Asymptotic properties of maximum likelihood estimators based on progressive Type-II censoring
- Lin, Chien-Tai
DOI Publisher
Springer Science and Business Media LLCAbstract
[[abstract]]Hoadley (Ann Math Stat 42:1977–1991, 1971) studied the weak law of large numbers for independent and non-identically distributed random variables. Using that result along with the missing information principle, we establish the consistency and asymptotic normality of maximum likelihood estimators based on progressively Type-II censored samples.[[journaltype]]國外[[incitationindex]]SCI[[booktype]]紙本[[countrycodes]]DE
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