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                                       Details for article 14 of 18 found articles
 
 
  Small sample properties of the maximum likelihood estimators of the parameters μ and σ from a grouped sample of a normal population
 
 
Title: Small sample properties of the maximum likelihood estimators of the parameters μ and σ from a grouped sample of a normal population
Author: Schader, Martin
Schmid, Friedrich
Appeared in: Communications in statistics
Paging: Volume 17 (1988) nr. 1 pages 229-239
Year: 1988
Contents: Small sample bias and variance of the ML estimators of the parameters μ, and σ of grouped observations from a normal distribution are investigated using Monte Carlo simulation. The usefulness of the estimates of the variance of ML estimators which can be taken from the last iteration of the Scoring and Newton-Raphson algorithm is shown. In addition the small sample levels of some tests on μ and σ which are based on the asymptotic normality of the ML estimators are determined by Monte Carlo simulation
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 14 of 18 found articles
 
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