Hi,
How can we fit any random sets of data to any distribution? And what does it mean with fitting a data set.?
Thanks,
Pallavi
I suggest to you to explain your problem.i.e what data do you have, Wish you luck.
You choose a distribution that you like, say Gamma, and then enter the data into your appropriate software and apply a program that compares the data with your chosen distribution. You then obtain an AIC value that you can compare with other AIC values using other distributions. The lowest AIC means the closest fit :)
We assume that the behavior or the generating process of data is random and is based on a probability law. As mentioned here,
https://en.wikipedia.org/wiki/Probability_distribution_fitting
The aim of distribution fitting is to predict the probability or to forecast the frequency of occurrence of the magnitude of the phenomenon in a certain interval. Always we have several candidate distributions, which should be examined to select the one which would be fitted more closely to the observed frequency of the data than the others.
You may find several R packages for fitting distributions to data.
The following resources are useful
1)
https://cran.r-project.org/doc/contrib/Ricci-distributions-en.pdf
2) or you may read here as well
https://stats.stackexchange.com/questions/132652/how-to-determine-which-distribution-fits-my-data-best
3)
Fitting Statistical Distributions: An Overview
Authored by: Zaven A. Karian , Edward J. Dudewicz , Kunio Shimizu
In: Handbook of Fitting Statistical Distributions with R
https://www.routledgehandbooks.com/doi/10.1201/b10159-3
good luck
Hamid
Hello Andrew Paul McKenzie Pegman ,
Thanks for clearing my doubt,
As you mentioned here about distribution, that is so true we have to select a distribution and fit our datasets as per the different types of distribution available. So, do you mean that the fitting of any data set depends on the type of distributions we select ?? In general, how can we explain the fitting terms here..
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