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Prologue.
Linear Regression Analysis.
Generalized Inverses in Linear Statistical Models.
Theory of Testing Statistical Hypotheses.
Sampling.
Design and Analysis of Experiment.
Cluster Analysis.
Epilogue.
Index.
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Add Mathematical Programming in Statistics, Develops the theory and methods of mathematical programming for application to problems in statistics. Exploits the structure of the problem under consideration in order to develop efficient solutions. Provides extensive examples of applications, tables o, Mathematical Programming in Statistics to the inventory that you are selling on WonderClubX
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Add Mathematical Programming in Statistics, Develops the theory and methods of mathematical programming for application to problems in statistics. Exploits the structure of the problem under consideration in order to develop efficient solutions. Provides extensive examples of applications, tables o, Mathematical Programming in Statistics to your collection on WonderClub |