Fitting the Additive Binomial Distribution when binomial random variable, frequency, probability of success and alpha are given
Fitting the Additive Binomial Distribution when binomial random variable, frequency, probability of success and alpha are given
The function will fit the Additive Binomial distribution when random variables, corresponding frequencies, probability of success and alpha are given. It will provide the expected frequencies, chi-squared test statistics value, p value, and degree of freedom value so that it can be seen if this distribution fits the data.
fitAddBin(x,obs.freq,p,alpha)
Arguments
x: vector of binomial random variables.
obs.freq: vector of frequencies.
p: single value for probability of success.
alpha: single value for alpha.
Returns
The output of fitAddBin gives the class format fitAB and fit consisting a list
bin.ran.var binomial random variables.
obs.freq corresponding observed frequencies.
exp.freq corresponding expected frequencies.
statistic chi-squared test statistics.
df degree of freedom.
p.value probability value by chi-squared test statistic.
fitAB fitted probability values of dAddBin.
NegLL Negative Log Likelihood value.
p estimated probability value.
alpha estimated alpha parameter value.
AIC AIC value.
call the inputs of the function.
Methods summary, print, AIC, residuals and fitted
can be used to extract specific outputs.
Details
obs.freq≥0x=0,1,2,..0<p<1−1<alpha<1
Examples
No.D.D <-0:7#assigning the random variablesObs.fre.1<- c(47,54,43,40,40,41,39,95)#assigning the corresponding the frequencies## Not run:#assigning the estimated probability valuepaddbin <- EstMLEAddBin(No.D.D,Obs.fre.1)$p
#assigning the estimated alpha valuealphaaddbin <- EstMLEAddBin(No.D.D,Obs.fre.1)$alpha
#fitting when the random variable,frequencies,probability and alpha are givenresults <- fitAddBin(No.D.D,Obs.fre.1,paddbin,alphaaddbin)results
#extracting the AIC valueAIC(results)#extract fitted valuesfitted(results)## End(Not run)