Home » Course Layouts » Free Course Layout Udemy
This course offers a broad treatment of statistics, concentrating on specific statistical techniques used in science and industry.
0
1
English
English [CC]
FREE
- Learn basic syntax that can apply to any language.
- Learn what is a programming language and the basic concepts for beginners.
- Understand what is Javascript in it's truest form.
- Know the basic syntax of Javascript.
- Know some hidden quirks in Javascript.
Description
Topics include: hypothesis testing and estimation, confidence intervals, chi-square tests, nonparametric statistics, analysis of variance, regression, and correlation.
OCW offers an earlier version of this course, from Fall 2003. This newer version focuses less on estimation theory and more on multiple linear regression models. In addition, a number of Matlab examples are included here.
Course content
- Overview of some Probability Distributions Unlimited
- Maximum Likelihood Estimators Unlimited
- Properties of Maximum Likelihood Estimators Unlimited
- Multivariate Normal Distribution and CLT Unlimited
- Confidence Intervals for Parameters of Normal Distribution Unlimited
- Gamma, Chi-squared, Student T and Fisher F Distributions Unlimited
- Testing Hypotheses about Parameters of Normal Distribution, t-Tests and F-Tests Unlimited
- Testing Simple Hypotheses and Bayes Decision Rules Unlimited
- Most Powerful Test for Two Simple Hypotheses Unlimited
- Chi-squared Goodness-of-fit Test Unlimited
- Chi-squared Goodness-of-fit Test for Composite Hypotheses Unlimited
- Tests of Independence and Homogeneity Unlimited
- Kolmogorov-Smirnov Test Unlimited
- Simple Linear Regression Unlimited
- Multiple Linear Regression Unlimited
- General Linear Constraints in Multiple Linear Regression and Analysis of Variance and Covariance Unlimited
- Classification Problem, AdaBoost Algorithm Unlimited
Instructor
Massachusetts Institute of Technology
5
5
1
1916
1520
