Mathematics
8 years ago

New test improves accuracy of fitting data to density functions.

Communications for Statistical Applications and Methods
A Study on Goodness-of-fit Test for Density with Unknown Parameters
Changkon Hang, Minyoung Lee

Paper Summary

The article explores ways to test if a chosen mathematical model fits real-world data well. The researchers focus on testing when the model's parameters are unknown. They adjust a test statistic proposed by others and analyze its performance compared to other tests using computer simulations.

Related papers

Theme background image
Mathematics
8 years ago

New test for regression models improves accuracy and power for small samples.

Multicollinearity
Regularization Methods
Model-Based Clustering
1 view
Decision Sciences
8 years ago

New test detects if regression models fit data accurately.

Statistical Control
Skew Distributions
Multicollinearity
Economics, Econometrics and Finance
6 years ago

New test offers more accurate and powerful density estimation for data analysis.

Financial Volatility
Ageing Research
Multicollinearity