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Regression analysis
Resource Information
The concept ** Regression analysis** represents the subject, aboutness, idea or notion of resources found in **Boston University Libraries**.

The Resource
Regression analysis
Resource Information

The concept

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

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- (uri) http://id.loc.gov/authorities/subjects/sh85112392

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- A distribution-free theory of nonparametric regression
- A general procedure for the specification, estimation and graphical presentations of the hazard regression model
- A modern approach to regression with R
- Adaptive regression
- Adaptive tests of significance using permutations of residuals with R and SAS
- Against all odds, 30, Inference for regression
- Algunos problemas de formalización y estimación en modelos de regresión con variables cualitativas, aplicadas a la investigación social
- An application of the linear regression technique for determining length and weight of six fish taxa : the role of selected fish species in Aleut paleodiet
- Analysis of covariance and alternatives : statistical methods for experiments, quasi-experiments, and single-case studies
- Analyzing environmental data
- Applications of fuzzy sets and fuzzy logic in regression analysis
- Applications of regression models in public health
- Applied categorical and count data analysis
- Applied linear regression
- Applied logistic regression
- Applied logistic regression
- Applied logistic regression
- Applied multiple regression/correlation analysis for the behavioral sciences
- Applied multivariate statistics with SAS software
- Applied quantitative analysis in education and the social sciences
- Applied regression analysis
- Applied regression analysis
- Applied regression analysis
- Applied regression analysis : a second course in business and economic statistics
- Applied regression analysis and experimental design
- Applied regression analysis and generalized linear models
- Applied regression analysis and other multivariable methods
- Applied statistics : analysis of variance and regression
- Bayesian methods for nonlinear classification and regression
- Bayesian smoothing and regression for longitudinal, spatial and event history data
- Bias in ecologic and semi-individual studies
- Business applications of multiple regression
- Challenges in analytical quality assurance
- Circular and linear regression : fitting circles and lines by least squares
- Comparison of logistic regression and discriminant analysis as emergency room decision models for the diagnosis of acute coronary disease
- Data analysis using regression and multilevel/hierarchical models
- Econometría aplicada : usando stata 13
- Economic applications of quantile regression
- Empirical Bayes estimates of parameters from the logistic regression model
- Estimating interaction effects with multiple regression
- Estimating linear regressions with mismeasured, possibly endogenous, binary explanatory variables
- Estimation of functions in generalized additive models using conditional median
- Evaluation of the Shreveport predictive policing experiment
- Evaluation of the Shreveport predictive policing experiment
- Fitting models to biological data using linear and nonlinear regression : a practical guide to curve fitting
- Flexible simulated moment estimation of nonlinear errors-in-variables models
- Focus on nonlinear analysis research
- Generalized additive models
- Growth curve analysis and visualization using R
- Growth curve modeling : theory and applications
- Growth curve modeling : theory and applications
- Hierarchical linear modeling
- Image processing and jump regression analysis
- Introduction to linear regression analysis
- Introduction to linear regression analysis
- Introduction to mediation, moderation, and conditional process analysis : a regression-based approach
- Introduction to mixed modelling : beyond regression and analysis of variance
- Introductory regression analysis : with computer application for business and economics
- Linear models : an integrated approach
- Linear regression
- Linear regression analysis : theory and computing
- Local regression and likelihood
- Matching, regression discontinuity, difference in differences, and beyond
- Maximum penalized likelihood estimation
- Meta-regression analysis in economics and business
- Methods and applications of linear models : regression and the analysis of variance
- Modeling and interpreting interactive hypotheses in regression analysis
- Modello Lineare : Teoria e Applicazioni con R
- 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
- Multiple regression and the analysis of variance and covariance
- Multiple regression with discrete dependent variables
- Multiple regression with discrete dependent variables
- Multivariate nonparametric regression and visualization : with R and applications to finance
- Multivariate reduced-rank regression : theory and applications
- Optimal design for nonlinear response models
- Ordered regression models : parallel, partial, and non-parallel alternatives
- Partial identification of probability distributions
- Performance of alternative statistical models for bivariate binary data in samples of small and moderate size
- Post-[script l]1-penalized estimators in high-dimensional linear regression models
- Proportional hazards regression
- Prämien in Bonusprogrammen : eine empirische Untersuchung
- Quantile regression
- Quantile regression
- Quantile regression : theory and applications
- Quantitative methods in population health : extensions of ordinary regression
- Random coefficient autoregressive models : an introduction
- Regression : linear models in statistics
- 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 empirical processes
- Regression analysis by example
- Regression analysis of count data
- Regression analysis.
- Regression and time series model selection
- Regression basics
- Regression discontinuity designs : theory and applications
- Regression estimation from grouped observations
- Regression for categorical data
- Regression for economics
- Regression methods for medical research
- Regression modeling strategies : with applications to linear models, logistic regression, and survival analysis
- Regression models as a tool in medical research
- Regression models for limited range dependent variables
- Regression models for time series analysis
- Regressionsanalysen mit R
- Robust diagnostic regression analysis
- Robustness and power of analysis of covariance applied to data distorted from normality by floor effects and to ordinal scaled data
- Semiparametric regression
- Semiparametric regression for the applied econometrician
- Sensitivity analysis in linear regression
- Spatial regression analysis using eigenvector spatial filtering
- Statistical learning from a regression perspective
- Statistical methods in biology : design and analysis of experiments and regression
- Statistical tools for nonlinear regression : a practical guide with S-PLUS and R examples
- Statistics with JMP : hypothesis tests, ANOVA, and regression
- Super crunchers : why thinking-by-numbers is the new way to be smart
- The Birnbaum-Saunders distribution
- The GVAR handbook : structure and applications of a macro model of the global economy for policy analysis
- The coordinate-free approach to linear models
- The gradient test : another likelihood-based test
- The roots of backpropagation : from ordered derivatives to neural networks and political forecasting
- Using classification and regression trees : a practical primer / Xin Ma
- Using econometrics : a beginner's guide
- Weighted empirical processes in dynamic nonlinear models
- Weighted empiricals and linear models
- Weiterführende statistische methoden für politikwissenschaftler : eine anwendungsbezogene einführung mit stata

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