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Computing Maximum‐Likelihood Estimates for Parameters of the Normal Distribution from Grouped and Censored Data
Author(s) -
Swan A. V.
Publication year - 1969
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.2307/2346440
Subject(s) - maximum likelihood , statistics , mathematics , distribution (mathematics) , econometrics , mathematical analysis
Summary An iterative method is obtained for computing the maximum‐likelihood estimates of the mean and standard deviation of a normal distribution when each observation is specified only by an upper and lower bound.