Mathematics
3 years ago

New method revolutionizes estimation of complex relationships in data analysis.

1 view
Biometrika
Maximum Likelihood Estimation of the General Nonlinear Functional Relationship with Replicated Observations and Correlated Errors
G. R. Dolby, S. Lipton

Paper Summary

The article discusses a method for estimating complex relationships between variables when there are multiple observations and errors are correlated. The researchers used a maximum likelihood approach to find the best fit for these relationships. Their findings provide a way to accurately estimate nonlinear functional relationships in scientific research.

Related papers

Theme background image
Mathematics
2 years ago

Errors corrected in key theorem on maximum likelihood estimate in variance components models.

Multicollinearity
Regularization Methods
Inductive Modeling
3 views
Theme background image
Biochemistry, Genetics and Molecular Biology
3 years ago

Unlocking Genetic Potential: Mixed Models Revolutionize Trait Evaluations

Genomic Selection
3 views
Economics, Econometrics and Finance
8 years ago

New method predicts crop yields with precision, revolutionizing agricultural practices.

Discrete Choice
Spatial Econometrics
Experimental Design
2 views