Probability distribution fitting

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Probability distribution fitting or simply distribution fitting is the fitting of a <a href="/facts/Probability_distribution/EpsKKVRu">probability distribution</a> to a series of data concerning the repeated measurement of a variable phenomenon.
The aim of distribution fitting is to <a href="/facts/Prediction/0w4XXB33">predict</a> the <a href="/facts/Probability/fgYvMhwb">probability</a> or to <a href="/facts/Forecasting/pwFtGyzM">forecast</a> the <a href="/facts/Frequency_(statistics)/FtFNmhDS">frequency</a> of occurrence of the magnitude of the phenomenon in a certain interval.
</p><p>There are many probability distributions (see <a href="/facts/List_of_probability_distributions/qrDTbPkd">list of probability distributions</a>) of which some can be fitted more closely to the observed frequency of the data than others, depending on the characteristics of the phenomenon and of the distribution. The distribution giving a close fit is supposed to lead to good predictions.
In distribution fitting, therefore, one needs to select a distribution that suits the data well.
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Probability distribution fitting open-in-new

Probability distribution fitting