#
Regression analysis
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The concept ** Regression analysis** represents the subject, aboutness, idea or notion of resources found in **Massey University Library, University of New Zealand**.

The Resource
Regression analysis
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The concept

**Regression analysis**represents the subject, aboutness, idea or notion of resources found in**Massey University Library, University of New Zealand**.- Label
- Regression analysis

## Context

Context of Regression analysis#### Subject of

- A beginner's guide to structural equation modeling
- A comparison of alternatives to regression analysis as model building techniques to develop predictive equations for software metrics
- A comparison of four classification methods : linear and quadratic discriminant analysis, CART and FACT
- A correlation procedure for augmenting hydrologic data,
- A fuzzy regression model for forecasting
- A guide to modern econometrics
- A linear filtering theory approach to recursive credibility estimation
- A modified fluctuation test for structural change
- A second course in statistics : regression analyisis
- A second course in statistics : regression analysis
- A second course in statistics : regression analysis
- A small sample variable selection procedure
- Adaptive regression
- Adaptive tests of significance using permutations of residuals with R and SAS
- Alternative methods of regression
- Alternative methods of regression
- An introduction to computational statistics : regression analysis
- An introduction to correlation & regression
- An introduction to linear regression and correlation
- An introduction to regression diagnostics
- An introduction to statistical modelling
- An introduction to the use of simultaneous-equation regression analysis in geography
- An unbiased estimator of the covariance matrix of the mixed regression estimator
- Analysis of covariance and comparison of regression lines
- Analysis of variance, design and regression : applied statistical methods
- Analysis of variance, design, and regression : linear modeling for unbalanced data
- Analyzing categorical data
- Analyzing environmental data
- Analyzing environmental data
- Analyzing experimental data by regression
- Applications of regression models in epidemiology
- Applied Regression Modeling : a Business Approach
- 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 analysis
- Applied logistic regression analysis
- Applied longitudinal analysis
- Applied multiple regression/correlation analysis for the behavioral sciences
- Applied multivariate statistics with SAS software
- Applied multivariate statistics with SAS software
- Applied nonparametric regression
- Applied regression : an introduction
- Applied regression : an introduction / | Colin Lewis-Beck, Michael S. Lewis-Beck
- Applied regression analysis
- Applied regression analysis
- Applied regression analysis : a research tool
- Applied regression analysis : a second course in business and economic statistics
- Applied regression analysis and experimental design
- Applied regression analysis and other multivariable methods
- Applied regression including computing and graphics
- Applied regression modeling
- Applied regression modeling : a business approach
- Applied statistics : analysis of variance and regression
- Applied statistics : regression and analysis of variance
- Applying regression & correlation : a guide for students and researchers
- Assessing inequality
- Bayesian analysis of multivariate count data
- Bayesian estimation and experimental design in linear regression models
- Bayesian methods for nonlinear classification and regression
- Bayesian semiparametric regression : an exposition and application to print advertising data
- Bayesian smoothing and regression for longitudinal, spatial and event history data
- Bayesian statistical variable selection : a review
- Bounds on the effect of heteroscedasticity on the Chow test for structural change
- Business analysis using regression : a casebook
- Call center forecasting : linear regression models
- Classical and modern regression with applications
- Classification and regression trees
- Coefficient sign changes when restricting regression models under instrumental variables estimation
- Correlation & simple regression
- Correlation and regression
- Correlation and regression - Pearson
- Correlation and regression - Pearson
- Correlation and regression - Spearman
- Data analysis and regression : a second course in statistics
- Data analysis using regression and multilevel/hierarchical models
- Data analysis using regression models : the business perspective
- Deriving tests of the semi-linear regression model using the density function of a maximal invariant
- Distance decay in spatial interactions
- Dynamic seemingly unrelated cointegrating regression
- Econometric theory
- Econometrics by example
