𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A Comment on Maximum Likelihood Estimation for Finite Mixtures of Distributions

✍ Scribed by Dr. K. P. Burnham

Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
273 KB
Volume
30
Category
Article
ISSN
0323-3847

No coin nor oath required. For personal study only.

✦ Synopsis

Iterative numerical methods are necessary t o find the maximum likelihood estimates for finite mixture distributions. This paper shows that it will often be possible to analytitally reduce the number of equations that must ultimately be solved numerically. Such a reduction in dimensionality has not generally been used, or sought after, for mixture distributions. Yet such results are easily derived when each mixture ,component is assumed to be from the same parametric model within the exponential family. ,

πŸ“œ SIMILAR VOLUMES

A Maximum Likelihood Estimator for Shape
A Maximum Likelihood Estimator for Shape Parameters of S-Distributions
✍ Eberhard O. Voit πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons 🌐 English βš– 251 KB πŸ‘ 2 views

The S-distribution is a four-parameter distribution that is defined in terms of a differential equation, in which the cumulative is represented as the dependent variable: The article proposes a maximum likelihood estimator for the shape parameters of this distribution.

Short note: Estimating the number of pur
Short note: Estimating the number of pure chemical components in a mixture by maximum likelihood
✍ Edmund R. Malinowski πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 56 KB πŸ‘ 1 views

## Abstract Computations attributed to the Malinowski __F__‐test are incorrect because they were based on determining the equality of secondary eigenvalues instead of the equality of reduced eigenvalues as prescribed in the original work of Malinowski. When the correct expression was employed, the