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| probability vector ： ウィキペディア英語版 |
:''Stochastic vector redirects here. For the concept of a random vector, see Multivariate random variable.''In mathematics and statistics, a probability vector or stochastic vector is a vector with non-negative entries that add up to one.The positions (indices) of a probability vector represent the possible outcomes of a discrete random variable, and the vector gives us the probability mass function of that random variable, which is the standard way of characterizing a discrete probability distribution..==Examples==Here are some examples of probability vectors. The vectors can be either columns or rows.x_0=\begin0.5 \\ 0.25 \\ 0.25 \end,\;x_1=\begin 0 \\ 1 \\ 0 \end,\;x_2=\begin 0.65 & 0.35 \end,\;x_3=\begin0.3 & 0.5 & 0.07 & 0.1 & 0.03 \end.
:''Stochastic vector redirects here. For the concept of a random vector, see Multivariate random variable.''
In mathematics and statistics, a probability vector or stochastic vector is a vector with non-negative entries that add up to one.
The positions (indices) of a probability vector represent the possible outcomes of a discrete random variable, and the vector gives us the probability mass function of that random variable, which is the standard way of characterizing a discrete probability distribution.〔.〕
==Examples==
Here are some examples of probability vectors. The vectors can be either columns or rows.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
■ウィキペディアで「:''Stochastic vector redirects here. For the concept of a random vector, see Multivariate random variable.''In mathematics and statistics, a probability vector or stochastic vector is a vector with non-negative entries that add up to one.The positions (indices) of a probability vector represent the possible outcomes of a discrete random variable, and the vector gives us the probability mass function of that random variable, which is the standard way of characterizing a discrete probability distribution..==Examples==Here are some examples of probability vectors. The vectors can be either columns or rows.x_0=\begin0.5 \\ 0.25 \\ 0.25 \end,\;x_1=\begin 0 \\ 1 \\ 0 \end,\;x_2=\begin 0.65 & 0.35 \end,\;x_3=\begin0.3 & 0.5 & 0.07 & 0.1 & 0.03 \end.」の詳細全文を読む
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