Random variable/Related Articles
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- Almost sure convergence : The probability that the given sequence of random variables converges is 1.
- Applied statistics : the practice of collecting and interpreting numerical observations for the purpose of generating information.
- Characteristic function : A function on a set which takes the value 1 on a given subset and 0 on its complement.
- Conditioning (probability) : Conditional probabilities, conditional expectations and conditional distributions are treated on three levels.
- Confidence interval : the range of a random variable, such as the mean of a sample, that — with a specified probability — contains the true value for the population.
- Errors and residuals in statistics : Comparison of two related notions of mathematical statistics.
- Factor analysis : Statistical technique used to explain variability among observed random variables in terms of fewer unobserved random variables called factors.
- Measurable function : Function on a measurable space to a measurable space such that the inverse image of a measurable set is a measurable set.
- Measurable space : Set together with a sigma-algebra of subsets of this set.
- Measure space : Set together with a sigma-algebra of subsets of the set and a measure defined on this sigma-algebra.
- Normal distribution : a symmetrical bell-shaped probability distribution representing the frequency of random variations of a quantity from its mean.
- Sigma algebra : A formal mathematical structure intended among other things to provide a rigid basis for measure theory and axiomatic probability theory.
- Statistics theory : A branch of mathematics that specializes in enumeration, or counted, data and their relation to measured data.
- Stochastic convergence : A mathematical concept intended to formalize the idea that a sequence of essentially random or unpredictable events sometimes is expected to settle into a pattern.
- Stochastic process : Family of random variables, dependent upon a parameter which usually denotes time.