Course taught in the Autumn 2017 at Faculty of Mathematics and Statistics (FME) of Universitat Politecnica de Catalunya (UPC-Barcelonatech) | This is an individual course repository for the above state course maintained by ankit.tewari@estudiant.upc.edu
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STAT 312/612 Yale University : Linear Models | http://statsmaths.github.io/stat612/ | Instructor:Taylor Arnold E-mail: taylor.arnold@yale.edu
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Programming in R for Analytics CMU
a) Introduction to the Statistical Learning Theory with R [6th Edition]- http://www-bcf.usc.edu/~gareth/ISL/ | Authored by- Gareth James, Director of the Institute for Outlier Research in Business, Professor of Data Sciences and Operations, University of Southern California | The student solutions to the problems of the same book can be found here- http://yahwes.github.io/ISLR/
b) Linear Models in Statistics - http://www.utstat.toronto.edu/~brunner/books/LinearModelsInStatistics.pdf | Authored by
c) Regression Linear Models in Statistics - https://rufiismada.files.wordpress.com/2012/02/regression__linear_models_in_statistics.pdf | Authored by John M. Fry and Nicholas Bingham
d) Linear Models with R - http://www.utstat.toronto.edu/~brunner/books/LinearModelsWithR.pdf | Authored by Julian J Faraway
a) Professor
a) Linear Regression and Modelling- Coursera | The course is taught by the Mine Cetinkaya Rundel, An expert on Statistical Computing at the Duke University's Department of Statistics | https://www.coursera.org/learn/linear-regression-model
b)
a) Advanced Housing Prices Prediction: https://ww2.amstat.org/publications/jse/v19n3/decock.pdf