- Estimating the error variance in regression after a preliminary test of restrictions on the coefficients
- Estimation of regression disturbances based on minimum message length
- Estimation of the error variance after a preliminary-test of homogeneity in a regression model with spherically symmetric disturbances
- Estimation of the regression scale after a pre-test for homoscedasticity under linex loss
- Estimation of the scale parameter after a pre-test for homogeneity in a mis-specified regression model
- Evaluation of the Shreveport predictive policing experiment
- Expert trading systems : modeling financial markets with kernel regression
- Extending the linear model with R : generalized linear, mixed effects and nonparametric regression models
- Feature selection via the discovery of simple classification rules
- First hitting time regression models : lifetime data analysis based on underlying stochastic processes
- Fitting curves to data
- Fitting models to biological data using linear and nonlinear regression : a practical guide to curve fitting
- Fitting models to biological data using linear and nonlinear regression : a practical guide to curve fitting
- Fixed effects regression models
- Fixed effects regression models
- Focus on nonlinear analysis research
- Forecasting with dynamic regression models
- Forecasting with dynamic regression models
- Fuzzy regression analysis
- Gaussian process regression analysis for functional data
- Generalized additive models
- Generating rule sets from model trees
- Growth curve analysis and visualization using R
- Growth curve modeling : theory and applications
- Hachemeister's Bayesian regression model revisited
- Handbook of nonlinear regression models
- Handbook of quantile regression
- Handbook of regression methods
- Heteroskedasticity in regression : detection and correction
- Higher order approximations for frequency domain time series regression
- How to use regression analysis in quality control
- Image processing and jump regression analysis
- In pursuit of a suitable alternative to least squares estimation in normal linear models : a thesis ... for the degree of Master of Science in Statistics at Massey University
- Industrial and business forecasting methods : a practical guide to exponential smoothing and curve fitting
- Instrumental variables regression without an intercept
- Interaction effects in multiple regression
- Interaction effects in multiple regression
- Interpretability of computational intelligence-based regression models
- Interpretation of regression coefficients
- Interpreting and using regression
- Introduction to Mixed Modelling : Beyond Regression and Analysis of Variance
- 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
- Introduction to regression analysis
- Introduction to regression model
- Introduction to statistical time series
- Introduction to statistical time series
- Introductory econometrics : a modern approach
- LAD regression under non-standard conditions
- LISREL approaches to interaction effects in multiple regression
- Least absolute deviations : theory, applications, and algorithms
- Linear models : an integrated approach
- Linear models with R
- Linear regression
- Linear regression : a mathematical introduction
- Linear regression analysis
- Linear regression analysis
- Linear regression analysis : theory and computing
- Linear regression in geography
- Local polynomial modelling and its applications
- Local regression and likelihood
- Logistic regression : a self-learning text
- Logistic regression : a self-learning text
- Marginal likelihood based tests of a subvector of the parameter vector of linear regression disturbances
- Matching, regression discontinuity, difference in differences, and beyond
- Measurement error in nonlinear models
- Measurement error in nonlinear models : a modern perspective
- Measurement error models
- Measurement error models
- Measurement, regression, and calibration
- Mediation analysis
- Meta-regression analysis in economics and business
- Methods and applications of linear models : regression and the analysis of variance
- Methods and applications of linear models : regression and the analysis of variance
- Methods and applications of linear models : regression and the analysis of variance
- Mixed model-based hazard estimation
- Model-based recursive partitioning with adjustment for measurement error : applied to the Cox's Proportional Hazards and Weibull Model
- Modeling and interpreting interactive hypotheses in regression analysis
- Modern methods for robust regression
- Modern regression methods
- Modern regression techniques using R : a practical guide for students and researchers
- Modified likelihood and related methods for handling nuisance parameters in the linear regression model
- Mostly harmless econometrics : an empiricist's companion
- Multilevel analysis : techniques and applications
- Multilevel analysis for applied research : it's just regression!
