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Simple linear regression
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51	Manual for building tree volume and biomass allometric equations: from field measurement to prediction Add to Reading List Source URL: www.globallometree.org Language: English - Date: 2013-05-27 10:20:12 Errors and residuals in statistics Simple linear regression Homoscedasticity Q-Q plot Polynomial regression Partial regression plot Statistics Regression analysis Linear regression
52	PH.D. STUDENTS, THEIR THESES TITLES & CURRENT POSITIONS 1. J.T. EysterAsymptotic Normality of Simple linear Random Rank Statistics Under the Alternatives. Worked in Public Health, State of MI. Took an earlier re Add to Reading List Source URL: www.stt.msu.edu Language: English - Date: 2013-05-24 11:45:37 Statistical inference Statistical theory Linear regression Bootstrapping Gauss Moutinho Cordeiro Statistics Econometrics Regression analysis
53	Chapter 1 A Simple, Linear, Mixed-effects Model In this book we describe the theory behind a type of statistical model called mixed-effects models and the practice of fitting and analyzing such models Add to Reading List Source URL: lme4.r-forge.r-project.org Language: English - Date: 2010-02-17 16:30:25 Estimation theory Model selection Statistical models Restricted maximum likelihood F-test Mixed model Akaike information criterion Degrees of freedom Random effects model Statistics Analysis of variance Regression analysis
54	Modeling Impression Discounting in Large-scale Recommender Systems Pei Lee, Laks V.S. Lakshmanan LinkedIn Corporation Add to Reading List Source URL: www.cs.ubc.ca Language: English - Date: 2014-06-05 10:35:17 Simple linear regression Collaborative filtering Linear regression Least squares Errors and residuals in statistics Degrees of freedom Additive model Exponential discounting Logistic regression Statistics Regression analysis Recommender system
55	Box-Cox Transformation for Simple Linear Regression Add to Reading List Source URL: ncss.wpengine.netdna-cdn.com Language: English - Date: 2015-01-06 16:07:36 Regression analysis Econometrics Data analysis Power transform Normal distribution Linear regression Plot Normality test Maximum likelihood Statistics Estimation theory Parametric statistics
56	Introduction to Statistics for Clinical Trials Regression and multiple regression Martin Bland Professor of Health Statistics University of York Add to Reading List Source URL: www-users.york.ac.uk Language: English - Date: 2014-06-30 04:36:43 Simple linear regression Logistic regression Least squares Regression Analysis of covariance Ordinary least squares Regression dilution Statistics Regression analysis Linear regression
57	g01 – Simple Calculations on Statistical Data g01epc NAG C Library Function Document nag_prob_durbin_watson (g01epc) Add to Reading List Source URL: www.softintegration.com Language: English - Date: 2004-10-25 19:49:06 Regression analysis Covariance and correlation Statistical tests Durbin–Watson statistic Autocorrelation Correlation and dependence Linear regression Durbin Statistical hypothesis testing Statistics Econometrics Time series analysis
58	g02cac g02 – Regression Analysis nag simple linear regression (g02cac) 1. Add to Reading List Source URL: www.softintegration.com Language: English - Date: 2004-10-25 19:49:07 Linear regression Residual sum of squares Coefficient of determination Errors and residuals in statistics Partition of sums of squares Degrees of freedom Explained sum of squares Fraction of variance unexplained Statistics Regression analysis Simple linear regression
59	STAT 462: Applied Regression Analysis Spring 2015, Section 001 Instructor: Lingzhou Xue Add to Reading List Source URL: stat.psu.edu Language: English - Date: 2015-04-20 09:54:08 Regression Multicollinearity Coefficient of determination Dummy variable Minitab Least squares Logistic regression Simple linear regression Outline of regression analysis Statistics Regression analysis Linear regression
60	Chapter 5: Creating the Empirical Model[removed]Linking atmospheric variability with rainfall The previous chapters of this thesis have contained a description of the creation of a set of variables for use in an empirical Add to Reading List Source URL: www.cru.uea.ac.uk Language: English - Date: 2009-12-22 04:43:49 Linear regression Deviance Degrees of freedom Errors and residuals in statistics Least squares Analysis of variance Simple linear regression Marginal model Nonparametric regression Statistics Regression analysis Generalized linear model

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