DnE (version 1.01)

is.nbinom: is.nbinom

Description

judge if the data obey negative binomial distribution

Usage

is.nbinom(x, m, a, p0 = NULL, r0 = NULL)

Arguments

x

data

m

the numbers of intervals of data you wanna devide

a

confidence level

p0

the pobability that result is success in each experiment

r0

the number of successful events you want to wait for

Value

• if data obey the distribution, return a value represent the likelihood, the larger the better; else return -1.

Details

Given a set of observations from a certain distribution, this function is used to test whether the observations are from a distribution of Two negative binomial distribution distribution or not. The function will work better if the number you choose to devide the interval is between 10 and 20. This number cannot excess the number of given oberservation.

References

ROBERT V. HOGG/ALLEN T. CRAIG (Fifth Edition) Introduction Mathematical Statistics.

See Also

is.dt , DnE-package

Examples

require(stats)
examplecheck<-rnbinom(100,10,0.1)
is.nbinom(examplecheck,10,0.05)
#examplecheck is a dataset with a defined distribution you want to check. Suppose you want to devide the interval into 10 parts and want the confidence level to be 0.05#
##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.