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    Chapter

    Second-Order Analysis of the Spatio-temporal Distribution of Human Campylobacteriosis in Preston, Lancashire

    We propose a method for analysing inhomogeneous spatio-temporal point process data by extending Baddeley’s et al. (2000) inhomogeneous K-function to the spatio-temporal setting. We develop a non-parametric estima...

    Edith Gabriel, Peter J. Diggle in geoENV VII – Geostatistics for Environmental Applications (2010)

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    Chapter

    Modelling the Bivariate Spatial Distribution of Amacrine Cells

    We are interested in studying the spatial dependency between the positions of on and off cholinergic amacrine cells because we hope this will tell us something about how the two cell types emerge during develo...

    Peter J. Diggle, Stephen J. Eglen in Case Studies in Spatial Point Process Mode… (2006)

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    Chapter

    Strain-ty** Transmissible Spongiform Encephalopathies Using Replicated Spatial Data

    This chapter describes progress towards the development of more objective methods for discriminating between the neuropathological features produced by different TSE strains, in particular with respect to the ...

    Simon Webster, Peter J. Diggle in Case Studies in Spatial Point Process Mode… (2006)

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    Chapter

    An Introduction to Model-Based Geostatistics

    The term geostatistics identifies the part of spatial statistics which is concerned with continuous spatial variation, in the following sense. The scientific focus is to study a spatial phenomenon, s(x)say, which...

    Peter J. Diggle, Paulo J. Ribeiro Jr. in Spatial Statistics and Computational Metho… (2003)

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    Chapter and Conference Paper

    Analysing Positive-Valued Spatial Data: the Transformed Gaussian Model

    The Gaussian assumption is often inappropriate for analysing geostatistical data. In such cases transformations can be used in an attempt to get nearly-Gaussian behaviour. In this paper we study the transforme...

    Ole F. Christensen, Peter J. Diggle in geoENV III — Geostatistics for Environment… (2001)

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    Chapter and Conference Paper

    Spatial and Longitudinal Data Analysis: Two Histories with a Common Future?

    A historically oriented review of spatial and longitudinal data analysis is presented. It is argued that these two branches of statistical research developed separately for good historical reasons, but that th...

    Peter J. Diggle in Modelling Longitudinal and Spatially Correlated Data (1997)

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    Chapter

    Introduction to Liang and Zeger (1986) Longitudinal Data Analysis Using Generalized Linear Models

    Kung-Yee Liang and Scott Zeger have been colleagues in the Department of Biostatistics, Johns Hopkins University, since 1982. They received the Snedecor Award in 1987 for their methodological work on longitudi...

    Peter J. Diggle in Breakthroughs in Statistics (1997)

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    Chapter and Conference Paper

    Comparing Estimated Spectral Densities Using GLIM

    A test due to Coates and Diggle (1985) for comparing two estimated spectra is reformulated as a generalised linear model with gamma errors and logarithmic link. This provides an immediate extension to the case...

    Peter J. Diggle in Generalized Linear Models (1985)