Probability mass function
In probability and statistics, a probability mass function is a function that gives the probability that a discrete random variable is exactly equal to some value. Sometimes it is also known as the discrete density function. The probability mass function is often the primary means of defining a discrete probability distribution, and such functions exist for either scalar or multivariate random variables whose domain is discrete. The value of the random variable having the largest probability mass is called the mode.
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- enIn probability and statistics, a probability mass function is a function that gives the probability that a discrete random variable is exactly equal to some value. Sometimes it is also known as the discrete density function. The probability mass function is often the primary means of defining a discrete probability distribution, and such functions exist for either scalar or multivariate random variables whose domain is discrete. The value of the random variable having the largest probability mass is called the mode.
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- enIn probability and statistics, a probability mass function is a function that gives the probability that a discrete random variable is exactly equal to some value. Sometimes it is also known as the discrete density function. The probability mass function is often the primary means of defining a discrete probability distribution, and such functions exist for either scalar or multivariate random variables whose domain is discrete. A probability mass function differs from a probability density function (PDF) in that the latter is associated with continuous rather than discrete random variables. A PDF must be integrated over an interval to yield a probability. The value of the random variable having the largest probability mass is called the mode.
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- Probability mass function
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- enProbability mass function
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- Bernoulli distribution
- Binomial distribution
- Categorical distribution
- Category:Types of probability distributions
- Continuous random variable
- Countable
- Counting measure
- Cumulative distribution function
- Discrete probability distribution
- Discrete random variable
- Discretization of continuous features
- Domain of a function
- File:Discrete probability distrib.svg
- File:Fair dice probability distribution.svg
- Geometric distribution
- Image (mathematics)
- Integration (mathematics)
- Joint probability distribution
- Measure space
- Mode (statistics)
- Multinomial distribution
- Multivariate random variable
- Probability density function
- Probability distribution
- Probability measure
- Probability space
- Probability theory
- Pushforward measure
- Radon–Nikodym derivative
- Real number
- Scalar variable
- Sigma algebra
- Statistics
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- 4514608-1
- 52B33
- Fonction de masse (probabilités)
- Função massa de probabilidade
- Funció de probabilitat
- Función de probabilidad
- Funkcija verjetnosti
- Funkcja masy prawdopodobieństwa
- Funzione di probabilità
- Hàm khối xác suất
- Kansfunctie
- m.0147hy
- Olasılık kütle fonksiyonu
- Pistetodennäköisyysfunktio
- Pravděpodobnostní funkce
- Probabilitate-funtzio
- Probability mass function
- Probabla masa funkcio
- Q869887
- Sannolikhetsfunktion
- Valószínűségi tömegfüggvény
- Wahrscheinlichkeitsfunktion
- Функция вероятности
- Функція ймовірностей
- פונקציית הסתברות
- تابع جرم احتمال
- 概率质量函数
- 確率質量関数
- 확률 질량 함수
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- Category:Types of probability distributions
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