Quasi-Likelihood
| Year of Publication |
2025
|
|---|---|
| Author | |
| Book Title |
Generalized Linear Models and Extensions
|
| Number of Pages |
81-93
|
| ISBN Number |
978-981-96-4725-5
|
| Abstract |
The introduction of quasi-likelihood may be considered as a major breakthrough in modeling the data of different types without making assumption on the underlying distribution. For estimation based on the quasi-likelihood approaches, the knowledge about means and variance as a function of mean are the necessary inputs for developing a model and estimation become very flexible. This chapter discusses the application of quasi-likelihood approaches to both discrete and continuous outcomes. |
| DOI |
10.1007/978-981-96-4726-2_5
|
| Publisher |
Springer
|
| City |
Singapore
|
| Download citation |