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Statistical Analysis of Multiresponse Data (Paperback)
Loot Price: R1,302
Discovery Miles 13 020
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Statistical Analysis of Multiresponse Data (Paperback)
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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).
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