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Usman Shahzad

Publications (4)

Use of Bioequivalence Tests and Its Properties under Different Sampling Techniques

Faryal Basharat, Nasir Jamal, Muhammad Hanif & Usman Shahzad · Asian Journal of Advanced Research and Reports · 2020

Bioequivalence testing is the initial approach for the analysis of quantitative determination of drugs and their metabolism in biological samples. In this research work its applications was tested and reviewed under different sampling techniques. The basic concept of bioequivalen...

Open access Research Article 10.9734/ajarr/2020/v11i430275

Modified Ridge Regression Estimator with the Application of Peanut Production in Pakistan

Asifa Mubeen, Nasir Jamal, Muhammad Hanif & Usman Shahzad · Asian Journal of Advanced Research and Reports · 2019

The main objective of the present study was to develop a new ridge regression estimator and fit the ridge regression model to the peanut production data of Pakistan. Peanut production data has been used to analyze the results. The data has been taken peanut production and growth...

Open access Research Article 10.9734/ajarr/2019/v7i230172

Extreme Value Distributions on Closing Quotations and Returns of Islamabad Stock Exchange

Muhammad Anas, Nasir Jamal, Muhammad Hanif & Usman Shahzad · Asian Journal of Advanced Research and Reports · 2019

This study is an experimental test done on the secondary data of banking sector of Islamabad Stock Exchange for year 2017 and applied different techniques on the given data record by using Generalized Extreme Value Distribution (GEV), Gumble Distribution (GBL), Generalized Pareto...

Open access Research Article 10.9734/ajarr/2019/v5i430140

Improved Estimator of Finite Population Variance Using Coefficient of Quartile Deviation

Komal Javed, Nasir Jamal, Muhammad Hanif, Muhammad Ali, Usman Shahzad & Amelia Victoria Garcia Luengo · Asian Journal of Advanced Research and Reports · 2018

This study introduces a new, better, class of ratio estimators for the estimation of population variance of the study variable by using the coefficient of quartile deviation of auxiliary variable. Bias and mean square error of the proposed class of estimators are also derived. Th...

Open access Research Article 10.9734/ajarr/2018/v1i313065