In this article we combine ideas from spatial statistics with lifetime data analysis techniques to investigate possible spatial variation in survival of adult acute myeloid leukemia patients in northwest England. Exploratory analysis suggests both clinically and statistically signiŽ cant variation in survival rates across the region. A multivariate gamma frailty model incorporating spatial depe...

Research on the initial stage of the current mortgage foreclosure crisis focuses on its causes, scope and economic impact. This study contributes to the emerging literature by showing how the crisis plays out differently across urban neighborhoods. Clearly, the two most immediate causal factors are the relative size of the housing bubble and the number of risky loans. Yet, neighborhoods also ar...

When partitioning the variation of univariate or multivariate ecological data with respect to several submodels of spatial eigenfunctions (e.g., Moran's eigenvector maps, MEM) acting as explanatory data, a problem occurs: although the submodels are constructed to be orthogonal to one another, the partitioning based on adjusted R2 statistics produces nonzero values in the intersections between s...

Variation in vital demographic (e.g., survival) rates of males can influence population dynamics, but the male segment of the population is frequently ignored in ecological studies of mammals. Using a multistate capture– mark–recapture model and 44 years (1962–2006) of data from 17 habitat patches, we investigated spatial and temporal variation in age-specific survival rates of male yellow-bell...

In many household surveys, geographically clustered households report unit values of foods, which when corrected for quality effects and for measurement error, indicate the underlying spatial variation in prices, and can be matched to variation in demand patterns so as to estimate price elasticities. A 1979 household survey from the Cote d'Ivoire is used to estimate price elasticities for beef,...

In this paper, we propose a novel method to estimate and characterize spatial variations on dies or wafers. This new technique exploits recent developments in matrix completion, enabling estimation of spatial variation across wafers or dies with a small number of randomly picked sampling points while still achieving fairly high accuracy. This new approach can be easily generalized, including fo...

estimating the amount of variation due to spatial dependence at different scales provides a basis for designing effective experiments. accurate knowledge of spatial structures is needed to inform silvicultural guidelines and management decisions for long term sustainability of forests. furthermore, geostatistics is a useful tool to describe and draw map the spatial variability and estimation of...