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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 **Sydney Jones Library, University of Liverpool**.

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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**Sydney Jones Library, University of Liverpool**.- Label
- Regression analysis

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- A guide to modern econometrics
- A guide to modern econometrics
- A practical introduction to regression discontinuity designs : foundations
- A primer on regression artifacts
- Adaptive regression
- Adaptive regression for modeling nonlinear relationships
- Adaptive tests of significance using permutations of residuals with R and SAS
- Advances in order restricted statistical inference
- Algunos problemas de formalización y estimación en modelos de regresión con variables cualitativas, aplicadas a la investigación social
- An introduction to econometrics
- An introduction to linear regression and correlation
- Analysis of covariance and alternatives : statistical methods for experiments, quasi-experiments, and single-case studies
- Analysis of failure and survival data
- Analysis of variance, design and regression: applied statistical methods
- Applications of regression models in public health
- Applied Nonparametric Regression
- Applied analysis
- Applied linear models with SAS
- Applied linear regression
- Applied linear regression
- Applied linear statistical models: regression, analysis of variance, and experimental designs
- Applied logistic regression
- Applied logistic regression
- Applied logistic regression
- Applied logistic regression analysis
- Applied multiple regression/correlation analysis for the behavioral sciences
- Applied multiple regression/correlation analysis for the behavioral sciences
- Applied multiple regression/correlation analysis for the behavioral sciences
- Applied nonparametric regression
- Applied quantitative analysis in education and the social sciences
- Applied regression : an introduction
- Applied regression : an introduction
- Applied regression analysis
- Applied regression analysis
- Applied regression analysis and experimental design
- Applied regression analysis and generalized linear models
- Applied regression analysis and other multivariable methods
- Applied regression analysis and other multivariable methods
- Applied regression analysis for business and economics
- Applied regression analysis in econometrics
- Applied regression analysis: a research tool
- Applied regression modeling
- Applied regression modeling
- Applied regression modeling
- Applied regression: an introduction
- Applying regression and correlation : a guide for students and researchers
- Assessing inequality
- Bayesian estimation and experimental design in linear regression models
- Bayesian methods for nonlinear classification and regression
- Bayesian regression modeling with INLA
- Best fit lines and curves : and some mathe-magical transformations
- Best fit lines and curves, and some mathe-magical transformations
- Bilinear regression analysis : an introduction
- Bootstrap tests for regression models
- Business analysis using regression : a casebook
- Business applications of multiple regression
- Business applications of multiple regression
- Business control through multiple regression analysis: atechnique for the numerate manager
- Classification and regression trees
- Clinical prediction models : a practical approach to development, validation, and updating
- Conditioning diagnostics : collinearity and weak data in regression
- Data analysis and regression : a second course in statistics
- Data analysis for research designs : analysis of variance and multiple regression/correlation approaches
- Data analysis using regression and multilevel/hierarchical models
- Discovering partial least squares with JMP
- Dynamic regression models for survival data
- Economic applications of quantile regression
- Einfache lineare Regression : die Grundlage für komplexe Regressionsmodelle verstehen
- Evaluation of the Shreveport predictive policing experiment
- Event history analysis in demography
- Event history analysis with R
- Extending the linear model with R : generalized linear, mixed effects and nonparametric regression models
- Fitting models to biological data using linear and nonlinear regression : a practical guide to curve fitting
- Fixed effects regression methods for longitudinal data using SAS
- Fixed effects regression models
- Fixed effects regression models
- Focus on nonlinear analysis research
- Forecasting with dynamic regression models
- Formulas useful for linear regression analysis and related matrix theory
- From basic survival analytic theory to a non-standard application
- Fundamentals of data analysis
- Generalized additive models
- Generalized additive models
- Growth curve modeling : theory and applications
- Handbook of nonlinear regression models
- Heteroskedasticity in regression
- Human action analysis with randomized trees
- Image processing and jump regression analysis
- Industrial and business forecasting methods: a practical guide to exponential smoothing and curve fitting
- Instrumental variables
- Interaction effects in multiple regression
- Interaction effects in multiple regression
- Interpretability of computational intelligence-based regression models
