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Few topics are:
- longitudinal data models
- generalized linear and non-linear mixed models
- marginal versus conditional models
- generalized estimating equations
- likelihood-based inference
- REML, BLUP, and computation of integrals;
- Bayesian inference
- Markov chain Monte Carlo
- covariance models,
- models for split plot designs
- comparison of approaches
- diagnostics
- smoothing and classification
- spline models, kernel methods
- generalized additive models
- averaging of multiple models
- Describes measures of predictive performance
- balancing bias and variance
Topics covered by Regression assignment help :
- Function estimation and data exploration
- regression analysis
- smoothers, semiparametric and nonparametric regression
- supervised machine learning
- simple linear regression
- multiple linear regression
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Regression Online Tutors help with
- least square estimates of parameters
- hypothesis testing and confidence intervals in linear regression
- testing of models
- data analysis and appropriateness of models
- generalized linear models
- design and analysis of single-factor experiments
