Lecture
Estimating Random Variables
Related lectures (35)
Probability Distributions: Independence and Linear Combinations
Explores independence, linear combinations of variables, and probability laws.
Constructing Real Numbers: Decimal Expansion
Covers constructing real numbers through decimal expansion and the concept of discrete and continuous random variables.
Continuous Random Variables: Distributions and Expectation
Explores various continuous probability distributions and expectation of random variables.
Dependence and Correlation
Explores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.
Probability and Statistics
Covers probability distributions, moments, and continuous random variables.
Elements of Statistics: Probability and Random Variables
Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.
Probability and Statistics
Explores joint random variables, conditional density, and independence in probability and statistics.
Probability Distributions: Discrete Random Variables
Discusses properties and functions of discrete random variables, including binomial and negative binomial distributions.
Expectation Values: Understanding Probability Distribution Functions
Explains how to calculate expectation values for random variables using examples like a dice game.
Probability Distributions: Basics and Properties
Covers the basics of probability distributions, including mean, variance, and properties of random variables.