This study presents a process of three important steps leading to the validation of a probability distri-bution model. It discusses how a family of probability distribution models can be selected to stand as candidate models to fit a given set of quantitative data, and then it discusses the methods of classify-ing these candidate models. The last part presents hypothesis testing as the final step in the process of probability model validation
Lone, S. A., & Chambashi, G. (2023). THE THREE VITAL STEPS TO VALIDATING A PROBABILITY DISTRIBUTION MODEL. Results in Nonlinear Analysis, 6(4), 40–46. Retrieved from https://nonlinear-analysis.com/index.php/pub/article/view/127 DOI:10.31838/rna/2023.06.04.005
Item Type:
Article
Subjects:
Natural Sciences
University:
Unicaf University - Zambia
Divisions:
Candidate Model Selection, Model Fitting, Model Classification, Hypothesis Testing, Model Validation
Depositing User:
Showkat Ahmad Lonea, Gilbert Chambashi
Date Deposited:
October 2023