- Advanced Statistical Methods and Models
- Statistical Distribution Estimation and Applications
- Labor market dynamics and wage inequality
- Statistical Methods and Bayesian Inference
- Advanced Statistical Process Monitoring
- Survey Sampling and Estimation Techniques
- Scientific Measurement and Uncertainty Evaluation
- Economic Policies and Impacts
- Hydrology and Watershed Management Studies
- Statistical Methods and Inference
- Optimal Experimental Design Methods
- Hydrology and Drought Analysis
- Financial Risk and Volatility Modeling
- Poverty, Education, and Child Welfare
- Fiscal Policy and Economic Growth
- Probabilistic and Robust Engineering Design
- Reliability and Maintenance Optimization
- Advanced Multi-Objective Optimization Algorithms
- Global Maternal and Child Health
- Enzyme-mediated dye degradation
- Enzyme function and inhibition
- Higher Education and Employability
- Social and Economic Development in India
- Climate variability and models
- Chromium effects and bioremediation
University of the Punjab
2023-2025
Government College University, Faisalabad
2016-2022
Bahauddin Zakariya University
2018
Government College University, Lahore
2018
Institut de recherche sur l'éducation
2012-2013
Université de Bourgogne
2013
This study was focused on survival analysis of heart failure patients who were admitted to Institute Cardiology and Allied hospital Faisalabad-Pakistan during April-December (2015). All the aged 40 years or above, having left ventricular systolic dysfunction, belonging NYHA class III IV. Cox regression used model mortality considering age, ejection fraction, serum creatinine, sodium, anemia, platelets, creatinine phosphokinase, blood pressure, gender, diabetes smoking status as potentially...
Abstract There are many practical situations where the underlying distribution of quality characteristic either deviates from normality or it is unknown. In such cases, practitioners often make use nonparametric control charts. this paper, a new double exponentially weighted moving average chart on basis signed‐rank statistic proposed for monitoring process location. Monte Carlo simulations carried out to obtain run length characteristics chart. The performance comparison with existing...
Abstract At‐site flood frequency analysis is a direct method of estimation at given site. The choice an appropriate probability distribution and parameter plays vital role in at‐site analysis. In the current article, carried out five gauging sites Ume River Sweden. Generalised extreme value, three‐parameter log‐normal, generalised logistic Gumbel distributions are fitted to annual maximum peak flow data. L‐moment likelihood methods used estimate parameters distributions. Based on different...
The article proposes three modified percentile estimators for parameter estimation of the Pareto distribution. These modifications are based on median, geometric mean and expectation empirical cumulative distribution function first-order statistic. proposed compared with traditional through a Monte Carlo simulation different combinations varying sample sizes. Performance is assessed in terms total square error relative deviation. It determined that estimator statistic provides efficient...
Statistical process control (SPC) consists of various tools for effective monitoring the production processes and services to ensure their stable satisfactory performance. A chart is an important tool SPC detecting shifts that may undermine quality products or services. In literature, a mixed exponentially weighted moving average–moving average (EWMA–MA) location proposed enhance overall shift detection ability EWMA chart. It noted averages terms were considered as independent irrespective...
This article estimates the economic returns to schooling as well analyzing other explanatory factors for French labor market. It addresses issue of endogeneity bias and proposes two new instruments use in instrumental variable two-stage least squares technique. Our results show that proposed are relevant adequate, based on evidence from available literature. After using instruments, we find OLS coefficients biased downwards. Finally, choose between instruments.
One eminent disadvantage of many existing optimal estimators/class estimators is that they are typically biased. In this article, we proposed an optimum class unbiased for estimating the population mean under simple random sampling without replacement (SRSWOR) scheme. Proposed a blend three concepts: 1) information on auxiliary variable, 2) ranks variable and 3) Hartley-Ross type estimation procedure. Expressions bias minimum variance new derived up to first degree approximation. To...
