Noncentral chi-squared distribution
Builds on Normal distributionChi-squared distributionIndependence of two random variablesPoisson distribution
Definition
Let be a positive integer and let be real numbers. Let be independent random variables with , the normal distribution with mean and variance . The distribution of depends only on and on . It is the noncentral chi-squared distribution with degrees of freedom and noncentrality parameter , written .
Remarks
For it is the chi-squared distribution with degrees of freedom. Its mean is and its variance is . Its density is a Poisson mixture of central chi-squared densities: where is the chi-squared density with degrees of freedom.
Example: if , then , and agrees with the mean .
Non-example: the variances must be . If , then has mean and variance . A variable with mean has and variance , so has no noncentral chi-squared distribution with one degree of freedom.
Reading path
To understand this page from the ground up, read these 81 pages in order. The foundations come first.
- Construction of the reals from Cauchy sequences concept
- Element definition
- Factorial 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
- Existential quantifier definition
- The rationals form a field statement
- 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
- Indicator function 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
- Dirac measure definition
- Probability distribution definition
- Probability space definition
- Conditional probability definition
- Random variable definition
- Discrete random variable definition
- Cumulative distribution function definition
- Independence of two events definition
- Law of a random variable definition
- Random variable with a density definition
- Probability mass function definition
- Joint probability distribution definition
- Independence of two random variables definition
- Mutual independence of events definition
- Expected value definition
- Probability density function definition
- Identically distributed random variables definition
- Poisson distribution definition
- Marginal distribution definition
- Variance definition
- Independent sigma-algebras definition
- Linearity of expectation statement
- Density of the normal distribution definition
- Exponential distribution definition
- Independence means the joint law is the product of the marginals statement
- Independence of random variables definition
- Covariance definition
- Normal distribution definition
- Gamma distribution definition
- Expectation of a product of independent random variables statement
- Variance of a sum statement
- Independent and identically distributed random variables definition
- Independent random variables are uncorrelated statement
- Statistic definition
- Variance of a sum of independent random variables statement
- Estimator definition
- Sample mean definition
- Bias of an estimator definition
- Sample variance definition
- Chi-squared distribution definition
- Noncentral chi-squared distribution definition
Further reading
About this page
| Tag | E3TEYV0D89 |
|---|---|
| URI | m2://E3TEYV0D89 |
| Kind | definition |
| Writing | W0 stub |
| MSC | 62E15, 60E05 |
| Defines | Noncentral chi-squared distribution |
| Uses | Normal distribution, Chi-squared distribution, Independence of two random variables, Poisson distribution |
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