- Interpreting and using regression
- Introduction to Linear Regression Analysis
- Introduction to linear models
- Introduction to linear regression analysis
- Introduction to mediation, moderation, and conditional process analysis : a regression-based approach
- Introduction to mediation, moderation, and conditional process analysis : a regression-based approach
- Introduction to mediation, moderation, and conditional process analysis : a regression-based approach
- Introduction to mixed modelling : beyond regression and analysis of variance
- Introduction to regression analysis
- Introduction to statistical time series
- 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
- Least absolute deviations: theory, applications, and algorithms
- Linear and nonlinear models : fixed effects, random effects, and total least squares
- Linear models : an integrated approach
- Linear models with R
- Linear models with R
- Linear regression
- Linear regression analysis
- Linear regression analysis : theory and computing
- Linear regression in geography
- Linear statistical models and related methods: with applications to social research
- Local polynomial modelling and its applications
- Logistic regression : a self-learning text
- Longitudinal categorical data analysis
- Matching, regression discontinuity, difference in differences, and beyond
- Measurement error in nonlinear models
- Measurement error models
- Measurement, regression and calibration
- Mediation analysis
- Mediation analysis
- Meta-regression analysis in economics and business
- Methods and applications of linear models : regression and the analysis of variance
- Model discrimination for nonlinear regression models
- Model-based recursive partitioning with adjustment for measurement error : applied to the Cox's Proportional Hazards and Weibull Model
- Model-free prediction and regression : a transformation-based approach to inference
- Modeling and interpreting interactive hypotheses in regression analysis
- Modello Lineare : Teoria e Applicazioni con R
- Models in regression and related topics
- Modern methods for robust regression
- Modern methods for robust regression
- Modern regression methods
- Modern regression techniques using R : a practical guide for students and researchers
- 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 for applied research : it's just regression!
- Multiple and generalized nonparametric regression
- Multiple and generalized nonparametric regression
- Multiple regression and the analysis of variance and covariance
- Multiple regression in behavioral research
- Multiple regression in behavioral research: explanation and prediction
- Multiple regression in practice
- Multiple regression in practice
- Multiple regression with discrete dependent variables
- Multivariable model-building : a pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables
- Multivariate general linear models
- Multivariate nonparametric regression and visualization : with R and applications to finance
- Nonlinear regression
- Nonlinear regression analysis and its applications
- Nonlinear regression modeling: a unified practical approach
- Nonlinear statistical models
- Nonparametric regression analysis of longitudinal data
- Nonparametric regression and generalized linear models: a roughness penalty approach
- Nonparametric simple regression : smoothing scatterplots
- Nonparametric simple regression : smoothing scatterplots
- Nonrecursive causal models
- Operationalizing dynamic pricing models : bayesian demand forecasting and customer choice modeling for low cost carriers
- Optimal design : an introduction to the theory for parameter estimation
- Order restricted statistical inference
- Ordered regression models : parallel, partial, and non-parallel alternatives
- Practical longitudinal data analysis
- Proportional hazards regression
- Proportional hazards regression
- Prämien in Bonusprogrammen : eine empirische Untersuchung
- Quantile regression
- Quantile regression
- Quantile regression : theory and applications
- Quantile regression for spatial data
- Quantitative forecasting methods
- Random coefficient models
- Recent advances in linear models and related areas
- Recent advances in regression analysis
- Recent advances in regression methods
- Regression : linear models in statistics
- Regression : models, methods and applications
- Regression analysis
- Regression analysis : a constructive critique
- Regression analysis : statistical modeling of a response variable
- Regression analysis : theory, methods and applications
- Regression analysis : understanding and building business and economic models using Excel
- Regression analysis : understanding and building business and economic models using Excel
- Regression analysis : understanding and building business and economic models using Excel
- Regression analysis : understanding and building business and economic models using Excel
- Regression analysis : unified concepts, practical applications, and computer implementation
- Regression analysis and its application: a data-oriented approach
- Regression analysis by example
- Regression analysis by example
- Regression analysis by example
- Regression analysis by example
- Regression analysis by example
- Regression analysis by example
- Regression analysis by example.
