ABSTRACT
This chapter is based on previous results of Cohen (1950, 1957, 1963). Maximum likelihood estimators of parameters of the normal distribution are derived for samples that are doubly truncated, doubly censored, progressively censored, centrally censored, and centrally truncated. In deriving estimating equations for the various sample types, an effort has been made to follow a routine that produces equations that are analogous in algebraic form and that can thus be solved by employing common iterative procedures.
