Multicollinearity and Model Misspecification Christopher Winship, Bruce Western Harvard University Abstract: Multicollinearity in linear regression is typically thought of as a problem of large standard errors due to nea

Source URL: www.sociologicalscience.com

CSIRO PUBLISHING www.publish.csiro.au/journals/ajsr Australian Journal of Soil Research, 2003, 41, 1403–1422

Source URL: www.css.cornell.edu

• Statistics
• Regression analysis
• Estimation theory
• Linear regression
• Mean squared error
• Errors and residuals
• Autocorrelation
• Prediction
• Sampling
• Multicollinearity
• Regression-Kriging

Market Share Rewards to Pioneering Brands: An Empirical Analysis and Strategic Implications Glen L. Urban; Theresa Carter; Steven Gaskin; Zofia Mucha Management Science, Vol. 32, No. 6. (Jun., 1986), ppStable

Source URL: ebusiness.mit.edu

• Marketing
• Brand management
• Communication design
• Product management
• Market segmentation
• Positioning
• Advertising
• Linear regression
• Pricing
• Brand
• Multicollinearity
• Store brand

S-values: Conventional measures of the sturdiness of the signs regression coefficients Ed Leamer December 2015 BITSS: Berkeley Related Paper

Source URL: www.bitss.org

• Regression analysis
• Statistics
• Estimation theory
• Parametric statistics
• Actuarial science
• Single-equation methods
• Linear regression
• Correlation and dependence
• Least squares
• Coefficient of determination
• Multicollinearity

January 21, 2011 8:45 WSPCAADA S1793536910000574 Advances in Adaptive Data Analysis Vol. 2, No–462

Source URL: rcada.ncu.edu.tw

• Regression analysis
• Statistics
• Linear regression
• Multicollinearity
• Logistic regression
• Ordinary least squares
• Nonlinear regression
• Residual sum of squares
• Data transformation
• Multinomial logistic regression
• Dummy variable

Coefficient shifts in geographical ecology: an empirical evaluation of spatial and non-spatial regression

Source URL: islandlab.uac.pt

• Regression analysis
• Linear regression
• Ordinary least squares
• Coefficient of determination
• Autocorrelation
• Correlation and dependence
• GaussMarkov theorem
• Multicollinearity
• Standardized coefficient
• Residual sum of squares
• Generalized least squares
• Factor analysis

Mgmt 469 Model Specification: Choosing the Right Variables for the Right Hand Side Even if you have only a handful of predictor variables to choose from, there are infinitely many ways to specify the right hand side of a

Source URL: www.kellogg.northwestern.edu

• Regression analysis
• Multicollinearity
• Variance inflation factor
• Dummy variable
• Interaction
• Omitted-variable bias
• Dependent and independent variables
• Categorical variable
• Linear regression
• Spike-and-slab variable selection

Microsoft PowerPoint - SC6_SN.ppt

Source URL: www.spaceclimate.fi

• Regression analysis
• Statistics
• Estimation theory
• Parametric statistics
• Solar phenomena
• Linear regression
• Multicollinearity
• Ordinary least squares
• Wolf number
• Homoscedasticity
• Sunspot

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING Comments on “Researcher Bias: The Use of Machine Learning in Software Defect Prediction” Chakkrit Tantithamthavorn, Student Member, IEEE,

Source URL: sail.cs.queensu.ca

• Regression analysis
• Econometrics
• Parametric statistics
• Scientific method
• Statistical methods
• Analysis of variance
• Linear regression
• Multicollinearity
• Prediction
• Coefficient of determination
• Data analysis
• Statistical classification

Induced Traffic: Review of the explanatory models Philipp Fröhlich, ETH Zürich Conference paper STRC 2003 Session Microsimulation

Source URL: www.strc.ch

• Regression analysis
• Economics
• Statistics
• Economy
• Transport economics
• Estimation theory
• Statistical models
• Causality
• Multicollinearity
• Linear regression
• Elasticity
• Econometrics