Isbn: 9783846554050 - statistical analysis of multiresponse data: analysis of multiresponse data (9 risultati)

Condizione: New. pp. 68.

Taschenbuch. Condizione: Neu. Statistical Analysis of Multiresponse Data | Analysis of Multiresponse Data | Anil Kumar Pant (u. a.) | Taschenbuch | 68 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846554050 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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). 68 pp. Englisch.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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).…

Condizione: New. Print on Demand pp. 68 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Condizione: New. PRINT ON DEMAND pp. 68.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pant Anil KumarThe 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. st.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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).VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch.…