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Statistics
Probability Theory and Distributions
1. Foundational Concepts of Probability
2. Conditional Probability and Independence
3. Random Variables and Their Properties
4. Expectation and Moments
5. Common Discrete Distributions
6. Common Continuous Distributions
7. Joint Distributions and Dependence
8. Transformations and Functions of Random Variables
9. Limit Theorems and Convergence
Transformations and Functions of Random Variables
Single Variable Transformations
Discrete Variable Transformations
One-to-One Transformations
Many-to-One Transformations
PMF Transformation Rules
Continuous Variable Transformations
Monotonic Transformations
Inverse Function Method
Jacobian Calculation
Non-monotonic Transformations
Multiple Inverse Method
Probability Density Transformation
Common Transformations
Linear Transformations
Quadratic Transformations
Logarithmic Transformations
Exponential Transformations
Multiple Variable Transformations
Bivariate Transformations
Jacobian Matrix Method
Change of Variables Formula
Examples and Applications
Multivariate Transformations
General Jacobian Method
Coordinate Transformations
Polar Coordinates
Spherical Coordinates
Order Statistics
Definition and Motivation
Distribution of Order Statistics
Single Order Statistic
Joint Distribution of Order Statistics
Extreme Value Distributions
Minimum and Maximum
Range Distribution
Applications
Reliability Analysis
Quality Control
Risk Assessment
Sums of Random Variables
Sums of Independent Discrete Variables
Convolution Formula
Probability Generating Functions
Sums of Independent Continuous Variables
Convolution Integral
Moment Generating Function Method
Special Cases
Sums of Normal Variables
Sums of Poisson Variables
Sums of Gamma Variables
Central Limit Theorem Applications
Approximate Distributions
Normal Approximations
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7. Joint Distributions and Dependence
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9. Limit Theorems and Convergence