Due to the current situation the Delivey will be delayed than the standard shipping period (21 working days)
Call our hotline 011 7 463 463
| Author(s) :- Heller Gillian Z. (University of Sydney) | Format :- Hardback |
| Publisher :- Cambridge University Press | Pub. Date :- 2024-02-29 |
| ISBN-13 :- 9781009410069 | |
| Series:- Cambridge Series in Statistical and Probabilistic Mathematics | |
| Pagination :- 306 pages, Worked examples or Exercises | |
| Dimensions :- 186 x 264 x 28 | |
| Weight :- 758 |
This text provides a state-of-the-art treatment of distributional regression, accompanied by real-world examples from diverse areas of application. Maximum likelihood, Bayesian and machine learning approaches are covered in-depth and contrasted, providing an integrated perspective on GAMLSS for researchers in statistics and other data-rich fields.