- Multilevel structural equation modeling
- Multiple and generalized nonparametric regression
- Multiple regression
- Multiple regression : a primer
- Multiple regression : testing and interpreting interactions
- Multiple regression and analysis of variance : an introduction for computer users in management and economics
- Multiple regression and beyond : an introduction to multiple regression and structural equation modeling
- Multiple regression and the analysis of variance and covariance
- Multiple regression in behavioral research : explanation and prediction
- Multiple regression in practice
- Multivariable model-building : a pragmatic approach to regression analysis based on fractional polynomials for modelling continuous variables
- Multivariate general linear models
- Naive Bayes for regression
- Nonlinear regression
- Nonlinear regression analysis and its applications
- Nonlinear regression modeling : a unified practical approach
- Nonlinear regressions with integrated time series
- Nonlinear statistical models
- Nonlinear statistical models
- Nonlinear statistical models
- Nonparametric regression and generalized linear models : a roughness penalty approach
- Nonparametric regression and spline smoothing
- Nonparametric seemingly unrelated regression
- Nonparametric simple regression : smoothing scatterplots
- Nonrecursive causal models
- Operationalizing dynamic pricing models : bayesian demand forecasting and customer choice modeling for low cost carriers
- Optimal critical values of a preliminary test for linear restrictions in a regression model with multivariate student-t disturbances
- Optimal design : an introduction to the theory for parameter estimation
- Order restricted statistical inference
- Ordinal methods for behavioral data analysis
- Pace regression
- Parameter estimation in semi-linear models using a maximal invariant likelihood function
- Performance of the Stein-rule estimators when the disturbances are misspecified as homoscedastic
- Plots, transformations, and regression : an introduction to graphical methods of diagnostic regression analysis
- Power and robustness of alternative versions of the Goldfeld quandt test
- Practical guide to logistic regression
- Practical longitudinal data analysis
- Pre-test estimation in regression under absolute error loss
- Pre-testing for linear restrictions in a regression model with spherically symmetric disturbances
- Pre-testing for linear restrictions in a regression model with student-t errors
- Pre-testing in a mis-specified regression model
- Predicting vegetation condition and weed distributions for systematic conservation management : an application of GRASP in the central South Island, New Zealand
- Predictions in time series using regression models
- Preliminary test estimation of mis-specified regression models
- Preliminary-test estimation of the error variance in linear regression
- Preliminary-test estimation of the regression scale parameter when the loss function is asymmetric
- Primer of applied regression and analysis of variance
- Principles of regression analysis
- Quantile regression
- Quantile regression for spatial data
- Quantitative methods in population health : extensions of ordinary regression
- R-squared and root mean squared error (RMSE)
- Random coefficient autoregressive models : an introduction
- Random coefficient models
- Regression & linear modeling : best practices and modern methods
- Regression : models, methods and applications
- Regression analysis
- Regression analysis : a constructive critique
- Regression analysis : a constructive critique
- Regression analysis : concepts and applications
- Regression analysis : statistical modeling of a response variable
- Regression analysis : statistical modeling of a response variable
- Regression analysis : theory, methods and applications
- Regression analysis Microsoft® Excel®
- Regression analysis and its application : a data-oriented approach
- Regression analysis by example
- Regression analysis by example
- Regression analysis for social sciences
- Regression analysis for the social sciences
- Regression analysis in medical research : for Starters and 2nd Levelers
- Regression analysis of count data
- Regression analysis of survival data in cancer chemotherapy
- Regression analysis with applications
- Regression and econometric methods
- Regression and linear models
- Regression and the Moore-Penrose pseudoinverse
- Regression and time series model selection
- Regression basics
- Regression basics
- Regression basics
- Regression diagnostics
- Regression diagnostics : identifying influential data and sources of collinearity
- Regression estimation from grouped observations
- Regression for categorical data
- Regression methods : a tool for data analysis
- Regression methods applied
- Regression methods for medical research
- Regression modeling strategies : with applications to linear models, logistic and ordinal regression, and survival analysis
- 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 dependent variables using Stata
