and SRSWOR(Y, N) have been developed and complete codes along with illustrations have been given.In this book an attempt has been made to show that cluster sampling is more efficient than simple random sampling provided the mean square within the clusters is maximum and there is a negative intra-class correlation coefficient between elements within clusters as relative efficiency of cluster sampling increases with increase in mean square within clusters. Different estimators of cluster sampling are applied and their results are compared with simple random sampling using the same sample size. Different computer programmes are developed using R-software 116 pp. Englisch. Codice articolo 9786138388227
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Recent Advances In Cluster Sampling Using R Software
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LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6138388224
ISBN 13: 9786138388227
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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 - The present book deals with complete introduction of sample survey methodology, its historical background. An introduction of R-software has been given. The regression analysis, correlation analysis and confidence interval are given in numerical summary. In graphic summary box plots, qqnorm plots etc are provided and also four new functions cluster1(x, N), cluster2(x), cluster3(x), DEF1(x) and SRSWOR(Y, N) have been developed and complete codes along with illustrations have been given.In this book an attempt has been made to show that cluster sampling is more efficient than simple random sampling provided the mean square within the clusters is maximum and there is a negative intra-class correlation coefficient between elements within clusters as relative efficiency of cluster sampling increases with increase in mean square within clusters. Different estimators of cluster sampling are applied and their results are compared with simple random sampling using the same sample size. Different computer programmes are developed using R-software. Codice articolo 9786138388227
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Recent Advances In Cluster Sampling Using R Software
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LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6138388224
ISBN 13: 9786138388227
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jeelani M. IqbalDr. M. Iqbal Jeelani is presently working as Assistant Professor at Division of Statistics and Computer Science, SKUAST-Jammu, India. He is an expert in research related to R software, Applied Statistics & Stati. Codice articolo 385848235
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Recent Advances In Cluster Sampling Using R Software
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LAP LAMBERT Academic Publishing Mär 2018, 2018
ISBN 10: 6138388224
ISBN 13: 9786138388227
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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 -The present book deals with complete introduction of sample survey methodology, its historical background. An introduction of R-software has been given. The regression analysis, correlation analysis and confidence interval are given in numerical summary. In graphic summary box plots, qqnorm plots etc are provided and also four new functions cluster1(x, N), cluster2(x), cluster3(x), DEF1(x) and SRSWOR(Y, N) have been developed and complete codes along with illustrations have been given.In this book an attempt has been made to show that cluster sampling is more efficient than simple random sampling provided the mean square within the clusters is maximum and there is a negative intra-class correlation coefficient between elements within clusters as relative efficiency of cluster sampling increases with increase in mean square within clusters. Different estimators of cluster sampling are applied and their results are compared with simple random sampling using the same sample size. Different computer programmes are developed using R-softwareVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch. Codice articolo 9786138388227
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Recent Advances In Cluster Sampling Using R Software
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LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6138388224
ISBN 13: 9786138388227
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Taschenbuch. Condizione: Neu. Recent Advances In Cluster Sampling Using R Software | M. Iqbal Jeelani (u. a.) | Taschenbuch | 116 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786138388227 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 113465007
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Recent Advances In Cluster Sampling Using R Software
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6138388224
ISBN 13: 9786138388227
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paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA82961383882246
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