Create a normal distribution object by fitting it to the data. Get pd = fitdist(x,'Normal') pd = NormalDistribution Normal distribution mu = 75.0083 [73.4321, 76.5846] sigma = 8.7202 [7.7391, 9.98843] The intervals next to the parameter estimates are the 95% confidence intervals for the...
This MATLAB function returns the cumulative distribution function (cdf) of the standard lognormal distribution, evaluated at the values in x.
This MATLAB function returns the cumulative distribution function (cdf) of the standard normal distribution, evaluated at the values in x.
To visualize the result, first create a grid of evenly spaced points in two-dimensional space. Get x1 = -3:.2:3; x2 = -3:.2:3; [X1,X2] = meshgrid(x1,x2); X = [X1(:) X2(:)]; Then, evaluate the pdf of the normal distribution at the grid points. Get y = mvnpdf(...
This MATLAB function returns the cumulative distribution function (cdf) of the multivariate normal distribution with zero mean and identity covariance matrix, evaluated at each row of X.
Half-Normal Distribution The half-normal distribution is a special case of the folded normal and truncated normal distributions. Select a Web Site Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select:中...
This MATLAB function returns a numeric matrix X containing a Latin hypercube sample of size n from a multivariate normal distribution with mean vector mu and covariance matrix sigma.
This MATLAB function returns the probability density function (pdf) of the standard lognormal distribution, evaluated at the values in x.
This MATLAB function returns an n-by-1 vector y containing the probability density function (pdf) values for the d-dimensional multivariate normal distribution with zero mean and identity covariance matrix, evaluated at each row of the n-by-d matrix X.
This MATLAB function returns the probability density function (pdf) of the standard normal distribution, evaluated at the values in x.