Proba-statistique pdf

R code ppsbm-files. Caron and E. With Ismael Castillo. With Fabienne Comte. Journal of Statistical Planning and Inference, , Mathematical Methods of Statistics, Vol. Technical report Electronic Journal of Statistics, 6, The International Journal of Biostatistics, Vol. Patent Number 09 , February Proceedings and Conferences Stochastic block model for multiple networks.

Stochastic block model for multiple networks. With Fanny Villers and Etienne Roquain. With Malika Kharouf and Nataliya Sokolovska. Compute the pdf values evaluated at the values in x for the normal distribution with mean mu and standard deviation sigma.

Compute the pdf values evaluated at zero for various normal distributions with different mean parameters. Values at which to evaluate the pdf, specified as a scalar value or an array of scalar values.

To evaluate the pdf at multiple values, specify x using an array. To evaluate the pdfs of multiple distributions, specify mu and sigma using arrays.

If one or more of the input arguments x , mu , and sigma are arrays, then the array sizes must be the same. In this case, normpdf expands each scalar input into a constant array of the same size as the array inputs. Each element in y is the pdf value of the distribution specified by the corresponding elements in mu and sigma , evaluated at the corresponding element in x.

Example: [-1,0,3,4]. Data Types: single double. Mean of the normal distribution, specified as a scalar value or an array of scalar values. Example: [0 1 2; 0 1 2]. Standard deviation of the normal distribution, specified as a positive scalar value or an array of positive scalar values. Example: [1 1 1; 2 2 2]. The normal distribution is a two-parameter family of curves. The likelihood function is the pdf viewed as a function of the parameters. The maximum likelihood estimates MLEs are the parameter estimates that maximize the likelihood function for fixed values of x.

To use pdf , create a NormalDistribution probability distribution object and pass the object as an input argument or specify the probability distribution name and its parameters. Note that the distribution-specific function normpdf is faster than the generic function pdf. 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.

Hastings, and B. Statistical Distributions. This function fully supports GPU arrays. Souhaitez-vous ouvrir cet exemple avec vos modifications?