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Bibliographic Details
Main Author: Kim, Jiwoong
Format: Preprint
Published: 2017
Subjects:
Online Access:https://arxiv.org/abs/1703.07044
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author Kim, Jiwoong
author_facet Kim, Jiwoong
contents This paper proposes a novel method to estimate parameters in a logistic regression model. After obtaining the estimators, their asymptotic properties are rigorously investigated.
format Preprint
id arxiv_https___arxiv_org_abs_1703_07044
institution arXiv
publishDate 2017
record_format arxiv
spellingShingle Robust estimation of parameters in logistic regression via solving the Cramer-von Mises type L2 optimization problem
Kim, Jiwoong
Statistics Theory
This paper proposes a novel method to estimate parameters in a logistic regression model. After obtaining the estimators, their asymptotic properties are rigorously investigated.
title Robust estimation of parameters in logistic regression via solving the Cramer-von Mises type L2 optimization problem
topic Statistics Theory
url https://arxiv.org/abs/1703.07044