Acceptance Sampling Plans with Type-I Hybrid Censoring Scheme of Weibull Distribution
نویسندگان
چکیده
منابع مشابه
Optimal Progressive Censoring Plans for the Weibull Distribution
In this paper we compute the expected Fisher information and the asymptotic variance-covariance matrix of the ML estimates based on progressively Type-II censored sample from Weibull distribution by direct calculation as well as the missing information principle. These values are then used to determine the optimal progressive censoring plans. Three optimality criteria are considered and some se...
متن کاملexponentiated-Weibull distribution under type II censoring
This paper considers the three-parameter exponentiated Weibull family under type II censoring. It first graphically illustrates the shape property of the hazard function. Then, it proposes a simple algorithm for computing the maximum likelihood estimator and derives the Fisher information matrix. The latter one is represented through a single integral in terms of hazard function, hence it solve...
متن کاملInferences on Weibull parameters with conventional type-I censoring
In this article we consider the statistical inferences of the unknown parameters of a Weibull distribution when the data are Type-I censored. It is well known that the maximum likelihood estimators do not always exist, and even when they exist, they do not have explicit expressions. We propose a simple fixed point type algorithm to compute the maximum likelihood estimators, when they exist. We ...
متن کاملTracking Interval for Type II Hybrid Censoring Scheme
The purpose of this paper is to obtain the tracking interval for difference of expected Kullback-Leibler risks of two models under Type II hybrid censoring scheme. This interval helps us to evaluate proposed models in comparison with each other. We drive a statistic which tracks the difference of expected Kullback–Leibler risks between maximum likelihood estimators of the distribution in two diff...
متن کاملParameter Estimation in Marshall-Olkin Exponential Distribution Under Type-I Hybrid Censoring Scheme
The two most popular censoring schemes used in life testing experiments are Type-I and Type-II censoring schemes. Hybrid censoring scheme is the mixture of Type-I and Type-II censoring scheme. In this article, we consider the estimation of parameters of Marshall-Olkin exponential distribution based on Type-I Hybrid censored data. Both classical and Bayesian methodology have been discussed to es...
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: Advances in Applied Mathematics
سال: 2014
ISSN: 2324-7991,2324-8009
DOI: 10.12677/aam.2014.34027