- Regression models for time series analysis
- Regression with dummy variables
- Regression with graphics : a second course in applied statistics
- Regression with social data : modeling continuous and limited response variables
- Regression, ANOVA, and the general linear model : a statistics primer
- Residual analysis : an example of a distorted pattern
- Residual diagnostic plots for checking for model mis-specification in time series regression
- Residuals and influence in regression
- Robust regression and outlier detection
- Robustness of the ARCH tests in the presence of serial correlation
- Sample size determination and power
- Semiparametric regression
- Semiparametric regression for the applied econometrician
- Semiparametric regression for the social sciences
- Sensitivity analysis in linear regression
- Short-memory linear processes and econometric applications
- Small-sample power of tests for inequality restrictions : the case of quarter-dependent regression analysis
- Smoothing and regression : approaches, computation, and application
- Some consequences of applying the Goldfeld-Quandt test to mis-specified regression models
- Some consequences of using the Chow test in the context of autocorrelated disturbances
- Spatial regression models
- Spline regression models
- Spurious regressions between stationary series : some further investigations
- Statistical analysis of experimental data : model I and model II regression for prediction and calibration
- 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 methods : the geometric approach
- Statistical methods for forecasting
- Statistical methods for forecasting
- Statistical modeling : applications in contemporary issues
- Statistical models : theory and practice
- Statistical regression with measurement error
- 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 parameter regression models
- Structural vector autoregressive analysis
- Subset selection in regression
- Subset selection in regression
- Summary of regression models
- Super crunchers : why thinking-by-numbers is the new way to be smart
- Testing AR(1) against MA(1) disturbances in the dynamic linear regression model
- Testing and estimation with seasonal autoregressive mis-specification
- Testing for AR(p) against IMA(1,q) disturbances in the linear regression model
- Testing for ARCH-GARCH errors in a mis-specified regression
- Testing for serial correlation in the presence of conditional heteroskedasticity
- Testing for serial correlation in the presence of dynamic heteroscedasticity
- Testing for structural change in cointegrated regression models : some comparisions and generalizations
- Testing linear restrictions on coefficients in a linear regression model with proxy variables and spherically symmetric disturbances
- Testing regression models based on sample survey data
- 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 application of multiple regression analysis to the valuation of rural land
- The application of regression analysis
- The application of the Durbin-Watson test to the dynamic regression model under normal and non-normal errors
- The effect of non-normal disturbances and conditional heteroskedasticity on multiple cointegration tests
- The exact distribution of a least squares regression coefficient estimator after a preliminary t-test
- The exact powers of some autocorrelation tests when the disturbances are heteroscedastic
- The exact risks of some pre-test and stein-type regression estimators under balanced loss
- The limiting power of point optimal autocorrelation tests
- The multiple sets of deletion measures and masking in regression
- The optimal size of a preliminary test of linear restrictions in a mis-specified regression model
- The power of the Goldfeld-Quandt test when the errors are autocorrelated
- The sampling performance of inequality restricted and pre-test estimators in a mis-specified linear model
- The statistical analysis of failure time data
- The statistical analysis of failure time data
- The use of subsample values for estimating a general statistic from integrated time series
- Theory of optimal experiments
- Theory of preliminary test and Stein-type estimation with applications
- Time series analysis : regression techniques
- Time series analysis : regression techniques
- Transformation and weighting in regression
- Understanding regression analysis
- Understanding regression analysis : an introductory guide
- Understanding regression assumptions
- Unit root testing : AR(1) against IMA(1, 1) disturbances in the linear regression model
- Unit root tests and structural breaks
- Updating linear models with dependent errors to include additional data and/or regressors
- Use of regression models
- Using econometrics : a practical guide
- Using model trees for classification
- What is robust regression?
- What is the purpose of ANOVA?
- Why do rates of l-convergence differ? : a meta-regression analysis
- World saving

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