On Nov 7, 2011, at 6:30 AM, Jing Tian wrote:
Dear moderators,
Please help me encode the program instructed by follows.
Thank u!
Apply the methods introduced in Sections 4.2.1 and 4.2.2, say the
rank-based variable selection and BIC criterions, to the Boston
housing
data.
The Boston housing data contains 506 observations, and is publicly
available in the R package mlbench (dataset “BostonHousing”).
The response variable Y is the median value of owner-occupied
homes
(MEDV) in each of the 506 census tracts in the Boston Standard
Metropolitan
Statistical Areas, and there are thirteen predictor variables.
We are interested in the relationship between MEDV and the other
predictor variables.
Setup your parametric model and use rank-based regression
methodology to
select and estimate the parameters.
Please read the Posting Guide and then use a search facility on your
browser to search out what it says about homework.
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
Best regards,
J.Tian
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and provide commented, minimal, self-contained, reproducible code.
David Winsemius, MD
West Hartford, CT
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R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
