An application of Multivariate Models on GSRTC Data

Vol-4 | Issue-04 | April 2019 | Published Online: 15 April 2019    PDF ( 449 KB )
Author(s)
Bhavika D. Shah 1; Pravender 2

1Research Scholar, Department of Statistics, Gujarat University, Ahmedabad - 380009 (India)

2Research Guide, Department of Statistics, Gujarat University, Ahmedabad - 380009 (India)

Abstract

Till the time the study on Gujarat State Road Transport Corporation (GSRTC) has been studied for its economic evaluation, financial structures and managerial aspects. This research is attempting to conclude the results of GSRTC for predictive analysis. Thus, this research is developed with support of multivariate models on GSRTC data for financial year 2005 to 2016 for selected 12 parameters. This research is discussed with applications of Heteroskedasticity-Robust Standard Errors, Variant HC0, Heteroskedasticity-Robust Standard Errors, Variant HC1and Weights Based on Per-Unit Error Variances.

Keywords
Heteroskedasticity-Robust Standard Errors, Per-Unit Error Variances.
Statistics
Article View: 407