Inference After Variable Selection in Linear Regression Models

Ping Zhang

doi:10.2307/2337229

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Inference After Variable Selection in Linear Regression Models

Ping Zhang

Year: 1992 Journal: Biometrika Vol: 79 (4)Pages: 741-741 Publisher: Oxford University Press

DOI: 10.2307/2337229

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Abstract

Inference after variable selection in linear regression models Get access PING ZHANG PING ZHANG Department of Statistics, The Wharton School of The University of Pennsylvania, PhiladelphiaPennsylvania 19104–6302, U.S.A. Search for other works by this author on: Oxford Academic Google Scholar Biometrika, Volume 79, Issue 4, December 1992, Pages 741–746, https://doi.org/10.1093/biomet/79.4.741 Published: 01 December 1992

Keywords:

Mathematics Statistics Selection (genetic algorithm) Linear regression Inference Variable (mathematics) Regression analysis Complement (music) Feature selection Statistical inference Regression diagnostic Model selection Linear model Regression Proper linear model Econometrics Bayesian multivariate linear regression Artificial intelligence Computer science

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Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Inference After Variable Selection in Linear Regression Models

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