The objective of the study was to find major correlates decline in physical functionality geriatric population. main focus evaluation demographic, social, economic, and health-related factors that have a potential impact on functionality. A sample 423 elderly people were selected from district Faisalabad, Pakistan by using snowball sampling approach. Statistical analysis performed frequency some tests for association like chi-square, Cramer’s V, gamma coefficient. It observed 42.8%...
In a world where the role of women in decision‐making is seldom adequately appreciated, they make remarkable contribution due to their hard work and sense confidence. It observed that are mostly involved repetitive monotonous household irrespective fact share most family responsibilities perform wide range duties outside home. On other hand men activities, which require skills, but there sufficient evidence, show clear, although slow shift stereotype sex roles. early societies, was...
In this article, we have proposed some modifications in the maximum likelihood estimation for estimating parameters of Pareto distribution and evaluated performance these modified estimators comparison to existing estimators. Total Relative Deviation (TRD) Mean Square Error (MSE) been used as indicators goodness fit analysis. The traditional compared different sample sizes parameter combinations using a Monto Carlo simulation R-language. We concluded that estimator based on expectation...
Background: For growth monitoring of brain, head circumference (HdC) reference data are needed. Rapid increase in the HdC is usually seen within first few years life which marks histological changes brain. However, Pakistan, there a dearth research on potential use measurements. Objectives: We aimed to develop age and gender specific smoothed charts for Pakistani children, aged 2 5 years. Methods: A representative cross-sectional sample 1474 - years, was studied. Age values their were...
This study suggests a new optimal family of exponential-type estimators for estimating population mean in stratified random sampling. These are based on the traditional and nontraditional measures auxiliary information. Expressions bias, square error, minimum error proposed derived up to first order approximation. It is observed that perform better than (unbiased, combined ratio, regression) other recent estimators. A real dataset used highlight applicability In addition, simulation carried...
The article deals with at-site flood frequency analysis for different gauging stations of the Chenab River in Pakistan.The study aimed at recommending most suitable probability distribution and efficient method parameter estimation each site.Generalized extreme value, generalized logistic, Gumbel, Pareto, reverse Gumbel models are fitted to annual peak flow/discharge.For site, parameters these distributions estimated through L-moments, maximum likelihood, least squares, weighted relative...
This article is about Bayesian estimation of parameters a heterogeneous 3-component mixture Rayleigh distributions (3-CMRD) generating data. Being the most popular and reasonable sampling scheme in reliability survival analyses, doubly censored considered. The Bayes estimators their posterior risks are derived under various situations. In addition, elicitation hyperparameters presented. Algebraic expressions for predictive distribution intervals derived. Assuming informative non-informative...
This paper estimates the Mincer wage model for Pakistan’s labor market, using a relatively recent dataset and new independent variables. We employ instrumental variables two-stage least squares to address problem of endogeneity education. Our results show that returns education are biased downward due endogeneity, with significant gaps emerging among different regions, between genders urban rural job markets. The study’s choice instruments has conceptual as well empirical grounds. findings...
In this paper, a new nonparametric control chart based on two EWMA statistics is proposed for monitoring process deviation from the target value. The performance comparison of with existing sign and CUSUM mean are made by using out-of-control average run length. simulation study showed superiority suggested over four other parametric charts. An empirical illustration also provided evaluation chart. By comparing charts, it concluded that more sensitive in detecting small shift process.
Aiming at minimizing the ratio of error with respect to response variable, least squares is a relatively new method for estimating regression parameters. In current article, performance this approach compared traditional OLS in case when homoscedasticity errors assumption violated. A comparison made through simulation study using mean square error, absolute percentage and false acceptance rate as measures. It observed that outperforms moderate or severe heteroscedasticity all sample sizes...
In this paper, a generalized class of estimators for the estimation population median are proposed under simple random sampling without replacement (SRSWOR) through robust measures auxiliary variable. Three measures, decile mean, Hodges–Lehmann estimator, and trimean an variable, used. Mathematical properties such as bias, mean squared error (MSE), minimum MSE derived up to first order approximation. We considered various real-life datasets simulation study check potentiality over...