Approximation by Normal Distribution for a Sample Sum in Sampling Without Replacement from a Finite Population

摘要

A sum of observations derived by a simple random sampling design from a population of independent random variables is studied. A procedure finding a general term of Edgeworth asymptotic expansion is, presented. The Lin-deberg condition of asymptotic normality, Berry-Esseen bound, Edgeworth asymptotic expansions under weakened conditions and Cramer type large deviation results are derived.