Probability distribution name, specified as one of the probability distribution names in this table. Values at which to evaluate the pdf, specified as a scalar value or an array of scalar values.
If one or more of the input arguments x , A , B , C , and D are arrays, then the array sizes must be the same. In this case, pdf expands each scalar input into a constant array of the same size as the array inputs.
See name for the definitions of A , B , C , and D for each distribution. Example: [-1,0,3,4]. Data Types: single double. First probability distribution parameter, specified as a scalar value or an array of scalar values. Second probability distribution parameter, specified as a scalar value or an array of scalar values. Third probability distribution parameter, specified as a scalar value or an array of scalar values. Fourth probability distribution parameter, specified as a scalar value or an array of scalar values.
Probability distribution, specified as one of the probability distribution objects in this table. Each element in y is the pdf value of the distribution, specified by the corresponding elements in the distribution parameters A , B , C , and D or specified by the probability distribution object pd , evaluated at the corresponding element in x.
It is faster to use a distribution-specific function, such as normpdf for the normal distribution and binopdf for the binomial distribution. For a list of distribution-specific functions, see Supported Distributions. Use the Probability Distribution Function app to create an interactive plot of the cumulative distribution function cdf or probability density function pdf for a probability distribution.
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