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Linear regression
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#	Item
531	0.1 ologit: Ordinal Logistic Regression for Ordered Categorical Dependent Variables Use the ordinal logit regression model if your dependent variable is ordered and categorical, Add to Reading List Source URL: perso.md2t.eu Language: English - Date: 2011-03-08 17:52:46 Econometrics Logistic regression Logit Ordered probit Poisson regression Multinomial logit Linear probability model Statistics Regression analysis Categorical data
532	HÖGSKOLAN DALARNA School of technology and business studies Comparison of the heritability values on pig’s teat number in two methods Supervisor: Majbritt.Felleki Add to Reading List Source URL: www.statistics.du.se Language: English - Date: 2011-06-18 08:21:35 Regression analysis Statistical methods Analysis of variance Heritability Best linear unbiased prediction Mixed model Linear regression Variance Covariance Statistics Genetics Estimation theory
533	GENERAL MULTILELEVEL MODELING WITH SAMPLING WEIGHTS Tihomir Asparouhov Muthen & Muthen Los Angeles, California, USA Add to Reading List Source URL: www.statmodel.com Language: English - Date: 2008-08-13 12:42:34 Regression analysis Machine learning Statistical inference Sampling Linear regression Cluster sampling Mixture model Sample size determination Estimator Statistics Estimation theory Statistical models
534	references Allison, PMissing Data. Thousand Oaks, CA: Sage. Allison, T., and D. Chichetti. 1976. “Sleep in Mammals: Ecological and Constitutional Correlates.” Science): 732–734. Anderson, M. J. 20 Add to Reading List Source URL: www.manning.com Language: English - Date: 2011-08-31 09:48:46 Non-parametric statistics Statistical methods Parametric statistics Resampling Multivariate analysis Analysis of variance Linear regression Multivariate statistics Nonparametric regression Statistics Regression analysis Statistical tests
535	Submitted to the Annals of Statistics RISK OF PENALIZED LEAST SQUARES, GREEDY SELECTION AND `1 -PENALIZATION FOR FLEXIBLE FUNCTION LIBRARIES B Y C ONG H UANG , G ERALD H. L. C HEANG Add to Reading List Source URL: www.stat.yale.edu Language: English - Date: 2008-03-21 22:31:14 Regression analysis Least squares Big O notation Convex function Linear regression Derivative Exponentiation Smoothing spline Reduction Mathematical analysis Mathematics Statistics
536	This article was published in an Elsevier journal. The attached copy is furnished to the author for non-commercial research and education use, including for instruction at the author’s institution, sharing with colleag Add to Reading List Source URL: www.cryocity.org Language: English - Date: 2013-10-23 09:50:09 Water Special sensor microwave/imager Linear regression Science Statistics Estimation theory Symbol
537	Validating Models for Disease Detection Using Twitter Todd Bodnar Marcel Salathé Pennsylvania State University Add to Reading List Source URL: www.salathegroup.com Language: English - Date: 2013-03-27 15:51:16 Data analysis Actuarial science Twitter Influenza Linear regression Data mining Support vector machine Statistics Econometrics Regression analysis
538	THE REDUCED FORM: A SIMPLE APPROACH TO INFERENCE WITH WEAK INSTRUMENTS VICTOR CHERNOZHUKOV AND CHRISTIAN HANSEN† Abstract. In this paper, we consider simple and practical methods for performing heteroskedasticity and a Add to Reading List Source URL: faculty.chicagobooth.edu Language: English - Date: 2006-03-07 15:17:08 Regression analysis Parametric statistics Statistical inference Instrumental variable Linear regression Simultaneous equations model T-statistic Heteroscedasticity Autocorrelation Statistics Econometrics Estimation theory
539	0.1 normal: Normal Regression for Continuous Dependent Variables The Normal regression model is a close variant of the more standard least squares regression model (see Section ??). Both models specify a continuous depe Add to Reading List Source URL: perso.md2t.eu Language: English - Date: 2011-03-08 17:52:46 Statistical models Actuarial science Estimation theory Linear regression Dummy variable Least squares Errors and residuals in statistics Normal distribution Heteroscedasticity Statistics Regression analysis Econometrics
540	Contributed Paper Predicting Species Distributions from Samples Collected along Roadsides KYLE P. MCCARTHY,∗ § ROBERT J. FLETCHER JR.,∗ † CHRISTOPHER T. ROTA,†† AND RICHARD L. HUTTO‡ Add to Reading List Source URL: dbs.umt.edu Language: English - Date: 2012-10-16 16:33:59 Regression analysis Biogeography Landscape ecology Sampling Linear regression Species distribution Environmental niche modelling Bootstrapping Economic model Statistics Ecology Econometrics

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