Selection of link function in binary regression: A case-study with world happiness report on immigration
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2019-10-18 v1
Abstract
Selection of appropriate link function for binary regression remains an important issue for data analysis and its influence on related inference. We prescribe a new data-driven methodology to search for the same, considering some popular classification assessment metrics. A case-study with World Happiness report,2018 with special reference to immigration is presented for demonstrating utility of the prescribed routine.
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Cite
@article{arxiv.1910.07748,
title = {Selection of link function in binary regression: A case-study with world happiness report on immigration},
author = {Ardhendu Banerjee and Subrata Chakraborty and Aniket Biswas},
journal= {arXiv preprint arXiv:1910.07748},
year = {2019}
}
Comments
12 pages, 5 tables