Estimation of Location and Scale Parameters by Order Statistics from Singly and Doubly Censored Samples

Iterative maximum-likelihood estimation of the parameters of normal populations from singly and doubly censored samples.

Estimation of Location and Scale Parameters of Weibull Distribution Using Generalized Order Statistics under Type II Singly and Doubly Censored Data

In this research paper, we have discussed the estimation of location and scale parameters of Weibull distribution using concept of generalized order statistics by the best linear unbiased estimator (BLUE) and an alternative linear estimates (Gupta) from Type II singly and doubly censored samples. Tables of coefficients for best linear estimator and alternative estimator of μ and λ have been obt...

asymptotic property of order statistics and sample quntile

چکیده: فرض کنید که تابعی از اپسیلون یک مجموع نامتناهی از احتمالات موزون مربوط به مجموع های جزئی براساس یک دنباله از متغیرهای تصادفی مستقل و همتوزیع باشد، و همچنین فرض کنید توابعی مانند g و h وجود دارند که هرگاه امید ریاضی توان دوم x متناهی و امیدریاضی x صفر باشد، در این صورت می توان حد حاصلضرب این توابع را بصورت تابعی از امید ریاضی توان دوم x نوشت. حالت عکس نیز برقرار است. همچنین ما با استفاده...

Two-sample location-scale estimation from censored data

When two survival functions belong to a location-scale family of distributions, and the available two-sample data are each right censored, the location and scale parameters can be estimated using a minimum distance criterion combined with Kaplan–Meier quantiles. In this paper, it is shown that using the estimated quantiles from a semiparametric random censorship framework produces improved para...

Nonparametric estimation of location and scale parameters

Two random variables X and Y belong to the same location-scale family if there are constants μ and σ such that Y and μ + σX have the same distribution. In this paper we consider non-parametric estimation of the parameters μ and σ under minimal assumptions regarding the form of the distribution functions of X and Y . We discuss an approach to the estimation problem that is based on asymptotic li...