Regression analysis.
Overview
Works: | 49 works in 23 publications in 23 languages |
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Titles
Regression diagnostics: identifying influential data and sources of collinearity
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Multiple regression with discrete dependent variables[electronic resource] /
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Mostly harmless econometrics[electronic resource] :an empiricist's companion /
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Regression analysis under a priori parameter restrictions[electronic resource] /
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Regression methods in biostatistics[electronic resource] :linear, logistic, survival, and repeated measures models /
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Bayesian smoothing and regression for longitudinal, spatial and event history data[electronic resource] /
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Confidence intervals in generalized regression models[electronic resource] /
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Linear regression analysis[electronic resource] :theory and computing /
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Multivariable model-building[electronic resource] :a pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables /
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Statistical data analysis[electronic resource] :a practical guide /
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The GVAR Handbook[electronic resource] :Structure and Applications of a Macro Model of the Global Economy for Policy Analysis /
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Modeling and interpreting interactive hypotheses in regression analysis[electronic resource] /
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The art of regression modeling in road safety[electronic resource] /
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Model-based recursive partitioning with adjustment for measurement error[electronic resource] :applied to the Cox's Proportional Hazards and Weibull Model /
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Adaptive tests of significance using permutations of residuals with R and SAS[electronic resource] /
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Statistical inference for models with multivariate t-distributed errors[electronic resource] /
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Introduction to mixed modelling[electronic resource] :beyond regression and analysis of variance /
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Quantile regression[electronic resource] :theory and applications /
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Introduction to mediation, moderation, and conditional process analysis :a regression-based approach /
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Regression modeling strategies[electronic resource] :with applications to linear models, logistic and ordinal regression, and survival analysis /
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Interpretability of computational intelligence-based regression models[electronic resource] /
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Vector generalized linear and additive models[electronic resource] :with an implementation in R /
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Model-free prediction and regression[electronic resource] :a transformation-based approach to inference /
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Data analysis using regression and multilevel/hierarchical models /
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Applied quantitative analysis in education and the social sciences[electronic resource] /
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Adaptive regression for modeling nonlinear relationships[electronic resource] /
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Statistical learning from a regression perspective[electronic resource] /
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Understanding regression analysis[electronic resource] :a conditional distribution approach /
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Quantile regression.[electronic resource] :estimation and simulation /Volume 2
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Spatial regression analysis using Eigenvector spatial filtering[electronic resource] /
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Subjects