Research Paper | Statistics | United States of America | Volume 9 Issue 1, January 2020
Ridge and Lasso Regression for Undergraduate Research with Simulation in R
Di Gao, Xiyuan Liu, Stephen Scariano
A key part of the undergraduate statistics curriculum is modeling and prediction. Indeed, regression analysis is one of the most frequently used statistical methods in the sciences. Most introductory statistics textbooks contain one or more chapters discussing regression methodology. However, with the advent of big data problems, the classical discussion of introductory regression analysis may not fully capture the current state of the art. This article presents an undergraduate perspective for regression analysis with regulation. Our discussion concentrates on the methodology which is then followed by an informative simulation study.
Keywords: Ridge, Lasso, Simulation, R
Edition: Volume 9 Issue 1, January 2020
Pages: 968 - 970
How to Cite this Article?
Di Gao, Xiyuan Liu, Stephen Scariano, "Ridge and Lasso Regression for Undergraduate Research with Simulation in R", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20203892, Volume 9 Issue 1, January 2020, 968 - 970
125 PDF Views | 107 PDF Downloads
Similar Articles with Keyword 'Ridge'
Research Paper, Statistics, Turkey, Volume 5 Issue 11, November 2016
Pages: 1811 - 1814Estimation of the Egg Albumen Weight in the Japanese Quails using Ridge Regression Method
Senol Celik, Bunyamin Sogut
Research Paper, Statistics, United States of America, Volume 9 Issue 1, January 2020
Pages: 968 - 970Ridge and Lasso Regression for Undergraduate Research with Simulation in R
Di Gao, Xiyuan Liu, Stephen Scariano
Similar Articles with Keyword 'Simulation'
Research Paper, Statistics, Kenya, Volume 6 Issue 5, May 2017
Pages: 2337 - 2342Logistic Regression with Correction for HIV Self Reporting
Dorothy Nyakerario Riang'a; Samuel Musili Mwalili; Humphreys Murray
Research Paper, Statistics, Kenya, Volume 3 Issue 8, August 2014
Pages: 2081 - 2087Jackknife Variance Estimation of Uniformly Minimum Variance Unbiased Estimates and the Maximum Likelihood Estimates for the Gamma Probability Density Function
Lillian A. Oluoch, Leo O. Odongo
Research Paper, Statistics, Nigeria, Volume 6 Issue 6, June 2017
Pages: 2815 - 2821On The Identification of the Simple Bilinear White Noise Process
Arimie, C. O., Biu, E. O.
Research Paper, Statistics, Kenya, Volume 4 Issue 11, November 2015
Pages: 2066 - 2074C(Alpha) Tests for Testing Homogeneity of Proportions in Presence of McDONALD Generalized Beta-Binomial Over-Dispersion
Bichanga Lawrence Areba, Ali Islam, Orawo Luke
Research Paper, Statistics, India, Volume 5 Issue 6, June 2016
Pages: 2021 - 2025Paired Sample Adaptive Tests and Other Competitors in Location Problem
Chikhla Jun Gogoi, Dr. Bipin Gogoi
Similar Articles with Keyword 'R'
Research Paper, Statistics, Russia, Volume 9 Issue 8, August 2020
Pages: 1184 - 1187Predictive Analytics Aiming to Increase the Educational Quality for Street Children with Hearing Impairment
Arifa Ashrafi, Victor Sergeevich Mokhnachev, Lyubov Petrovna Tsilenko
Case Studies, Statistics, Saudi Arabia, Volume 10 Issue 2, February 2021
Pages: 952 - 955Forecasting Students Performance: A Case Study at Tabuk University
Mohamed Zidan, Atif Ali Yassin, Gafar Haroun
Research Paper, Statistics, Bangladesh, Volume 10 Issue 2, February 2021
Pages: 706 - 717Impact of Threshold Value for Detecting Drought Index: A Case Study from Pabna District of Bangladesh
Md. Mostafizur Rahman, M. Sayedur Rahman
Research Paper, Statistics, Cameroon, Volume 10 Issue 1, January 2021
Pages: 1435 - 1444Identification of the Productive Potential of Customers in a Commercial Bank Portfolio: Calculation of the Customer Lifetime Value using Statistical Learning Method
Tchokomeni Herve
Research Paper, Statistics, India, Volume 9 Issue 12, December 2020
Pages: 1556 - 1561Forecasting of Cotton Production in Nagpur District of Maharashtra India
Mayuri Barai, Gangesh Yadav, Abhay Khamborkar