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
Concept
Indecomposable distribution
Formal sciences
Statistics
Statistical inference
Mathematical statistics
Graph Chatbot
Related lectures (32)
Login to filter by course
Login to filter by course
Reset
Mathematical Analysis: Factorial Generalization and Absorption
Covers the generalization of factorials, mathematical behavior, and absorption phenomena.
Probability and Statistics
Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.
Describing Data: Statistics and Hypothesis Testing
Covers descriptive statistics, hypothesis testing, and correlation analysis with various probability distributions and robust statistics.
Stochastic Models for Communications
Explores stochastic models for communications, covering mean, variance, characteristic functions, inequalities, various discrete and continuous random variables, and properties of different distributions.
Fundamental Solutions of Laplace Equation
Explores fundamental solutions, Green's formula, distributions, and convergence in Laplace equation.
Stochastic Models for Communications: Continuous-Time Stochastic Processes
Covers examples of continuous-time stochastic processes in communications.
Introduction to Continuous Random Variables: Probability Distributions
Introduces continuous random variables and their probability distributions, emphasizing their applications in statistics and data science.
Elements of Statistics: Probability, Distributions, and Estimation
Covers probability theory, distributions, and estimation in statistics, emphasizing accuracy, precision, and resolution of measurements.
Data Handling: Problems and Distributions
Covers common data problems and important distributions, along with correlation and dependencies analysis.
Bivariate Maxima: Parametric Models and Distributions
Explores bivariate maxima, parametric models, distributions, and dependence functions in statistics.
Signals & Systems I: Distributions and Linear Systems
Covers distributions, linear systems, impulse response, convolution, and examples of linear systems.
Signals & Systems I: Distributions and Linear Systems
Explores distributions, linear systems, impulse response, convolution operators, and causal systems in signals and systems.
Previous
Page 2 of 2
Next