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Author Kott, Phillip S. ♦ Jeffrey ♦ Bailey, T. ♦ Agricultural, National
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Description K.R.W. Brewer suggests that when estimating the total of a single item for which there is control (auxiliary) data, one employ a ratio or regression estimator and draw the sample using probabilities proportional to the control values raised to a power between 1/2 and 1. Brewer's sample selection scheme can be expanded to multiple targets by drawing overlapping Poisson samples for a number of items simultaneously using permanent random numbers (PRN's). W e can call the result an example of "Maximal Brewer Selection " (MBS). This paper develops the theory behind MBS and the calibration estimator rendering it practical. It goes on to describe how this estimation strategy is being used at the National Agricultural Statistics Service. Key Words: M odel; Model-assisted; Randomization; Calibration; Delete-a-group jackknife
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2000-01-01
Publisher Institution Poisson PRN Sampling. ICES II: The Second International Conference on Establishment Surveys