𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Maximum likelihood estimate of the parameters of a truncated inverse gaussian distribution

✍ Scribed by R. P. Gupta

Publisher
Springer
Year
1973
Tongue
English
Weight
93 KB
Volume
20
Category
Article
ISSN
0026-1335

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

An EM type algorithm for maximum likelih
An EM type algorithm for maximum likelihood estimation of the normal–inverse Gaussian distribution
✍ Dimitris Karlis πŸ“‚ Article πŸ“… 2002 πŸ› Elsevier Science 🌐 English βš– 134 KB

The Normal-Inverse Gaussian distribution arises as a Normal variance-mean mixture with an Inverse Gaussian mixing distribution. This article deals with Maximum Likelihood estimation of the parameters of the Normal-Inverse Gaussian distribution. Due to the complexity of the likelihood, direct maximiz

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.