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Mendeley readers
| Title |
A new model for describing remission times: the generalized beta-generated Lindley distribution
|
|---|---|
| Published in |
Anais da Academia Brasileira de Ciências, September 2017
|
| DOI | 10.1590/0001-3765201720160455 |
| Pubmed ID | |
| Authors |
Maria DO Carmo S Lima, Gauss M Cordeiro, Abraão D C Nascimento, Kássio F Silva |
| Abstract |
New generators are required to define wider distributions for modeling real data in survival analysis. To that end we introduce the four-parameter generalized beta-generated Lindley distribution. It has explicit expressions for the ordinary and incomplete moments, mean deviations, generating and quantile functions. We propose a maximum likelihood procedure to estimate the model parameters, which is assessed through a Monte Carlo simulation study. We also derive an additional estimation scheme by means of least square between percentiles. The usefulness of the proposed distribution to describe remission times of cancer patients is illustrated by means of an application to real data. |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 1 | 20% |
| Researcher | 1 | 20% |
| Lecturer | 1 | 20% |
| Unknown | 2 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 1 | 20% |
| Computer Science | 1 | 20% |
| Unknown | 3 | 60% |