Research Reports

MULTI-WAY SURVEY STRATIFICATION AND SAMPLING

William E. Winkler

KEY WORDS: Iterative Proportional Fitting; Convex Constraint; Controlled Allocation; Iterated Integer-LP Algorithm

ABSTRACT

For some populations there may be two or more stratifying criteria that are desirable in the sample design. Multi-way stratification allows increased precision of estimates of each of the variables whose precision is increased by typical univariate estimators corresponding to single-criteria designs. The sample need not be allocated to every multi-way population cell induced by a set of single-criteria designs. As a special case, a solution to a problem posed in Neyman (1934) is presented.

CITATION:

Source: U.S. Census Bureau, Statistical Research Division

Created: August 16, 2001