CORRECTING MISCLASSIFICATION BIAS IN REGRESSION MODELS WITH VARIABLES GENERATED VIA DATA MINING

Ph.D

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Bibliographic Details
Main Author:	QIAO MENGKE
Other Authors:	INFORMATION SYSTEMS & ANALYTICS
Format:	Theses and Dissertations
Language:	English
Published:	2021
Subjects:	data mining, econometrics, measurement error, misclassification, statistical inference, performance metric
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/185720
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-185720
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spelling	sg-nus-scholar.10635-1857202023-02-01T18:00:59Z CORRECTING MISCLASSIFICATION BIAS IN REGRESSION MODELS WITH VARIABLES GENERATED VIA DATA MINING QIAO MENGKE INFORMATION SYSTEMS & ANALYTICS Ke Wei Huang data mining, econometrics, measurement error, misclassification, statistical inference, performance metric Ph.D DOCTOR OF PHILOSOPHY (SOC) 2021-01-24T18:00:33Z 2021-01-24T18:00:33Z 2021-01-24 Thesis QIAO MENGKE (2021-01-24). CORRECTING MISCLASSIFICATION BIAS IN REGRESSION MODELS WITH VARIABLES GENERATED VIA DATA MINING. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/185720 0000-0002-0554-7916 en
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	data mining, econometrics, measurement error, misclassification, statistical inference, performance metric
spellingShingle	data mining, econometrics, measurement error, misclassification, statistical inference, performance metric QIAO MENGKE CORRECTING MISCLASSIFICATION BIAS IN REGRESSION MODELS WITH VARIABLES GENERATED VIA DATA MINING
description	Ph.D
author2	INFORMATION SYSTEMS & ANALYTICS
author_facet	INFORMATION SYSTEMS & ANALYTICS QIAO MENGKE
format	Theses and Dissertations
author	QIAO MENGKE
author_sort	QIAO MENGKE
title	CORRECTING MISCLASSIFICATION BIAS IN REGRESSION MODELS WITH VARIABLES GENERATED VIA DATA MINING
title_short	CORRECTING MISCLASSIFICATION BIAS IN REGRESSION MODELS WITH VARIABLES GENERATED VIA DATA MINING
title_full	CORRECTING MISCLASSIFICATION BIAS IN REGRESSION MODELS WITH VARIABLES GENERATED VIA DATA MINING
title_fullStr	CORRECTING MISCLASSIFICATION BIAS IN REGRESSION MODELS WITH VARIABLES GENERATED VIA DATA MINING
title_full_unstemmed	CORRECTING MISCLASSIFICATION BIAS IN REGRESSION MODELS WITH VARIABLES GENERATED VIA DATA MINING
title_sort	correcting misclassification bias in regression models with variables generated via data mining
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/185720
_version_	1757048150464397312

CORRECTING MISCLASSIFICATION BIAS IN REGRESSION MODELS WITH VARIABLES GENERATED VIA DATA MINING

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