| Document Date: 2002-09-14 07:19:26
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City Washington / DC / Berlin / / Company Neural Networks / Expert Systems / / IndustryTerm search strategies / Program search performance / search process / stratification search algorithms / Application-specific search / search point / interviewer travel costs / Mixed search / Weak search / state search sessions / search step designs / software implementations / priority processing / search decision rules / direct search / search space topography / search concepts / appropriate search space / appropriate software / search information / Parallel processing / fourphase search algorithm / search sessions / prototype stratification search program / search task / search algorithm / interactive search session / stratification algorithms / search space dimensions / acceptable solutions / Search methods / search algorithms / user-supplied search parameters / search phases / search parameters / search method / search performance / search requirements / intelligent search programs / search status / search steps / search runs / successive search step / Search-algorithm design matches / multivariate clustering algorithm / search quality / survey search requirements / dimensional search environment / Feasible search points / Blind search / diverse applications / search functions / derived search points / search points / search progress / search space / interactive search sessions / Economic and financial knowledge-based processing / stratification search algorithm / knowledge-based processing / / Organization U.S. Bureau of the Census Washington / CPS PSUs / U.S. Bureau of the Census / / / Position author / / ProgrammingLanguage Prolog / L / DC / / ProvinceOrState Minnesota / Alaska / / Technology search algorithm / search algorithms / F-R algorithm / multivariate clustering algorithm / fourphase search algorithm / stratification search algorithm / stratification algorithms / stratification search algorithms / Parallel processing / /
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STRATIFICATION OF PRIMARY SAMPLING UNITS FOR THE CURRENT POPULATION SURVEY USING COMPUTER INTENSIVE METHODS Paul W. Ludington, U.S. Bureau of the Census Washington, DC[removed]I. INTRODUCTION An essential design feature of