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A fractile programming approach with extreme sample estimates of parameters
Author(s) -
Sengupta J. K.,
Sanyal B. C.
Publication year - 1970
Publication title -
statistica neerlandica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 39
eISSN - 1467-9574
pISSN - 0039-0402
DOI - 10.1111/j.1467-9574.1970.tb00107.x
Subject(s) - linear programming , sample (material) , sensitivity (control systems) , extreme value theory , mathematical optimization , econometrics , mathematics , work (physics) , value (mathematics) , operations research , computer science , statistics , engineering , mechanical engineering , chemistry , chromatography , electronic engineering
This paper investigates the implications of extreme value estimates of net prices in the objective function of a linear programming problem. Analytically, our approach suggests interesting points of comparison between different measures of sensitivity of a linear programming problem, when a specified fractile of the distribution of profits is optimized. Work done under the National Science Foundation Project GS‐1810–420–21–17 at the Department of Economics, Iowa State University.