Exact likelihood inference for exponential distributions under generalized progressive hybrid censoring schemes
| Autor: | Erhard Cramer, Julian Górny |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Statistics and Probability
Mathematical optimization 021103 operations research Maximum likelihood B-spline 0211 other engineering and technologies Inference 02 engineering and technology 01 natural sciences Censoring (statistics) Exponential function 010104 statistics & probability Applied mathematics 0101 mathematics Mathematics |
| Zdroj: | Statistical Methodology. 29:70-94 |
| ISSN: | 1572-3127 |
| DOI: | 10.1016/j.stamet.2015.10.003 |
| Popis: | Generalized Type-I and Type-II hybrid censoring schemes as proposed in Chandrasekar et al. (2004) are extended to progressively Type-II censored data. Using the spacings’ based approach due to Cramer and Balakrishnan (2013), we obtain explicit expressions for the density functions of the MLEs. The resulting formulas are given in terms of B-spline functions so that they can be easily and efficiently implemented on a computer. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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