A bewilderingly large number of statistical quantities have been proposed to study outliers
and influence of individual observations in regression analysis. In this article we describe …

Reconstructions of upper ocean temperature (T) during the Holocene (10–0ka BP) were
established using the alkenone method from seven, high accumulation sediment cores …

The success of the first edition of Generalized Linear Models led to the updated Second
Edition, which continues to provide a definitive unified, treatment of methods for the analysis …

Since the original publication of the bestselling Modelling Binary Data, a number of
important methodological and computational developments have emerged, accompanied by …

Diagnostics for heteroscedasticity in regression Page 1 Biomtirika (1983), 70. 1, pp. 1-10 Printfd
in (Irrot Britain Diagnostics for heteroscedasticity in regression BY R. DENNIS COOK AND …

Non‐parametric regression using cubic splines is an attractive, flexible and widely‐
applicable approach to curve estimation. Although the basic idea was formulated many …

Statistical models usually involve some degree of approximation and therefore are nearly
always wrong. Because of this inexactness, an assessment of the influence of minor …

We consider hierarchical generalized linear models which allow extra error components in
the linear predictors of generalized linear models. The distribution of these components is …

The focus of this book is primarily on the development of pharmacokinetic and
pharmacokinetic-pharmacodynamic models. Models that are reported in the literature are …

This chapter introduces the general linear model, illustrating how it subsumes a variety of
standard applied models. It also introduces random vectors and matrices and the …