nlogL = poisslike (lambda, x) returns the negative log likelihood of the data in x corresponding to the Poisson distribution with rate parameter lambda. x must be a vector of non-negative values.

[nlogL, avar] = poisslike (lambda, x) also returns the inverse of Fisher’s information matrix, avar. If the input rate parameter, lambda, is the maximum likelihood estimate, avar is its asymptotic variance.

[…] = poisslike (lambda, 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 Poisson distribution can be found at https://en.wikipedia.org/wiki/Poisson_distribution

See also: poisscdf, poissinv, poisspdf, poissrnd, poissfit, poisstat

Source Code: poisslike