Categorical Data Analysis: Methods and Examples

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Page 2 of 4

Covers the estimation of theoretical frequencies and independence testing between two characteristics, with examples for practical application.

Hypothesis Testing: Q-Q Plots and Non-Parametric Tests

Covers hypothesis testing, Q-Q plots, and non-parametric tests in statistics.

Statistical Tests: Independence and Homogeneity

Explores statistical tests for independence and homogeneity, including chi-square tests and Fisher's exact test, with practical examples and applications.

Random Number Generators: Properties and Examples

Covers uniform and pseudo-random number generators, properties, examples, and quality assessment through empirical tests.

Binary Covariate Impact: 2x2 Contingency Tables

Explores the impact of a binary covariate on binary responses using 2x2 tables.

Hypothesis Testing: T-Test and Chi-Square Test

Explains hypothesis testing using T-test and Chi-square test to compare means and assess independence of variables.

Stochastic Simulation: Random Number Generators

Explores random number generators, including Pseudo-RNG algorithms, properties, assessment methods, and independence testing.

Data Visualization: Techniques, Tools & Concepts

Covers data visualization techniques, tools, and concepts for effective data representation.

Categorical Data Analysis: Poisson GLM

Explores Poisson GLM for analyzing count data in categorical analysis, focusing on contingency tables and Bayesian inference.

Neural Networks: Training and Activation

Explores neural networks, activation functions, backpropagation, and PyTorch implementation.