Introduction to Geo422 Lecture 01
Let's dive into the details surrounding Geo422 Lecture 01. Introduction to the course.
Geo422 Lecture 01 Comprehensive Overview
Descriptive statistics. What I've tried to do with this welcome to chapter
Convolution versus multiplication in the space/time and frequency domains. The Discrete-Time-Discrete-Frequency (DTDF) ...
Summary & Highlights for Geo422 Lecture 01
- Linear combinations of random variables.
- Independence, moments, Bayes' theorem, correlation.
- Philosophical considerations. Measures of distance.
- Bias, variance, mean-squared error, accuracy and precision.
- A practical example of data collection and inversion. The multivariate Gaussian distribution.
That wraps up our extensive overview of Geo422 Lecture 01.
