Testing for covariate effects in the fully nonparametric analysis of covariance model

Journal article

Lan Wang and Michael G Akritas

Journal of the American Statistical Association, Vol.101(474), pp.722-736

2006

Abstract

Applications

Exact sciences and technology

General topics

Linear inference, regression

Mathematics

Parametric inference

Probability and statistics

Sciences and techniques of general use

Statistics

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Collaboration types: Domestic collaboration
Citation topics: 9 Mathematics; 9.92 Statistical Methods; 9.92.220 Nonparametric Regression
Web Of Science research areas: Statistics & Probability
ESI research areas: Mathematics

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Title: Testing for covariate effects in the fully nonparametric analysis of covariance model
Creators: Lan Wang - University of Minnesota
Michael G Akritas - University of Minnesota
Publication Details: Journal of the American Statistical Association, Vol.101(474), pp.722-736
Publisher: American Statistical Association
Academic Unit: Miami Herbert Business School; MHBS - Management Science
Language: English
Resource Type: Journal article
Record Identifier: 991031714405402976