This paper provides an overview of the modelling process using generalized linear models
(GLMs), generalized additive models (GAMs) and generalized linear mixed models …

More than 120 surveys over 25 years suggest that appropriate use of the daily egg
production method (DEPM) provides unbiased but rather imprecise estimates of spawning …

This is the fourth book dedicated to distance sampling. The first (Buckland et al. 1993)
appeared at around the same time as the first version of the Distance software (Laake et al …

The first edition of this book has established itself as one of the leading references on
generalized additive models (GAMs), and the only book on the topic to be introductory in …

I discuss the production of low rank smoothers for d≥ 1 dimensional data, which can be
fitted by regression or penalized regression methods. The smoothers are constructed by a …

This topical and exciting textbook describes fisheries exploitation, biology, conservation and
management, and reflects many recent and important changes in fisheries science. These …

and chapter 7 focuses on modeling of spatial distribution of diseases. Finally, chapter 8
explains data-driven and knowledge-driven modeling for risk assessment and management …

Generalized additive models (GAMs) have been popularized by the work of Hastie and
Tibshirani (Generalized Additive Models (1990)) and the availability of user friendly gam …

Generalized Additive Models (GAMs) have become quite popular as a result of the work of
Wahba (1990) and co-workers and Hastie & Tibshirani (1990). Package mgcv provides tools …

A general method for constructing low-rank tensor product smooths for use as components
of generalized additive models or generalized additive mixed models is presented. A …