Statistical Analysis of Multiresponse Data: Analysis of Multiresponse Data - Couverture souple

Pant, Anil Kumar; Kumar, Vinod

 
9783846554050: Statistical Analysis of Multiresponse Data: Analysis of Multiresponse Data
Couverture souple
ISBN 10 : 3846554057 ISBN 13 : 9783846554050
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

The present book is the outcome of the research work carried out by the main author during Post-graduate studies under the advisement of the Co-author and a little effort to acquaint the agriculture scientists with the method of analyzing data when a number of responses are measured simultaneously for each set of a group of input variables. In the present book, RSM is used to find the optimum doses of nitrogen (N), phosphorus (P) and potassium (K) so that the yield of French Bean (Phaseolus vulgaris L.) is maximum. An appropriate multiresponse model has been fitted for the data related to the growth of French bean (Phaseolus vulgaris L.) and tests of linear dependencies among responses and lack of fit of the multiresponse model have been performed. The four response variables considered for the study are plant height (cm), number of leaves per plant, number of green pods per plant, total yield of green pods (kg/ha). Finally, the optimum operating conditions which optimize the multiresponse objective function have been obtained by converting the problem into Linear Programming Problem (LPP).

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

The present book is the outcome of the research work carried out by the main author during Post-graduate studies under the advisement of the Co-author and a little effort to acquaint the agriculture scientists with the method of analyzing data when a number of responses are measured simultaneously for each set of a group of input variables. In the present book, RSM is used to find the optimum doses of nitrogen (N), phosphorus (P) and potassium (K) so that the yield of French Bean (Phaseolus vulgaris L.) is maximum. An appropriate multiresponse model has been fitted for the data related to the growth of French bean (Phaseolus vulgaris L.) and tests of linear dependencies among responses and lack of fit of the multiresponse model have been performed. The four response variables considered for the study are plant height (cm), number of leaves per plant, number of green pods per plant, total yield of green pods (kg/ha). Finally, the optimum operating conditions which optimize the multiresponse objective function have been obtained by converting the problem into Linear Programming Problem (LPP).

Biographie de l'auteur

The author, Anil Kumar Pant was born on 31st March 1988 at district Pithoragarh of Uttarakhand (India). He completed M.Sc. degree from G.B. Pant University of Ag. & Tech., Pantnagar. At present, he is pursuing Ph.D. studies in Agricultural Statistics in Banaras Hindu University (B.H.U), Varanasi, India.

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
2011
Langue
anglais
ISBN 10 
3846554057
ISBN 13 
9783846554050
Reliure
Broché
Nombre de pages
68
Coordonnées du fabricant
non disponible
Personne responsable
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