Conditions for approximation of the bias and mean squared error of a sample mean under nonresponse /

Bibliographic Details
Main Author:	Eltinge, John L. (Author)
Corporate Authors:	National Institutes of Health (U.S.) (sponsoring body.), American Cyanamid Company (sponsoring body.)
Format:	Book
Language:	English
Published:	College Station, Texas : Department of Statistics, Texas A & M University, 1991.
Series:	Technical report (Texas A & M University. Department of Statistics) ; no. 146.
Subjects:	Sampling (Statistics) Nonresponse (Statistics) Missing observations (Statistics) Error analysis (Mathematics) Estimation theory. Experimental design > Statistical methods. Mathematical statistics. Finite population sampling Large sample approximations Quasirandomization Random nonresponse Simple random sampling without replacement

Description
Abstract:	This paper gives rigorous statements of sufficient conditions for some moment approximations under nonresponse. Approximations are stated in terms of sequences of populations and simple random samples. Nonresponse is handled through a quasirandomization approach, in which selected sample units respond with different probabilities.
Item Description:	"This research was supported in part by grants from the A.C. Nielsen Company and the National Institutes of Health (GM39015-01A1)"--Leaf i.
Physical Description:	13 leaves ; 28 cm
Bibliography:	Includes bibliographical references (leaf 13).