When stratification is employed to reduce the variance of an
estimate of the population mean, and the population does not possess an
a priori partitioning, the degree of reduction provided is affected by
the method of allocation, by the number of strata, and by the choice of
the stratum boundaries....
Nonparametric model-assisted estimators have been proposed to improve estimates of finite population parameters. More efficient estimators are obtained when the parametric model is misspecified due to the flexibility of nonparametric models. In this dissertation, we derive information criteria to select appropriate auxiliary variables to use in an additive model-assisted method....
Post stratification is considered desirable in sample surveys for two
reasons - it reduces the mean squared error when averaged over all possible
samples, and it reduces the conditional bias when conditioned on stratum
sample sizes. The problem studied in this thesis is post stratified estimation
of a finite population...
In an attempt to improve the mid-season forecast of filbert
production, objective measure techniques were started in 1955 on an
experimental basis. In the following years an adjusted ratio estimate
was used to forecast the filbert production. The purpose of this
study was to review the different assumptions and consider...
Area frame sampling for agricultural statistics is a
procedure currently used by the Statistical Reporting Service of
the US Department of Agriculture as well as by agriculture
departments in other countries. A primary advantage of the area
frame is that it provides complete coverage of the population.
In area frame...