Skip to main content
Graph
Search
fr
|
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Chaos Engineering: Advanced Principles
Graph Chatbot
Related lectures (31)
Previous
Page 2 of 4
Next
Property Estimation and Exponential Family
Covers test statistics, threshold values, and lower bounds for estimating properties.
Confidence Intervals and Hypothesis Testing
Explores confidence intervals, hypothesis testing, and decision-making using test statistics and p-values.
Statistical Hypothesis Testing
Covers statistical hypothesis testing, confidence intervals, p-values, and significance levels in hypothesis testing.
Testing Strategies: Code Coverage and Quality
Covers testing strategies, emphasizing code coverage and quality in software development through various testing methodologies and practical examples.
Statistics & Experimental Design
Explores conditional probability, Framingham studies, effect size, t-test, and sampling error in statistics.
Describing Data: Statistics & Uncertainty
Introduces descriptive statistics, uncertainty quantification, and variable relationships, emphasizing the importance of statistical interpretation and critical analysis.
Software Testing: Avoiding and Fixing Bugs
Emphasizes the critical role of software testing in preventing and resolving bugs during development.
Describing Data: Statistics and Hypothesis Testing
Covers descriptive statistics, hypothesis testing, and correlation analysis with various probability distributions and robust statistics.
Detection & Estimation
Covers the fundamentals of detection and estimation theory, focusing on mean-squared error and hypothesis testing.
Hypothesis Testing: Neyman-Pearson Framework
Covers hypothesis testing, types of errors, Neyman-Pearson framework, and one-sided Gaussian tests.