computez.lambdaest: Compute the normalizing constant Z
In CMPControl: Control Charts for Conway-Maxwell-Poisson Distribution
Description
Usage
Arguments
Details
Value
Author(s)
References
View source: R/computez.lambdaest.R
Description
Computes the normalizing constant Z in the COM-Poisson model for the given parameters of lambda and nu.
Usage
1
computez.lambdaest(lambda, nu, max)
Arguments
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
Details
Computez.lambdaest estimates the COM-Poisson normalizing constant.
Value
After the specified number of iterations, the function returns the normalizing constant Z as a real number.
Author(s)
Kimberly Sellers
References
Sellers, Kimberly F. "A Generalized Statistical Control Chart for Over- or Under-Dispersed Data." Quality and Reliability Engineering International 2012. ; 28:59-65.
CMPControl documentation built on May 29, 2017, 3:37 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Details Value Author(s) References
View source: R/computez.lambdaest.R
Description
Computes the normalizing constant Z in the COM-Poisson model for the given parameters of lambda and nu.
Usage
1 | computez.lambdaest(lambda, nu, max)
|
Arguments
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 |
Details
Computez.lambdaest estimates the COM-Poisson normalizing constant.
Value
After the specified number of iterations, the function returns the normalizing constant Z as a real number.
Author(s)
Kimberly Sellers
References
Sellers, Kimberly F. "A Generalized Statistical Control Chart for Over- or Under-Dispersed Data." Quality and Reliability Engineering International 2012. ; 28:59-65.
CMPControl documentation built on May 29, 2017, 3:37 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.