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.
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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.
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.
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