Maximum likelihood estimation of exponential distribution parameters using interval data
β Scribed by Dallas R. Wingo
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 279 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0026-2714
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A computer program is described which uses the maximum likelihood method to fit data which obey Poisson fluctuation with the following function ## N = ~Avex p (-art). V The program provides a simultaneous optimum estimation of the parametersA v, and a v v = 1, 2 ..... p and their variances. For
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.