nlogL = binolike (params, x) returns the negative log likelihood of the binomial distribution with (1) parameter n and (2) parameter ps, given in the two-element vector params, where n is the number of trials and ps is the probability of success, given the number of successes in x. Unlike binofit, which handles each element in x independently, binolike returns the negative log likelihood of the entire vector x.

[nlogL, acov] = binolike (params, x) also returns the inverse of Fisher’s information matrix, acov. If the input parameter values in params are the maximum likelihood estimates, the diagonal elements of params are their asymptotic variances.

[…] = binolike (params, x, freq) accepts a frequency vector, freq, of the same size as x. freq typically contains integer frequencies for the corresponding elements in x, but it can contain any non-integer non-negative values. By default, or if left empty, freq = ones (size (x)).

Further information about the binomial distribution can be found at https://en.wikipedia.org/wiki/Binomial_distribution

See also: binocdf, binoinv, binopdf, binornd, binofit, binostat

Source Code: binolike