Computes a confidence interval for parameter estimates of the COM-Poisson Distribution

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Description

Computes a pivotal bootstrap confidence interval for maximum likelihood parameter estimates.

Usage

1
	com.confint(data, level=0.95, B=1000, n=1000)

Arguments

data

the matrix of data to fit

level

the level of the confidence interval

B

number of repetitions of the bootstrap

n

number of data points in each bootstrap sample

Details

Uses a standard pivotal confidence interval from a bootstrap sample.

Value

A matrix containing the confidence intervals for each parameter

Author(s)

Akshaya Jha, Jeffrey Dunn

References

Wasserman, L. (2005). "All of Statistics: A Concise Course in Statistical Inference," Springer Texts in Statistics.

See Also

com.fit