Search Results - "Akram, Muhammad Nauman"

Shewhart ridge profiling for the Gamma response model by Aslam, Muhammad Zeeshan, Amin, Muhammad, Mahmood, Tahir, Nauman Akram, Muhammad

“…When product quality follows the Gamma distribution and is related to one or more covariate(s), then Gamma regression model (GRM) profiling will be used. The…”
Get full text

On the estimation of Bell regression model using ridge estimator by Amin, Muhammad, Akram, Muhammad Nauman, Majid, Abdul

“…The bell regression is used, when the response variable is in the form of counts with over dispersion. The bell regression coefficients are generally estimated…”
Get full text

On the James-Stein estimator for the poisson regression model by Amin, Muhammad, Akram, Muhammad Nauman, Amanullah, Muhammad

“…The Poisson regression model (PRM) aims to model a counting variable y, which is usually estimated by using maximum likelihood estimation (MLE) method. The…”
Get full text

A new Liu-type estimator for the Inverse Gaussian Regression Model by Akram, Muhammad Nauman, Amin, Muhammad, Qasim, Muhammad

“…The Inverse Gaussian Regression Model (IGRM) is used when the response variable is positively skewed and follows the inverse Gaussian distribution. In this…”
Get full text

Bayesian estimation of ridge parameter under different loss functions by Amin, Muhammad, Akram, Muhammad Nauman, Ramzan, Qasim

“…In linear regression modeling, the presence of multicollinearity among the explanatory variables has undesirable effects on the maximum likelihood estimator…”
Get full text

Ridge parameter estimation for the linear regression model under different loss functions using T-K approximation by Ramzan, Qasim, Akram, Muhammad Nauman, Amin, Muhammad

“…In multiple linear regression models, the explanatory variables should be uncorrelated within each other but this assumption is violated in most of the cases…”
Get full text

Two-parameter estimator for the inverse Gaussian regression model by Akram, Muhammad Nauman, Amin, Muhammad, Amanullah, Muhammad

“…The inverse Gaussian regression model (IGRM) is frequently applied in the situations, when the response variable is positively skewed and well fitted to the…”
Get full text

A new adjusted Liu estimator for the Poisson regression model by Amin, Muhammad, Akram, Muhammad Nauman, Kibria, B. M. Golam

“…Summary The Poisson regression model (PRM) is usually applied in the situations when the dependent variable is in the form of count data. For estimating the…”
Get full text

Comparison of link functions for the estimation of logistic ridge regression: an application to urine data by Hadia, Mehmoona, Amin, Muhammad, Akram, Muhammad Nauman

“…The logistic regression model is applied in situations when the response variable is of binary nature and follows the Bernoulli distribution. The maximum…”
Get full text

Modified ridge-type estimator for the zero inflated negative binomial regression model by Akram, Muhammad Nauman, Afzal, Nimra, Amin, Muhammad, Batool, Asia

“…The Zero-inflated negative binomial (ZINB) regression models are commonly used for count data that shows an over-dispersion and extra zeros. Multicollinearity…”
Get full text

On the performance of link functions in the beta ridge regression model: Simulation and application by Mustafa, Sidra, Amin, Muhammad, Akram, Muhammad Nauman, Afzal, Nimra

“…The beta regression model (BRM) is appropriate when the response variable is continuous and is in the form of ratios and proportions. For the estimation of the…”
Get full text

New ridge parameter estimators for the zero-inflated Conway Maxwell Poisson ridge regression model by Ashraf, Bushra, Amin, Muhammad, Akram, Muhammad Nauman

“…One of the flexible count data models for dealing with over and under-dispersion with extra zeroes is the zero-inflated Conway-Maxwell Poisson (ZICOMP). The…”
Get full text

Influence diagnostics in the inverse Gaussian ridge regression model: Applications in chemometrics by Amin, Muhammad, Faisal, Muhammad, Akram, Muhammad Nauman

“…The influential observation affects the regression model inferences. Literature has shown that the problems of multicollinearity and influential observations…”
Get full text

A new biased estimator for the gamma regression model: Some applications in medical sciences by Akram, Muhammad Nauman, Amin, Muhammad, Qasim, Muhammad

“…The Gamma Regression Model (GRM) has a variety of applications in medical sciences and other disciplines. The results of the GRM may be misleading in the…”
Get full text

On the generalized biased estimators for the gamma regression model: methods and applications by Akram, Muhammad Nauman, Amin, Muhammad, Faisal, Muhammad

“…The gamma regression model (GRM) is commonly used if the response variable is continuous and positively skewed. In the existence of multicollinearity problem,…”
Get full text

Modified ridge-type estimator for the inverse Gaussian regression model by Akram, Muhammad Nauman, Amin, Muhammad, Ullah, Muhammad Aman, Afzal, Saima

“…This paper considers the parameter estimation for the inverse Gaussian regression model (IGRM) in the presence of multicollinearity. The inverse Gaussian…”
Get full text

Principal component ridge type estimator for the inverse Gaussian regression model by Akram, Muhammad Nauman, Amin, Muhammad, Lukman, Adewale F., Afzal, Saima

“…The inverse Gaussian regression model (IGRM) is applied when the response variable is continuous, positively skewed and well fitted to the inverse Gaussian…”
Get full text

Influential observation detection in the logistic regression under different link functions: an application to urine calcium oxalate crystals data by Amin, Muhammad, Fatima, Azka, Akram, Muhammad Nauman, Kamal, Mustafa

“…This study compares the performance of link functions for diagnostic methods to diagnose influential observations in the logistic regression model. Four link…”
Get full text

A new Stein estimator for the zero‐inflated negative binomial regression model by Akram, Muhammad Nauman, Abonazel, Mohamed R., Amin, Muhammad, Kibria, B. M. Golam, Afzal, Nimra

“…The Zero‐inflated negative binomial (ZINB) regression models are mainly applied for count data that shows over‐dispersion and extra zeros. Multicollinearity is…”
Get full text

A modified one parameter Liu estimator for Conway-Maxwell Poisson response model by Sami, Faiza, Amin, Muhammad, Akram, Muhammad Nauman, Butt, Muhammad Moeen, Ashraf, Bushra

“…The maximum likelihood estimator (MLE) is generally used to estimate the Conway Maxwell Poisson regression model (COMPRM). When the explanatory variables are…”
Get full text