We review statistical methods for analysing healthcare resource use and costs, their ability
to address skewness, excess zeros, multimodality and heavy right tails, and their ease for …

A finite mixture model is well-known in statistics due to its versatility and is being actively
researched. This paper reviews finite mixture model literature via bibliometric analysis …

This is a book about statistical distributions, their properties, and their application to
modelling the dependence of the location, scale, and shape of the distribution of a response …

" Introduction God made the integers, all the rest is the work of man.-Kronecker. This book is
concerned with models of event counts. An event count refers to the number of times an …

This book provides the most comprehensive treatment to date of microeconometrics, the
analysis of individual-level data on the economic behavior of individuals or firms using …

The classical Poisson, geometric and negative binomial regression models for count data
belong to the family of generalized linear models and are available at the core of the …

The “count data”? eld has further? ourished since the previous edition of this book was
published in 2003. The development of new methods has not slowed down by any means …

Do consumers really care where products come from and how they are made? Is there such
a thing as an'ethical consumer'? Corporations and policy makers are bombarded with …

Sandwich covariance matrix estimators are a popular tool in applied regression modeling for
performing inference that is robust to certain types of model misspecification. Suitable …

Abstract A decade ago, Newhouse (1987) assessed the balance of trade between imports
from the econometrics literature into health economics, and exports from health economics …