State–space models (SSMs) are an important modeling framework for analyzing ecological
time series. These hierarchical models are commonly used to model population dynamics …

Importance Previous meta-analyses suggest that fluoride exposure is adversely associated
with children's IQ scores. An individual's total fluoride exposure comes primarily from fluoride …

Start Analyzing a Wide Range of Problems Since the publication of the bestselling, highly
recommended first edition, R has considerably expanded both in popularity and in the …

An accessible introduction to indirect estimation methods, both traditional and model-based.
Readers will also find the latest methods for measuring the variability of the estimates as …

Praise for the First Edition" This pioneering work, in which Rao provides a comprehensive
and up-to-date treatment of small area estimation, will become a classic... I believe that it has …

It has been an amazing time since the publication of the first edition, with vast changes
taking place in the fields of mixed effects models and their applications. At the time when the …

The standard two-stage approach for estimating non-linear dose–response curves based on
aggregated data typically excludes those studies with less than three exposure groups. We …

New types of phenoty** tools generate large amounts of data on many aspects of plant
physiology and morphology with high spatial and temporal resolution. These new …

Aim Elucidating patterns in species responses to habitat fragmentation is an important focus
of ecology and conservation, but studies are often geographically restricted, taxonomically …

A good statistical analysis of genotype× environment interactions (G× E) is a key
requirement for progress in any breeding program. Data for G× E analyses traditionally …