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Polynomial regression
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1	Chapter 5 Local Regress ion Trees In this chapter we explore the hypothesis of improving the accuracy of regression trees by using smoother models at the tree leaves. Our proposal consists of using local regression model Add to Reading List Source URL: www.dcc.fc.up.pt Language: English - Date: 2012-12-13 10:18:43 Regression analysis Statistics Estimation theory Nonparametric statistics Parametric statistics Polynomial regression Local regression Decision tree learning Kernel regression Ordinary least squares Nonparametric regression Linear regression
2	Nonparametric Regression with Correlated Errors Jean Opsomer Iowa State University Yuedong Wang University of California, Santa Barbara Add to Reading List Source URL: www.pstat.ucsb.edu Language: English - Date: 2001-11-05 13:11:35 Statistics Regression analysis Autocorrelation Linear regression Polynomial regression Nonparametric regression Kernel regression Correlation and dependence Errors and residuals Degrees of freedom Variance Normal distribution
3	Luís Fernando Raínho Alves Torgo INDUCTIVE LEARNING OF TREE-BASED REGRESSION MODELS Add to Reading List Source URL: www.dcc.fc.up.pt Language: English - Date: 2012-12-13 10:18:43 Statistics Regression analysis Estimation theory Decision trees Actuarial science Mean squared error Decision tree learning Pruning Linear regression Polynomial regression Prediction Errors and residuals
4	TAKE-HOME CLASS QUIZ: DUE WEDNESDAY DECEMBER 4: ORDINARY LEAST SQUARES REGRESSION MATH 196, SECTION 57 (VIPUL NAIK) Your name (print clearly in capital letters): PLEASE FEEL FREE TO DISCUSS ALL QUESTIONS. Add to Reading List Source URL: files.vipulnaik.com Language: English - Date: 2016-08-13 19:19:57 Regression analysis Estimation theory Parametric statistics Econometrics Least squares Linear regression Ordinary least squares Polynomial regression Matrix Polynomial Linear least squares Limit of a function
5	Constrained Least Squares Stephen Boyd EE103 Stanford University November 16, 2015 Add to Reading List Source URL: stanford.edu Language: English - Date: 2015-11-16 13:33:46 Regression analysis Mathematical optimization Least squares Polynomial regression Estimation theory Linear least squares Total least squares
6	Special Issue Paper Received: 2 November 2012, Environmetrics Revised: 10 April 2013, Add to Reading List Source URL: www.bio.sdsu.edu Language: English - Date: 2013-08-15 20:48:16 Regression analysis Linear regression Ordinary least squares Nonparametric regression Local regression Segmented regression Statistics Errors-in-variables models Least squares Regression Curve fitting Polynomial regression
7	Genetic evaluation of laying hens under fixed regression animal models Add to Reading List Source URL: www.archanimbreed.com Language: English - Date: 2016-01-06 06:20:56 Econometrics Regression analysis Linear regression Polynomial regression Heritability Akaike information criterion DurbinWatson statistic
8	Chapter 11 RegressionLinear Regression Add to Reading List Source URL: johnstachurski.net Language: English - Date: 2016-06-24 09:25:50 Regression analysis Least squares Linear regression Ordinary least squares Coefficient of determination Linear least squares Residual sum of squares Explained sum of squares Expected value Polynomial regression Regularized least squares
9	Ann Inst Stat Math:705–723 DOIs10463Best equivariant estimator of regression coefficients in a seemingly unrelated regression model with known correlation matrix Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2016-08-02 06:58:09 Regression analysis Econometrics Estimation theory Least squares Parametric statistics Generalized least squares Linear regression Invariant estimator Polynomial regression Book:Applied Math
10	Administrative Notes StatisticsLecture 23 •  Homework 7 posted. Due in recitation on Friday, April 22 Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2016-04-11 14:37:34 Regression analysis Parametric statistics Estimation theory Econometrics Linear regression Simple linear regression T-statistic Errors and residuals Statistics Coefficient of determination Polynomial regression