ABSTRACT

Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, Understanding Advanced Statistical Methods helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum likelihood, bootstrapping, nonparametrics, and Bayesian me

chapter 3|12 pages

Probability Calculation and Simulation

chapter 4|22 pages

Identifying Distributions

chapter 5|20 pages

Conditional Distributions and Independence

chapter 7|36 pages

Sampling from Populations and Processes

chapter 10|22 pages

Distributions of Totals

chapter 13|30 pages

Bayesian Statistics

chapter 14|16 pages

Frequentist Statistical Methods

chapter 17|40 pages

Likelihood Ratio Tests

chapter 18|24 pages

Sample Size and Power

chapter 19|18 pages

Robustness and Nonparametric Methods

chapter 20|2 pages

Final Words