378
Shalabh and S. S. Dhar
References
Berliner LM (2003) Uncertainty and climate change. Stat Sci 18(4):430–435
Draper NR, Smith H (2014) Applied regression analysis, 3rd edn. Wiley
Hastie T, Tibshirani R, Friedman J (2009) The elements of statistical learning: data mining,
inference, and prediction, 2nd edn. Springer
Hastie T, Tibshirani R, Wainwright M (2015) Statistical learning with sparsity: the Lasso and
generalization. CRC Press
Heumann C, Schomaker M, Shalabh (2016) Introduction to statistics and data analysis – with
exercises, solutions and applications in R. Springer
Hoerl AE, Kennard RW (1970) Ridge regression: biased estimation for nonorthogonal problems.
Technometrics 12(1):55–67
Montgomery DC, Peck EA, Vining GG (2012) Introduction to linear regression analysis, 5th edn.
Wiley
Rao CR, Toutenburg H, Shalabh, Heumann C (2008) Linear models and generalizations – least
squares and alternatives. Springer
Tibshirani R (1996) Regression shrinkage and selection via the LASSO. J R Stat Soc B 58(1):267–
288
Shalabh and S. S. Dhar
References
Berliner LM (2003) Uncertainty and climate change. Stat Sci 18(4):430–435
Draper NR, Smith H (2014) Applied regression analysis, 3rd edn. Wiley
Hastie T, Tibshirani R, Friedman J (2009) The elements of statistical learning: data mining,
inference, and prediction, 2nd edn. Springer
Hastie T, Tibshirani R, Wainwright M (2015) Statistical learning with sparsity: the Lasso and
generalization. CRC Press
Heumann C, Schomaker M, Shalabh (2016) Introduction to statistics and data analysis – with
exercises, solutions and applications in R. Springer
Hoerl AE, Kennard RW (1970) Ridge regression: biased estimation for nonorthogonal problems.
Technometrics 12(1):55–67
Montgomery DC, Peck EA, Vining GG (2012) Introduction to linear regression analysis, 5th edn.
Wiley
Rao CR, Toutenburg H, Shalabh, Heumann C (2008) Linear models and generalizations – least
squares and alternatives. Springer
Tibshirani R (1996) Regression shrinkage and selection via the LASSO. J R Stat Soc B 58(1):267–
288