- Regression analysis in medical research : for Starters and 2nd Levelers
- Regression analysis of count data
- Regression analysis of count data
- Regression analysis of count data
- Regression analysis of survival data in cancer chemotherapy
- Regression analysis under a priori parameter restrictions
- Regression analysis with Python : learn the art of regression analysis with Python
- Regression analysis with applications
- Regression and econometric methods
- Regression and factor analysis applied in econometrics
- Regression and other stories
- Regression and time series model selection
- Regression basics
- Regression basics
- Regression diagnostics
- Regression diagnostics
- Regression diagnostics: identifying influential data and sources of collinearity
- Regression discontinuity designs : theory and applications
- Regression discontinuity designs : theory and applications
- Regression estimation from grouped observations
- Regression for categorical data
- Regression for economics
- Regression methods : a tool for data analysis
- Regression methods for medical research
- Regression methods in biostatistics : linear, logistic, survival, and repeated measures models
- Regression methods in biostatistics : linear, logistic, survival, and repeated measures models
- Regression methods in biostatistics : linear, logistic, survival, and repeated measures models
- Regression modeling strategies : with applications to linear models, logistic regression, and survival analysis
- Regression modeling with actuarial and financial applications
- Regression models : censored, sample-selected or truncated data
- Regression models as a tool in medical research
- Regression models for categorical and count data
- Regression models for categorical dependent variables using Stata
- Regression models for time series analysis
- Regression models: censored, sample-selected or truncated data
- Regression with dummy variables
- Regression with dummy variables
- Regression with linear predictors
- Regression: a second course in statistics
- Regressionsanalysen mit R
- Research design for program evaluation: the regression-discontinuity approach
- Residuals and influence in regression
- Robust diagnostic regression analysis
- Robust nonlinear regression : with application using R
- Robust regression and outlier detection
- Robust regression: analysis and applications
- Running regressions : a practical guide to quantitative research in economics, finance and development studies
- Scala for machine learning : data processing, ML algorithms, smart analytics, and more
- Seemingly unrelated regression equations models: estimation and inference
- Semiparametric regression for the applied econometrician
- Semiparametric regression with R
- Sensitivity analysis in linear regression
- Spatial regression models
- Spline regression models
- Spline regression models
- Spline smoothing and nonparametric regression
- Statistical inference for models with multivariate t-distributed errors
- Statistical inference under order restrictions: the theory and application of isotonic regression
- Statistical learning from a regression perspective
- Statistical learning from a regression perspective
- Statistical learning from a regression perspective
- Statistical modeling for degradation data
- Statistical modelling and regression structures : festschrift in honour of Ludwig Fahrmeir
- Statistical models : theory and practice
- Statistical tools for nonlinear regression : a practical guide with S-PLUS and R examples
- Statistical tools for nonlinear regression : a practical guide with S-PLUS examples
- Statistics with JMP : hypothesis tests, ANOVA, and regression
- Stochastic approximation and nonlinear regression
- Stochastic parameter regression models
- Structural vector autoregressive analysis
- Subset selection in regression
- The Birnbaum-Saunders distribution
- The GVAR handbook : structure and applications of a macro model of the global economy for policy analysis
- The art of regression modeling in road safety
- The coordinate-free approach to linear models
- The statistical analysis of failure time data
- Time series analysis : regression techniques
- Transformation and weighting in regression
- Understanding regression analysis : an introductory guide
- Understanding regression analysis : an introductory guide
- Understanding regression analysis: an introductory guide
- Understanding regression assumptions
- Understanding regression assumptions
- Using econometrics : a practical guide
- Using econometrics: a practical guide
- Valuing businesses using regression analysis : a quantitative approach to the guideline company transaction method
- Vector generalized linear and additive models : with an implementation in R
- Weighted empiricals and linear models
- Weiterführende statistische methoden für politikwissenschaftler : eine anwendungsbezogene einführung mit stata

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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.liverpool.ac.uk/resource/F5pP5ZTsqPA/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/resource/F5pP5ZTsqPA/">Regression analysis</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">Sydney Jones Library, University of Liverpool</a></span></span></span></span></div>`