which is better distribution fitting or parametric process what is the correct approach to data fitting which model is best to conduct multi-imputation which process is better for determining probability distribution? what is the optimal approach to data distribution fitting which approach is best for determining a distribution what is the best approach to determining a distribution? why is it important to do a multimodal data analysis for data? what is the correct (or optimal) approach to distribution fitting? does the absence of missing values influence the fitting process how do you determine a distribution in data analysis what is the correct approach to data fitting why is the multi-imputation process better than the parametric process? what is the optimal approach to data distribution which of the following is an optimal approach to distribution fitting for a dataset? what is the correct (or optimal) approach to distribution fitting? what is the best approach in the field of probability distribution why is the mi process better how to perform multi imputation which approach would be better to use for estimating probability distributions of data