I have an observation data set (of 300 observations). I fitted 5 different distribution on this data. I wish to check which distribution fits best to this observation. apart from using some goodness of fit measures (such as Root mean square or kolmograv-smirnov), i got to report the p value of my fitted distributions as well.
I dont understand this quite well. what does it mean to report a P value here? should i have different P value s for different goodness of fit measures, or should I have it between observation and distribution-based values? how should I calculate this mathematically?
I dont want a built in code in matlab, I want to know how it is done mathematically? should I sample from the data?
how big must the sample be? or is there any other procedure ? stat