Surveys dealing with multiple observations spread over time are
defined as longitudinal surveys. When one is concerned about
estimates of population sub-groups in longitudinal surveys,
particularly the pattern of changes at individual level as well as
aggregate level over time, the techniques of small areas estimation
(SAE) can possibly be employed to achieve the above goal. In this
book, it has been attempted to propose methodology for estimation
of population parameters in longitudinal surveys with special
reference to small area and study the temporal patterns of changes
in population parameters. Direct, synthetic and composite
estimators have been proposed to estimate the population mean of
small area for specific points of time. It also provides detail of
mean square errors (MSE) of the proposed estimator. The relative
efficiencies of the proposed estimators are illustrated with an
empirical data collected through surveys.
General
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