Estimating and testing the significance of correlation coefficient obtained from truncated bivariate normal distribution

Shailendra Singh, Kuldeep Kumar, A. Bhattacharya, H. Rai

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Abstract

In this paper we have given a methodology to estimate the correlation coefficient be- tween Combined Admission Test (CAT) score and Cumulative Grade Point Average (CGPA) of the students by truncating the CAT score at different cut-off points. An expression for asymptotic variance of estimated value of correlation coefficient has been derived for testing the hypothesis H0: ρ = 0 against the alternative H1: ρ > 0.

Original languageEnglish
Pages (from-to)245-251
Number of pages7
JournalJournal of Interdisciplinary Mathematics
Volume19
Issue number2
DOIs
Publication statusPublished - 3 Mar 2016

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Bivariate Normal Distribution
Score Test
Normal distribution
Correlation coefficient
Students
Testing
Asymptotic Variance
Methodology
Alternatives
Estimate

Cite this

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Estimating and testing the significance of correlation coefficient obtained from truncated bivariate normal distribution. / Singh, Shailendra; Kumar, Kuldeep; Bhattacharya, A.; Rai, H.

In: Journal of Interdisciplinary Mathematics, Vol. 19, No. 2, 03.03.2016, p. 245-251.

Research output: Contribution to journalArticleResearchpeer-review

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