Estimation of lifetime distribution parameters with general progressive censoring from Imprecise data
نویسندگان
چکیده
منابع مشابه
Estimation of the Parameters of the Reversed Generalized Logistic Distribution with Progressive Censoring Data
The reversed generalized logistic RGL distributions are very useful classes of densities as they posses a wide range of indices of skewness and kurtosis. This paper considers the estimation problem for the parameters of the RGL distribution based on progressive Type II censoring. The maximum likelihood method for RGL distribution yields equations that have to be solved numerically, even when th...
متن کاملNonparametric Predictive Comparison of Lifetime Data under Progressive Censoring
In reliability and lifetime testing, comparison of two groups of data is a common problem. In some lifetime experiments, making a quick and efficient decision is desirable in order to save time and costs. To this end, a progressive censoring scheme can be useful, with censoring occurring at different stages [2]. This paper presents a nonparametric predictive inference (NPI) approach to compare ...
متن کاملImprecise Reliability Models for the General Lifetime Distribution Classes
To develop a general reliability theory taking into account various sources of information and a lack of satisfactory data on which estimates of system parameters can be based, the theory of imprecise probabilities can be used. The purpose of the paper is to study structural reliability based on the imprecise probability models taking into account the ageing aspect of the lifetime distributions...
متن کاملEstimation for the Type-II Extreme Value Distribution Based on Progressive Type-II Censoring
In this paper, we discuss the statistical inference on the unknown parameters and reliability function of type-II extreme value (EVII) distribution when the observed data are progressively type-II censored. By applying EM algorithm, we obtain maximum likelihood estimates (MLEs). We also suggest approximate maximum likelihood estimators (AMLEs), which have explicit expressions. We provide Bayes ...
متن کاملEfficiency distribution and expected efficiencies in DEA with imprecise data
Several methods have been proposed for ranking the decision-making units (DMUs) in data envelopment analysis (DEA) with imprecise data. Some methods have only used the upper bound efficiencies to rank DMUs. However, some other methods have considered both of the lower and upper bound efficiencies to rank DMUs. The current paper shows that these methods did not consider the DEA axioms and may be...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Data Science
سال: 2021
ISSN: 1680-743X,1683-8602
DOI: 10.6339/jds.201510_13(4).0010