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Computing Maximum‐Likelihood Estimates for Parameters of the Normal Distribution from Grouped and Censored Data

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  • A. V. Swan

Abstract

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.

Suggested Citation

  • A. V. Swan, 1969. "Computing Maximum‐Likelihood Estimates for Parameters of the Normal Distribution from Grouped and Censored Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 18(1), pages 65-69, March.
    • Handle: RePEc:bla:jorssc:v:18:y:1969:i:1:p:65-69
    DOI: 10.2307/2346440
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    Cited by:

    1. David E. Burmaster & Kimberly M. Thompson, 2001. "Fitting a second-order parametric distribution conditioned on an explanatory variable using maximum likelihood estimation," Journal of Risk Research, Taylor & Francis Journals, vol. 4(1), pages 49-62, January.

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