Fitting the Triangular Binomial Distribution when binomial random variable, frequency and mode value are given
Fitting the Triangular Binomial Distribution when binomial random variable, frequency and mode value are given
The function will fit the Triangular Binomial distribution when random variables, corresponding frequencies and mode parameter are given. It will provide the expected frequencies, chi-squared test statistics value, p value, degree of freedom and over dispersion value so that it can be seen if this distribution fits the data.
fitTriBin(x,obs.freq,mode)
Arguments
x: vector of binomial random variables.
obs.freq: vector of frequencies.
mode: single value for mode.
Returns
The output of fitTriBin gives the class format fitTB 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 value.
df degree of freedom.
p.value probability value by chi-squared test statistic.
fitTB fitted probability values of dTriBin.
NegLL Negative Log Likelihood value.
mode estimated mode value.
AIC AIC value.
over.dis.para over dispersion value.
call the inputs of the function.
Methods summary, print, AIC, residuals and fitted
can be used to extract specific outputs.
Details
0<mode=c<1x=0,1,2,...0<mode<1obs.freq≥0
NOTE : If input parameters are not in given domain conditions necessary error messages will be provided to go further.
Examples
No.D.D <-0:7#assigning the random variablesObs.fre.1<- c(47,54,43,40,40,41,39,95)#assigning the corresponding frequenciesmodeTriBin <- EstMLETriBin(No.D.D,Obs.fre.1)$mode #assigning the extracted the mode value#fitting when the random variable,frequencies,mode value are given.results <- fitTriBin(No.D.D,Obs.fre.1,modeTriBin)results
#extract AIC valueAIC(results)#extract fitted valuesfitted(results)