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Independent and Identically Distributed Random Variable

Independent and Identically Distributed Random Variable

Dec 10, 20251 min read

  • math/probability

Definition

A Random Vector is independent and identically distributed if each Random Variable has the same Distribution and are mutually independent.

Facts

If X is i.i.d. Random Vector, then E(X)=(E(X1​),…,E(Xn​))⊺


Graph View

  • Definition
  • Facts

Backlinks

  • Asymptotics for Multivariate Distributions
  • Bernoulli Distribution
  • Box-Muller Transformation
  • Buckley-James Estimator
  • Central Limit Theorem
  • Copula Model
  • Cox Proportional Hazards Model
  • Cramer-von Mises Test
  • Deep Q-Network
  • Efficiency
  • Empirical Distribution Function
  • Empirical Survival Function
  • Factor Analysis
  • Gehan Test
  • Generalized Gehan Test
  • Generalized Linear Model
  • Generalized Mantel-Haenszel Test
  • Goodness-of-Fit Tests for Survival Model
  • Interval-Censored Data
  • Kernel Estimation for Survival Analysis
  • Kolmogorov–Smirnov Test
  • Koul-Susarla-Van Ryzin Estimator
  • Law of Large Numbers
  • Left Censoring
  • Location Model
  • Mathematical Statistics Note
  • Miller Estimator
  • Multiple Linear Regression
  • Nelson-Aalen Estimator
  • Overdispersion
  • Peterson Estimator
  • Probabilistic PCA
  • Random Censoring
  • Random Sample
  • Sign Test
  • Signed-Rank Wilcoxon Test
  • Simple Linear Regression
  • Student's Theorem
  • Type 1 Censoring
  • Type 2 Censoring
  • Weighted Least Squares

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