D. N. Kashid

发表

Subset Selection in Poisson Regression

D. T. Shirke, D. M. Sakate, D. N. Kashid, 2011 .

Estimation of regression parameters using SVM with new methods for meta parameter

D. N. Kashid, S. S. Desai, S. S. Desai, 2015, Int. J. Data Min. Model. Manag..

High Leverage Points and Vertical Outliers Resistant Model Selection in Regression

D. N. Kashid, K. Shende, 2021 .

A new robust model selection method in GLM with application to ecological data

D. N. Kashid, D. Sakate, 2016, Environmental Systems Research.

Variable Selection in Regression using Multilayer Feedforward Network

D. N. Kashid, T. S. Kamble, 2016 .

Subset selection in multiple linear regression in the presence of outlier and multicollinearity

D. N. Kashid, N. H. Jadhav, Nileshkumar H. Jadhav, 2014 .

Variable selection via penalized minimum φ-divergence estimation in logistic regression

D. N. Kashid, D. Sakate, D.M. Sakate, 2014 .

A MORE GENERAL CRITERION FOR SUBSET SELECTION IN MULTIPLE LINEAR REGRESSION

D. N. Kashid, S. R. Kulkarni, 2002 .

Support Vector Machine-based Modified Sp Statistic for Subset Selection with Non-Normal Error Terms

D. N. Kashid, S. S. Desai, 2020 .

Least absolute deviation estimator based consistent model selection in regression

D. N. Kashid, K. S. Shende, 2019, Communications for Statistical Applications and Methods.

Comparison of Estimators in GLM with Binary Data

D. N. Kashid, D. Sakate, 2014 .

Robust Winsorized Shrinkage Estimators for Linear Regression Model

D. N. Kashid, N. H. Jadhav, 2014 .

Alternative Method for Choosing Ridge Parameter for Regression

D. N. Kashid, A. V. Dorugade, D. N. Kashid, 2010 .

Consistent and robust variable selection in regression based on Wald test

D. N. Kashid, D. Sakate, T. S. Kamble, 2019 .

Robust Linearized Ridge M-estimator for Linear Regression Model

D. N. Kashid, D. N. Kashid, N. H. Jadhav, 2016, Commun. Stat. Simul. Comput..

A Jackknifed Ridge M-estimator for Regression Model with Multicollinearity and Outliers

D. N. Kashid, N. H. Jadhav, 2011 .

A deviance-based criterion for model selection in GLM

D. N. Kashid, D. Sakate, 2014 .