Unequal Probability Sampling has been efficiently used for
estimation of population characteristics. Several developments have
been made from time to time to increase the precision of estimates.
In this book we present some new methods of estimation in unequal
probability sampling. Some selection procedures have been discussed
for use with the Horvitz and Thompson (1952) estimator. We have
also proposed a general selection procedure which yields several
selection procedures as special case. We have also discussed the
method of developing the approximations for variance formulae for
Horvitz and Thompson (1952) estimator. Some new estimators have
been discussed alongside their design and model based study. The
empirical comparison of proposed techniques has also been given
with some well known estimation techniques of unequal probability
sampling.
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