Live
|
| This course is not currently scheduled. |
Outline
- Descriptive Statistics
Descriptive statistics and visualization of univariate and multivariate data, working with continuous and categorical data, and clustering and smoothing of data
- Statistical Distributions
Working with theoretical and empirical statistical distributions, descriptive statistics and functions of random variables, visualizations of distributions, random number generation, transformations, and empirical distributions and bootstrapping
- Hypothesis Testing
Common parametric tests such as t and Chi2 tests, nonparametric tests of location and scale, distributional goodness of fit tests, and confidence intervals and power curves
- Model Fitting
Linear, nonlinear, and generalized linear model fitting; logistic models with nominal predictors; Poisson count models; and ANOVA models
- Model Refinements and Diagnostics
Obtaining and visualizing diagnostics for models, comparing models, model transformations, and weighted regression
- Special Topics
Maximum likelihood estimation, implicitly defined models, robust regression using iterative re-weighting, and alternate metrics or merit functions for fitting data to curves
 |
Mathematica Free Trial
Download a free 30-day trial and see all the new features.
|
| | | |
|
