Estimation of a distribution function by extrapolating upper and lower bounds /

Bibliographic Details
Main Authors:	Baker, Thomas C. (Author), Sielken, Robert L. (Author)
Corporate Authors:	United States. Office of Naval Research (sponsoring body.), Texas A & M Research Foundation
Format:	Book
Language:	English
Published:	College Station, Texas : Institute of Statistics, Texas A & M University, 1980.
Series:	Technical report (Texas A & M University. Themis Optimization Research Program) ; no. 69.
Subjects:	Linear programming. Least absolute deviations (Statistics) Estimation theory. Constrained optimization. Distribution (Probability theory) Production scheduling > Mathematical models. Production scheduling > Statistical methods. Extrapolation. Mathematical statistics. Mathematical optimization. Restricted L1 estimation Distribution function estimator

Description
Abstract:	Constrained optimization is proposed as a practical solution to the problem of estimating a distribution function at each point in a given set from monotone sequences of upper and lower bounds. The proposed solution employs least absolute value estimation and, hence, has a linear programming formulation. The special structure inherent in this formulation is exploited and an efficient computational method is discussed. The procedure is illustrated by two examples.
Item Description:	"September, 1980." "Research conducted through the Texas A & M Research Foundation."
Physical Description:	18 pages, 2 unnumbered pages, 4 pages : illustrations ; 28 cm
Bibliography:	Includes bibliographical references (page 18).