A5011573790- Statistical Distribution Estimation and Applications
- Probabilistic and Robust Engineering Design
- Statistical Methods and Bayesian Inference
- Financial Risk and Volatility Modeling
- Hydrology and Drought Analysis
- Statistical Methods and Inference
- Advanced Text Analysis Techniques
- Mental Health via Writing
- Bayesian Methods and Mixture Models
- Reliability and Maintenance Optimization
- Sentiment Analysis and Opinion Mining
Zagazig University
2015-2024
King Saud University
2024
Politecnico di Milano
2024
Universidad Nacional Autónoma de México
2020
To improve the quality of knowledge service selection in a cloud manufacturing environment, this paper proposes optimization decision method based on users' psychological behavior. Based characteristic analysis service, establish optimal evaluation index system use rough set theory to assign initial weights each index, and adjust according user's multiattribute preference ensure that consequences are allocated correctly. The can help counselors acquire time identify with suicidal tendencies...
<abstract><p>This work utilizes generalized order statistics (GOSs) to study the $ q $-Weibull distribution from several statistical perspectives. First, we explain how obtain maximum likelihood estimates (MLEs) and utilize Bayesian techniques estimate parameters of model. The Fisher information matrix (FIM) required for asymptotic confidence intervals (CIs) is generated by obtaining explicit expressions. A Monte Carlo simulation conducted compare performances these based on type...
We present in this paper a discrete analogue of the continuous generalized inverted exponential distribution denoted by (DGIE) distribution. Since, it is cumbersome or difficult to measure large number observations reality on scale area reliability analysis. Yet, there are distributions literature; however, these have certain difficulties properly fitting amount data variety fields. The presented <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mi mathvariant="bold">DGIE</mi>...
<p>One important area of statistical theory and its applications to bivariate data modeling is the construction families distributions with specified marginals. This motivates proposal a distribution employing Farlie-Gumbel-Morgenstern (FGM) copula Epanechnikov exponential (EP-EX) marginal distribution, denoted by EP-EX-FGM. The EP-EX complementing not rival, (EX) distribution. Its simple function shape dependence on single scale parameter make it an ideal choice for marginals in...
In this paper, the Bayes estimate is derived for parameters of exponential model. The obtained using squared error loss and LINEX function. risk with under function has been made. Finally, numerical study given to illustrate results.
In this paper, the estimation of stress-strength model R=P(Y<X), based on lower record values is derived when both X and Y are independent identical random variables with geometric distribution. Estimating R maximum likelihood estimator Bayes non-informative prior information mean square errors LINIX loss functions for distribution obtained. The confidence intervals constructed by using exact, bootstrap Bayesian methods. Finally, different methods have been used illustrative purpose...
In this paper, the problem of estimation when X and Y are two independent upper record values from gamma Lindley distribution is considered. Maximum likelihood Bayesian estimator methods were used to set best-estimated reliability function. The importance research because model, applied, can obtain that depend on values, which an interesting in many real-life applications. Also, based WHO data COVID-19 pandemic, a stress-strength model was applied recorded for Mont-Carlo simulation data.