Independent and identically distributed random variables
In probability theory and statistics, a collection of random variables is independent and identically distributed if each random variable has the same probability distribution as the others and all are mutually independent. This property is usually abbreviated as i.i.d., iid, or IID. IID was first defined in statistics and finds application in different fields such as data mining and signal processing.
- BackgroundColour
- en#F5FFFA
- BorderColour
- en#0073CF
- Cellpadding
- 6
- Comment
- enIn probability theory and statistics, a collection of random variables is independent and identically distributed if each random variable has the same probability distribution as the others and all are mutually independent. This property is usually abbreviated as i.i.d., iid, or IID. IID was first defined in statistics and finds application in different fields such as data mining and signal processing.
- Has abstract
- enIn probability theory and statistics, a collection of random variables is independent and identically distributed if each random variable has the same probability distribution as the others and all are mutually independent. This property is usually abbreviated as i.i.d., iid, or IID. IID was first defined in statistics and finds application in different fields such as data mining and signal processing.
- Is primary topic of
- Independent and identically distributed random variables
- Label
- enIndependent and identically distributed random variables
- Link from a Wikipage to another Wikipage
- Bernoulli process
- Bruno de Finetti
- Category:Independence (probability theory)
- Category:Statistical theory
- Central limit theorem
- Cumulative distribution functions
- Deconvolution
- De Finetti's theorem
- Discrete time
- Exchangeable random variables
- Gambler's fallacy
- If and only if
- Image processing
- Independence (probability theory)
- Joint probability distribution
- Lévy process
- Markov sequence
- Normal distribution
- Pairwise independence
- Permutation
- Probability distribution
- Probability theory
- Random variable
- Roulette
- Sample space
- Sampling without replacement
- Signal processing
- Statistical modeling
- Statistics
- Stochastic calculus
- Symmetric group
- Variance
- White noise
- Wiener process
- SameAs
- 3Vrjr
- Bağımsız ve Özdeş Dağılmış Rastgele Değişken (i.i.d.)
- Független és azonos eloszlású véletlenszerű változók
- Independent identically-distributed random variables
- m.02bbl7
- Nezávislé stejně rozdělené náhodné veličiny
- Oberoende och likafördelade
- Q378542
- Riippumaton ja identtisesti jakautunut
- Uavhengige, identisk fordelte variabler
- Unabhängig und identisch verteilte Zufallsvariablen
- Variabili indipendenti e identicamente distribuite
- Variables aleatorias independientes e idénticamente distribuidas
- Variables indépendantes et identiquement distribuées
- Variáveis aleatórias independentes e identicamente distribuídas
- Независимые одинаково распределённые случайные величины
- Незалежні однаково розподілені випадкові величини
- متغيرات مستقلة ومتشابهة التوزيع
- متغیرهای تصادفی مستقل با توزیع یکسان
- 独立同分布
- 独立同分布
- Subject
- Category:Independence (probability theory)
- Category:Statistical theory
- WasDerivedFrom
- Independent and identically distributed random variables?oldid=1124281785&ns=0
- WikiPageLength
- 15076
- Wikipage page ID
- 30876902
- Wikipage revision ID
- 1124281785
- WikiPageUsesTemplate
- Template:Citation
- Template:Equation box 1
- Template:EquationRef
- Template:Fact
- Template:Main
- Template:NumBlk
- Template:Redirect2
- Template:Refbegin
- Template:Refend
- Template:Reflist
- Template:Short description
- Template:Slink
- Template:Stochastic processes