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Regression analysis
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The concept ** Regression analysis** represents the subject, aboutness, idea or notion of resources found in **European University Institute**.

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Regression analysis
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**Regression analysis**represents the subject, aboutness, idea or notion of resources found in**European University Institute**.- Label
- Regression analysis

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- A guide to modern econometrics
- A guide to modern econometrics
- A guide to modern econometrics
- A modern approach to regression with R
- A practical introduction to regression discontinuity designs : foundations
- A second course in statistics : regression analyisis
- A, B, C's (and D)'s for understanding VARS
- An introduction to causal analysis in sociology
- An introduction to linear regression and correlation
- Analysis of incidence rates
- Analyzing qualitative/categorical data : log-linear models and latent-structure analysis
- Applied linear models with SAS
- Applied linear regression
- Applied logistic regression
- Applied logistic regression
- Applied logistic regression analysis
- Applied multiple regression/correlation analysis for the behavioral sciences
- Applied multivariate statistics with SAS software
- Applied nonparametric regression
- Applied regression : an introduction
- Applied regression : an introduction
- Applied regression : an introduction
- Applied regression analysis
- Applied regression analysis : doing, interpreting and reporting regression
- Applied regression analysis and experimental design
- Applied regression analysis and generalized linear models
- Applied regression including computing and graphics
- Applied regression modeling : a business approach
- Assessing inequality
- Bayesian regression modeling with INLA
- Bootstrap tests for regression models
- Building better econometric models using cross section and panel data
- CATS in RATS : cointegration analysis of time series
- Causes of inequality in health : who you are? where you live? or who your parents were?
- Data analysis and regression : a second course in statistics
- Data analysis using regression and multilevel/hierarchical models
- Econometric theory
- Econometrics by example
- Econometrics by example
- Economic applications of quantile regression
- Estimation of polynomial trends
- Event history analysis in demography
- Extending the linear model with R : generalized linear, mixed effects and nonparametric regression models
- First hitting time regression models : lifetime data analysis based on underlying stochastic processes
- Fixed effects regression models
- Formulas useful for linear regression analysis and related matrix theory : it's only formulas but we like them
- Handbook of advanced multilevel analysis
- Handbook of quantile regression
- Handbook of regression methods
- Heteroskedasticity in regression : detection and correction
- Inference for Vars identified with sign restriction
- Interaction effects in linear and generalized linear models : examples and applications using Stata
- Interaction effects in multiple regression
- Interaction effects in multiple regression
- Intermediate politometrics
- Interpreting and using regression
- Introduction to mediation, moderation, and conditional process analysis : a regression-based approach
- Introduction to mixed modelling : beyond regression and analysis of variance
- Introduction to statistical time series
- Introductory econometrics : a modern approach
- Introductory regression analysis : with computer application for business and economics
- LISREL approaches to interaction effects in multiple regression
- LISREL approaches to interaction effects in multiple regression
- Linear models and regression with R : an integrated approach
- Linear regression : a mathematical introduction
- Linear regression : a mathematical introduction
- Linear regression analysis
- Linear regression analysis : theory and computing
- Logistic regression : a self-learning text
- Logistische Regressionsanalyse : eine EinfÃ¼hrung
- Markov-switching MIDAS models
- Matching, regression discontinuity, difference in differences, and beyond
- Mediation analysis
- Meta-regression analysis in economics and business
- Model discrimination for nonlinear regression models
- Modeling and interpreting interactive hypotheses in regression analysis
- Modern methods for robust regression
- Modern regression techniques using R : a practical guide for students and researchers
- Mostly Harmless Econometrics : An Empiricist's Companion
- Mostly harmless econometrics : an empiricist's companion
- Multilevel analysis : techniques and applications
- Multilevel analysis : techniques and applications
- Multilevel structural equation modeling
- Multiple and generalized nonparametric regression
- Multiple regression and beyond : an introduction to multiple regression and structural equation modeling
- Multiple regression in practice
- Multiple regression in practice
- Multivariate general linear models
- Multivariate reduced-rank regression : theory and applications
- Nonlinear regression analysis and its applications
- Nonlinear statistical models
- Nonparametric predictive regression
- Nonparametric simple regression : smoothing scatterplots
- Nonparametric simple regression : smoothing scatterplots
- Nonrecursive causal models
- On robust ESACF indentification of mixed ARIMA models
- Partial identification of probability distributions
- Plots, transformations, and regression : an introduction to graphical methods of diagnostic regression analysis
- Predictions in time series using regression models
- Quantile regression
- Quantile regression
- Quantile regression : theory and applications
- Random coefficient models
- Regression : best practices and modern methods
- Regression : models, methods and applications
- Regression analysis : a constructive critique
- Regression analysis : a constructive critique
- Regression analysis : a constructive critique
- Regression analysis Microsoft Excel
- Regression analysis and linear models : concepts, applications, and implementation
- Regression analysis for the social sciences
- Regression analysis for the social sciences
- Regression analysis of count data
- Regression analysis of count data
- Regression analysis of count data
- Regression analysis with applications
- Regression and econometric methods
- Regression and principal components analysis
- Regression basics
- Regression diagnostics
- Regression diagnostics : identifying influential data and sources of collinearity
- Regression discontinuity designs : theory and applications
- Regression for Economics
- Regression for categorical data
- Regression modeling with actuarial and financial applications
- Regression models : censored, sample selected or truncated data
- Regression models : censored, sample-selected or truncated data
- Regression models for categorical and limited dependent variables
- Regression models for categorical dependent variables using Stata
- Regression with dummy variables
- Regression with graphics : a second course in applied statistics
- Regressionsmodelle zur Analyse von Paneldaten
- Residuals and influence in regression
- Robust nonlinear regression : with applications using R
- Robust regression and outlier detection
- Running regressions : a practical guide to quantitative research in economics, finance and development studies
- Running regressions : a practical guide to quantitative research in economics, finance and development studies
- Seemingly unrelated regression equations models : estimation and inference
- Semiparametric regression
- Semiparametric regression
- Semiparametric regression for the applied econometrician
- Semiparametric regression for the social sciences
- Semiparametric regression for the social sciences
- Short-memory linear processes and econometric applications
- Spatial regression models
- Spatial regression models
- Spline regression models
- Spline regression models
- Statistical inference in random coefficient regression models
- Statistical methods for forecasting
- Statistical modelling and regression structures : festschrift in honour of Ludwig Fahrmeir
- Statistical models : theory and practice
- Statistical regression and classification : from linear models to machine learning
- Stochastic parameter regression models
- Structural vector autoregressive analysis
- Super crunchers : why thinking-by-numbers is the new way to be smart
- Testing regression models based on sample survey data
- Testing the specification of the Mincer wage equation
- The GVAR handbook : structure and applications of a macro model of the global economy for policy analysis
- The GVAR handbook : structure and applications of a macro model of the global economy for policy analysis
- The SAGE handbook of regression analysis and causal inference
- The coordinate-free approach to linear models
- The linear regression model under test
- The statistical analysis of failure time data
- Time series analysis : regression techniques
- Transformation and weighting in regression
- Understanding multivariate research : a primer for beginning social scientists
- Understanding regression analysis : an introductory guide
- Understanding regression analysis : an introductory guide
- Understanding regression assumptions
- Using econometrics : a practical guide
- Using econometrics : a practical guide
- Using econometrics : a practical guide

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`<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.eui.eu/resource/F5pP5ZTsqPA/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/resource/F5pP5ZTsqPA/">Regression analysis</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.eui.eu/">European University Institute</a></span></span></span></span></div>`