It is well known that the maximum likelihood estimates (MLEs) of a multivariate normal distribution from incomplete data with a monotone pattern have closed-form expressions and that the MLEs from incomplete data with a general missing-data pattern can be obtained using the Expectation-Maximization
Estimating the Order of a Sequence of Physiological Changes from Incomplete Data
β Scribed by Andrew R. Solow; Mary Carla Curran; Flegra Bentivegna
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 237 KB
- Volume
- 39
- Category
- Article
- ISSN
- 0323-3847
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β¦ Synopsis
The problem considered in this paper is the estimation of the underlying order of rn physiological changes from incomplete observations. The observations are incomplete in the sense that, for each individual in the sample, only the identity, but not the order, of the first k < rn changes are observed, with k varying between individuals. An application to some data on physiological changes in fish undergoing sex change is presented.
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