> > 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. >Best regards, J.Tian [[alternative HTML version deleted]]
Hi J. Tian, This list is not for helping with homework problems. Please see your instructor or teacher for assistance as it is what she or he is paid for. Cheers, Josh On Mon, Nov 7, 2011 at 3:30 AM, Jing Tian <swaggertj at gmail.com> 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. >> > > > Best regards, > J.Tian > > ? ? ? ?[[alternative HTML version deleted]] > > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > >-- Joshua Wiley Ph.D. Student, Health Psychology Programmer Analyst II, ATS Statistical Consulting Group University of California, Los Angeles https://joshuawiley.com/
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 > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > > and provide commented, minimal, self-contained, reproducible code.David Winsemius, MD West Hartford, CT