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Double and resampling in adaptive cluster sampling
; (National Institute of Development Administration, 2006)
Estimators in finite population sampling on successive occasions
; (National Institute of Development Administration, 2006)
A study of controlled sampling with varying probabilities without replacement
; (National Institute of Development Administration, 2001)
Three composite imputation methods for item nonresponse estimation in sample surveys
; (National Institute of Development Administration, 2005)
Two Robust estimators of the population total for sample surveys
; (National Institute of Development Administration, 2006)
A two-step algorithm to determine a sample size using random sampling for discovering association rules
; (National Institute of Development Administration, 2004)
Model-assisted estimation in inverse sampling
; (National Institute of Development Administration, 2010)
Inverse sampling is a method of sampling which requires the continued drawing of units until certain specified conditions depending on the results of those draws have been fulfilled, and there are many studies on the ...
Stratified inverse sampling
; (National Institute of Development Administration, 2010)
This dissertation is concerned with stratified inverse sampling and four different sampling schemes are considered, namely inverse random sampling with replacement, inverse random sampling without replacement, inverse PPS ...
Path sampling
; (National Institute of Development Administration, 2011)
In sampling spatial populations, one part of the cost is due to the distance travelled to observe all of the units in a sample. Cluster sampling is one such sampling design which is often used specifically to address this ...
Variance estimation for adaptive cluster sampling with a single primary unit and the partially systematic adaptive cluster sampling
; (National Institute of Development Administration, 2009)
Two topics are investigated in this dissertation. The first concerns variance estimation when a single primary sampling unit is selected. Two new bias variance estimators, based on splitting the initial sample into sub-samples ...