Probability theory and stochastic processes Definition
Variance
Builds on Expected valueRandom variable
Definition
Let be an integrable real random variable with mean . The variance of is
Remarks
Other notations are , and . The variance is finite if and only if . For a discrete with values , . For with density , . if and only if almost surely. For a fair die, and .
Reading path
To understand this page from the ground up, read these 44 pages in order. The foundations come first.
- Construction of the reals from Cauchy sequences concept
- Element definition
- Integers object
- Ordered field definition
- Proposition concept
- Random experiment concept
- Rational numbers object
- Real numbers object
- Set definition
- Ring of integers statement
- Disjunction definition
- Implication definition
- Predicate definition
- Ordered pair definition
- Union definition
- Sample space definition
- The rationals form a field statement
- Existential quantifier definition
- Universal quantifier definition
- Cartesian product definition
- Subset definition
- The rationals form an ordered field statement
- Uniqueness quantifier definition
- Binary relation definition
- Universal set definition
- Order on the reals definition
- Power set definition
- Complement definition
- Function definition
- Interval definition
- Injective function definition
- Preimage of a set definition
- Sigma-algebra definition
- Countable set definition
- Event definition
- Borel sigma-algebra definition
- Probability axioms concept
- Probability measure definition
- Probability space definition
- Random variable definition
- Discrete random variable definition
- Random variable with a density definition
- Expected value definition
- Variance definition
Where this leads
83 pages build on this one.
- Covariance matrix
- Chebyshev's inequality
- Law of total variance
- Variance of the normal distribution
- Cauchy–Schwarz inequality for expectations
- Correlation coefficient
- Variance under translation
- Independent random variables are uncorrelated
- Method of moments
- Weak law of large numbers
- Uncorrelated random variables that are not independent
- Kurtosis
- Variance of a sum
- Strong law of large numbers
- Covariance
- Chi-squared test
- 68–95–99.7 rule
- Conditional variance
- Maximum likelihood estimation
- Skewness
- Student's t-test
- Sample variance
- Confidence interval
- Variance under scaling
- Coupon collector's problem
- Variance as the mean of the square minus the square of the mean
- Student's t-distribution
- Sample mean
- Chi-squared distribution
- Variance of a sum of independent random variables
- Mean squared error
- Standard deviation
- Central moment
- Cramér–Rao bound
- Efficiency of an estimator
- Poisson regression
- Ergodic decomposition
- Koksma–Hlawka inequality
- Hodges' superefficient estimator
- Consistency of the maximum likelihood estimator
- M-estimator
- Score test
- Kingman's subadditive ergodic theorem
- Asymptotic normality of the maximum likelihood estimator
- F-distribution
- Edgeworth expansion
- Sample mean and sample covariance
- Whittle likelihood
- Logistic regression
- Gaussian free field
- Bias–variance decomposition
- Monte Carlo integration
- Breakdown point
- Noncentral chi-squared distribution
- Behrens–Fisher problem
- Kruskal–Wallis test
- Wishart distribution
- Minimum-variance unbiased estimator
- Empirical likelihood
- Bayesian information criterion
- Cochran's theorem
- Jackknife
- Birkhoff's ergodic theorem
- Akaike information criterion
- Independence of sample mean and sample variance for normal samples
- Estimating equations
- Spearman's rank correlation coefficient
- Generalized method of moments
- Bootstrap
- Oseledets theorem
- Likelihood-ratio test
- Expectation–maximization algorithm
- Hotelling's T-squared distribution
- Wald test
- Generalized linear model
- Box–Jenkins method
- Pesin theory
- Binomial proportion confidence interval
- Neyman construction
- Wilks' theorem
- Frequentist inference
- Observed information
- Point estimation
Further reading
- Web https://en.wikipedia.org/wiki/Variance, Definition
About this page
| Tag | 007QED3E0Y |
|---|---|
| URI | m2://007QED3E0Y |
| Kind | definition |
| Writing | W1 stated |
| MSC | 60A05 |
| Defines | Variance |
| Uses | Expected value, Random variable |
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What links here
Used by
- Covariance matrix
- Chebyshev's inequality
- Variance of the normal distribution
- Variance under translation
- Variance of a sum
- Covariance
- Conditional variance
- Sample variance
- Variance under scaling
- Variance as the mean of the square minus the square of the mean
- Mean squared error
- Standard deviation
- Central moment
- Efficiency of an estimator
- Bias–variance decomposition
- Minimum-variance unbiased estimator
- Jackknife