Meta-analysis is a common tool for synthesizing results of multiple studies. Among methods
for performing meta-analysis, the approach known as 'fixed effects' or 'inverse variance …

Often the relationship between response and predictor has been recorded for several levels
of a grouping variable. Examples are: enzymatic reaction rates for a range of substrate …

In fields such as biology, medical sciences, sociology, and economics researchers often
face the situation where the number of available observations, or the amount of available …

Observational studies compare subjects who received a specified treatment to others who
did not, without controlling assignment to treatment and comparison groups. When the …

I modelli lineari generalizzati estendono il modello lineare normale: la distribuzione della
risposta può essere non solo continua, ma anche discreta. La media della risposta può …

Forest Analytics with R combines practical, down-to-earth forestry data analysis and
solutions to real forest management challenges with state-of-the-art statistical and data …

Nonlinear regression analysis is a popular and important tool for scientists and engineers. In
this article, we introduce theories and methods of nonlinear regression and its statistical …

R . La variabilidad es una característica inherente al mundo que nos rodea.
Cuantificarla es clave para comprender muchos de los procesos de interés para las …

We outline how modern likelihood theory, which provides essentially exact inferences in a
variety of parametric statistical problems, may routinely be applied in practice. Although the …

Consider a model parameterized by θ==(ψ, λ), where ψ is the parameter of interest. The
problem of eliminating the nuisance parameter λ can be tackled by resorting to a pseudo …