Journal article
Maximum Likelihood Estimation: for the Multinomial Distribution
Teaching statistics, Vol.14(3), pp.9-11
09/1992
DOI: 10.1111/j.1467-9639.1992.tb00231.x
Abstract
In a first course in mathematical statistics or categorical data analysis, the maximum likelihood estimators of the parameters of the multinomial distribution are often “derived” using calculus. However, the important step of verifying that the resulting estimators indeed maximize the likelihood is omitted or done incorrectly. In this paper, two simple methods of obtaining the maximum likelihood estimates are presented. Copyright © 1992, Wiley Blackwell. All rights reserved
Details
- Title: Subtitle
- Maximum Likelihood Estimation: for the Multinomial Distribution
- Creators
- Charles S Davis - University of IowaMichael P Jones - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Teaching statistics, Vol.14(3), pp.9-11
- Publisher
- Blackwell Publishing Ltd
- DOI
- 10.1111/j.1467-9639.1992.tb00231.x
- ISSN
- 0141-982X
- eISSN
- 1467-9639
- Number of pages
- 3
- Language
- English
- Date published
- 09/1992
- Academic Unit
- Biostatistics; Statistics and Actuarial Science; Public Policy Center (Archive)
- Record Identifier
- 9984283852802771
Metrics
7 Record Views