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Model-Based Stratification in Inventory Cost Estimation
Authors:James Godfrey  Alan Roshwalb  Roger L Wright
Institution:1. J. M. Tull School of Accounting, University of Georgia , Athens , GA , 30602;2. Graduate School of Business Administration, University of Michigan , Ann Arbor , MI , 48109
Abstract:This article describes a method for developing an efficiently stratified sampling design for a generalized difference estimator, using a superpopulation model. The effectiveness of model-based stratification is compared to several conventional designs, using a data base from a complete audit of an inventory of 8,069 items. In this application, model-based designs reduce the required sample size from 9% to 40%, compared to the conventional designs.
Keywords:Audit sampling  Generalized difference estimator  Optimal stratification  PPS sampling  Sampling design  Superpopulation model
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