Compute Lambda and Nu Hat for a given data set
Description Usage Arguments Details Value Author(s) References
View source: R/computez.lambdaest.R
Computes the normalizing constant Z in the COM-Poisson model for the given parameters of lambda and nu.
1 | computez.lambdaest(lambda, nu, max)
|
lambda |
Lambda value in the COM-Poisson distribution |
nu |
Nu value in the COM-Poisson distribution |
max |
Maximum number of iterations to run for truncating infinite sums |
Computez.lambdaest estimates the COM-Poisson normalizing constant.
After the specified number of iterations, the function returns the normalizing constant Z as a real number.
Kimberly Sellers
Sellers, Kimberly F. "A Generalized Statistical Control Chart for Over- or Under-Dispersed Data." Quality and Reliability Engineering International 2012. ; 28:59-65.
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