Mixed-Effects Models in R An Appendix to An R Companion to Applied Regression, Second Edition John Fox - John Fox - Document - PDFSEARCH.IO

First Page		Document Content
Date: 2015-02-03 10:49:36 Estimation theory Statistical methods Parametric statistics Mixed model Linear regression Ordinary least squares Least squares Errors and residuals in statistics Heteroscedasticity Statistics Regression analysis Econometrics		Mixed-Effects Models in R An Appendix to An R Companion to Applied Regression, Second Edition John Fox & Sanford Weisberg last revision: Abstract Add to Reading List Source URL: socserv.socsci.mcmaster.ca Download Document from Source Website File Size: 727,00 KB Share Document on Facebook

	Advanced time-series analysis (University of Lund, Economic History Department) 30 Jan-3 February andMarch 2012 Lecture 7 Conditional heteroscedasticity models: ARCH and GARCH techniques and their applications. 7 DocID: 1u4tE - View Document
	INFERENCE IN HIGH DIMENSIONAL PANEL MODELS WITH AN APPLICATION TO GUN CONTROL arXiv:1411.6507v1 [stat.ME] 24 NovALEXANDRE BELLONI, VICTOR CHERNOZHUKOV, CHRISTIAN HANSEN, AND DAMIAN KOZBUR DocID: 1riRo - View Document
	An Estimate of the Liquidity Premium DocID: 1quOG - View Document
	Residual-augmented IVX predictive regression Matei Demetrescu∗ Christian-Albrechts-University of Kiel Paulo M. M. Rodrigues† Banco de Portugal and Universidade Nova de Lisboa December 29, 2015 DocID: 1quLW - View Document
	POLIIntermediate Statistics, Spring 2013 Tuesday and Thursday, 9:30-10:45, Philips Hall 222 Weekly Lab (POLI); Thursday 1:00-1:50, Saunders 322 Instructor Dr. Thomas Carsey E-mail: DocID: 1qrRv - View Document