essam.mohamed

essam.mohamed

استاذ مساعد - عضو هيئة تدريس

كلية العلوم

العنوان: سوهاج شارع 16

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2021-02-22 12:21:11 | الكلمات المفتاحية Lifetime distributions regres,
A new one-parameter lifetime distribution and its regression model with applications
Lifetime distributions are an important statistical tools to model the different characteristics of lifetime data sets. The statistical literature contains very sophisticated distributions to analyze these kind of data sets. However, these distributions have many parameters which cause a problem in estimation step. To open a new opportunity in modeling these kind of data sets, we propose a new extension ... إقراء المزيد

2020-12-14 22:33:43 | الكلمات المفتاحية
Statistical Inferences for Type-II Hybrid Censoring Data from the Alpha Power Exponential Distribution
This paper describes a method for computing estimates for the location para- meter > 0 and scale parameter > 0 with …xed shape parameter of the alpha power exponential distribution (APED) under type-II hybrid censored (T-IIHC) samples. We com- pute the maximum likelihood estimations (MLEs) of (; ) by applying the Newton-Raphson method (NRM) and expectation maximization algorithm (EMA). In ... إقراء المزيد

2020-09-26 01:31:12 | الكلمات المفتاحية Statistical inferences,
Estimation of exponentiated Nadar ajah-Haghighi distribution under progressively type-II censored sample with application to bladder cancer data
In this article we consider statistical inferences about the unknown parameters of the exponentiated Nadarajah-Haghighi (ENH) distribution based on progressively type-II censoring using classical and Bayesian procedures. For classical procedures, maximum likelihood (ML) and least square estimators of the unknown parameters are derived. The Bayes estimators are obtained based on both the symmetric (squared error) and asymmetric (LINEX, general entropy) ... إقراء المزيد

2020-09-26 01:11:10 | الكلمات المفتاحية Distribution theory,
Bivariate Gompertz generator of distributions: statistical properties and estimation with application to model football data
In this paper, the bivariate extension of the so called Gompertz-G family was introduced and studied in detail. Marshall and Olkin shock model was used to build the proposed bivariate family. The new family was constructed from three independent Gompertz-H families using a minimisation process. Some of its statistical properties such as joint probability density function, coefficient of median correlation, ... إقراء المزيد

2020-09-26 01:04:01 | الكلمات المفتاحية Statistical inferences,
Inference of progressively type-II censored competing risks data from Chen distribution with an application
In this paper, the estimation of unknown parameters of Chen distribution is considered under progressive Type-II censoring in the presence of competing failure causes. It is assumed that the latent causes of failures have independent Chen distributions with the common shape parameter, but different scale parameters. From a frequentist perspective, the maximum likelihood estimate of parameters via expectation–maximization (EM) algorithm ... إقراء المزيد