Some statistical inferences on the upper record of Lomax distribution

Statistical Inferences for Lomax Distribution Based on Record Values (Bayesian and Classical)

Some Statistical Inferences on the Parameters of Records Weibull Distribution Using Entropy

 In this paper, we discuss different estimators of the records Weibull distribution parameters and also we apply the Kullback-Leibler divergence of survival function method to estimate record Weibull parameters. Finally, these estimators have been compared using Monte Carlo simulation and suggested good estimators.

a study on the effectiveness of textual modification on the improvement of iranian upper-intermediate efl learners’ reading comprehension

این پژوهش به منظور بررسی تأثیر اصلاح متنی بر بهبود توانایی درک مطلب زبان آموزان ایرانی بالاتر از سطح میانی انجام پذیرفت .بدین منظور 115 دانشجوی مرد و زن رشته مترجمی زبان انگلیسی در این پزوهش شرکت نمودند.

The Lomax-Exponential Distribution, Some Properties and Applications

Abstract: The exponential distribution is a popular model in applications to real data. We propose a new extension of this distribution, called the Lomax-exponential distribution, which presents greater flexibility to the model. Also there is a simple relation between the Lomax-exponential distribution and the Lomax distribution. Results for moment, limit behavior, hazard function, Shannon entr...

Inferences for the Exponentiated Weibull Distribution Based on Record Statistics

The Weibull distribution is a very popular distribution. It is called after Waladdi Weibull, a Swedish physicist. He used it in 1939 to analyze the breaking strength of materials. Since then it has been widely used for modelling phenomena with monotone failure rates. It is not useful for modelling phenomena with non monotone failure rates. The Weibull distribution has been shown to be useful fo...

Statistical Inference Based on Upper Record Values

The goal of this thesis is to examine methods of statistical inference based on upper record values. This includes estimation of parameters based on samples of record values and prediction of future record values. We first define and discuss record times and record values and their distributions. Then we propose an efficient algorithm to generate random samples of record values. The algorithm, ...