Let X1, ·, Xn be n independent random vectors, Xν = (X(1) ν, ⋯, X(r) ν), and Φ(x1, ⋯, xm) a function of m(≤ n) vectors $x_\nu = (x^{(1)}_\nu, \cdots, x^{(r ...

Maximum likelihood estimators for the mean and variance of a truncated normal distribution, based on the entire sample from the original distribution, are developed. The estimators are compared with ...