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.