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International Journal of Statistics and Applied Mathematics

2018, Vol. 3, Issue 1, Part B

Inference in generalized linear model with inequality


Author(s): AK Nagaraju, C Dwarakanatha Reddy, R Abbaiah, K Sreenivasulu, H Ravi Shankar, C Narayana and P Balasiddamuni

Abstract: In this paper we are develop new criteria to estimate parameters of liner regression model under certain linear equality and inequality restrictions on regression coefficients. A new procedure has been suggested for testing inequality hypotheses on regression coefficients of linear model. in this context, the covariance matrix for heteroscedastic disturbances has been specifies and estimated by choosing structure for the error variance. The likelihood ratio test has been discussed for testing linear inequality restrictions on parameters of the generalized linear regression model.

Pages: 143-152 | Views: 243 | Downloads: 8

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How to cite this article:
AK Nagaraju, C Dwarakanatha Reddy, R Abbaiah, K Sreenivasulu, H Ravi Shankar, C Narayana, P Balasiddamuni. Inference in generalized linear model with inequality. Int J Stat Appl Math 2018;3(1):143-152.
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