S. Ejaz Ahmed

Orcid: 0000-0002-3873-8196

Affiliations:
  • Brock University, Department of Mathematics and Statistics, St. Catharines, Canada
  • University of Windsor, ON, Canada


According to our database1, S. Ejaz Ahmed authored at least 48 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Penalized Estimation of Sparse Markov Regime-Switching Vector Auto-Regressive Models.
Technometrics, October, 2023

Modified Local Linear Estimators in Partially Linear Additive Models with Right-Censored Data Based on Different Censorship Solution Techniques.
Entropy, September, 2023

Pretest and shrinkage estimators for log-normal means.
Comput. Stat., September, 2023

2022
Penalty and Shrinkage Strategies Based on Local Polynomials for Right-Censored Partially Linear Regression.
Entropy, December, 2022

Ridge estimation in linear mixed measurement error models with stochastic linear mixed restrictions.
Commun. Stat. Simul. Comput., 2022

Penalty, post pretest and shrinkage strategies in a partially linear model.
Commun. Stat. Simul. Comput., 2022

2021
Statistical Modeling in Biomedical Research: Contemporary Topics and Voices in the Field.
Technometrics, 2021

New Frontiers of Biostatistics and Bioinformatics.
Technometrics, 2021

Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modelling and Analysis of Big Data.
Technometrics, 2021

Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports, 2nd ed.
Technometrics, 2021

Ant Colony System Optimization for Spatiotemporal Modelling of Combined EEG and MEG Data.
Entropy, 2021

Sparse Estimation Strategies in Linear Mixed Effect Models for High-Dimensional Data Application.
Entropy, 2021

Right-Censored Time Series Modeling by Modified Semi-Parametric A-Spline Estimator.
Entropy, 2021

Ensemble Linear Subspace Analysis of High-Dimensional Data.
Entropy, 2021

The new mixed ridge estimator in a linear mixed model with measurement error under stochastic linear mixed restrictions.
Commun. Stat. Simul. Comput., 2021

2020
Probability (2nd ed.).
Technometrics, 2020

Diagnostic Meta-Analysis: A Useful Tool for Clinical Decision-Making.
Technometrics, 2020

Practical Tools for Designing and Weighting Survey Samples (2nd ed.).
Technometrics, 2020

Sequence Analysis and Related Approaches: Innovative Methods and Applications.
Technometrics, 2020

2019
Partial Least Squares Path Modeling.
Technometrics, 2019

Dynamic Neuroscience Statistic, Modeling, and Control.
Technometrics, 2019

Continuous Time Modeling in the Behavioural and Related Sciences.
Technometrics, 2019

Risk and Reward: The Science of Casino Blackjack (2nd ed.).
Technometrics, 2019

2018
Rank-based Liu regression.
Comput. Stat., 2018

2017
Meta-analysis, pretest, and shrinkage estimation of kurtosis parameters.
Commun. Stat. Simul. Comput., 2017

2015
Estimation of Several Intraclass Correlation Coefficients.
Commun. Stat. Simul. Comput., 2015

2014
Special issue on Model Selection and High Dimensional Data Reduction.
Comput. Stat. Data Anal., 2014

2012
Estimation of parameters in the growth curve model via an outer product least squares approach for covariance.
J. Multivar. Anal., 2012

Stabilizing the Performance of Kurtosis Estimator of Multivariate Data.
Commun. Stat. Simul. Comput., 2012

Absolute penalty and shrinkage estimation in partially linear models.
Comput. Stat. Data Anal., 2012

An application of shrinkage estimation to the nonlinear regression model.
Comput. Stat. Data Anal., 2012

2011
Absolute Penalty Estimation.
Proceedings of the International Encyclopedia of Statistical Science, 2011

Optimal Shrinkage Estimation.
Proceedings of the International Encyclopedia of Statistical Science, 2011

Optimal Shrinkage Preliminary Test Estimation.
Proceedings of the International Encyclopedia of Statistical Science, 2011

2008
Univariate and Multivariate General Linear Models - Theory and Applications With SAS.
Technometrics, 2008

Bayesian Networks and Decision Graphs.
Technometrics, 2008

Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference.
Technometrics, 2008

A Handbook of Statistical Analysis Using Stata.
Technometrics, 2008

Improving the performance of kurtosis estimator.
Comput. Stat. Data Anal., 2008

2007
Missing Data and Small-Area Estimation: Modern Analytical Equipment for the Survey Statistician.
Technometrics, 2007

Handbook of Statistical Distributions with Applications.
Technometrics, 2007

Life Time Data: Statistical Models and Methods.
Technometrics, 2007

2006
Effect Sizes for Research: A Broad Application Approach.
Technometrics, 2006

Comparisons of improved risk estimators of the multivariate mean vector.
Comput. Stat. Data Anal., 2006

2005
Robust weighted likelihood estimation of exponential parameters.
IEEE Trans. Reliab., 2005

2004
Applied Adaptive Statistical Methods: Tests of Significance and Confidence Intervals.
Technometrics, 2004

Inference concerning quantile for left truncated and right censored data.
Comput. Stat. Data Anal., 2004

Biased estimation in a simple multivariate regression model.
Comput. Stat. Data Anal., 2004


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