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- G. P. Patil, C. Taillie
- Environmental and Ecological Statistics
- 2004

A declared need is around for geoinformatic surveillance statistical science and software infrastructure for spatial and spatiotemporal hotspot detection. Hotspot means something unusual, anomaly, aberration, outbreak, elevated cluster, critical resource area, etc. The declared need may be for monitoring, etiology, management, or early warning. The… (More)

- G. P. Patil, C. Taillie
- Environmental and Ecological Statistics
- 2004

This paper is concerned with the question of ranking a finite collection of objects when a suite of indicator values is available for each member of the collection. The objects can be represented as a cloud of points in indicator space, but the different indicators (coordinate axes) typically convey different comparative messages and there is no unique way… (More)

- D. H. Wardrop, J. A. Bishop, +4 authors Charles Taillie
- Environmental and Ecological Statistics
- 2005

The Atlantic Slope Consortium (ASC) is a project designed to develop and test a set of indicators in coastal systems that are ecologically appropriate, economically reasonable, and relevant to society. The suite of indicators will produce integrated assessments of the condition, health and sustainability of aquatic ecosystems based on ecological and… (More)

- A. Kaur, G. P. Patil, A. K. Sinha, C. Taillie
- Environmental and Ecological Statistics
- 2004

The paper provides an up-to-date annotated bibliography of the literature on ranked set sampling. The bibliography includes all pertinent papers known to the authors, and is intended to cover applications as well as theoretical developments. The annotations are arranged in chronological order and are intended to be sufficiently complete and detailed that a… (More)

- Silvestre Colón, Ganapati P. Patil, Charles Taillie
- Environmental and Ecological Statistics
- 2004

We are interested in estimating the fraction of a population that possesses a certain trait, such as the presence of a chemical contaminant in a lake. A composite sample drawn from a population has the trait in question whenever one or more of the individual samples making up the composite has the trait. Let the true fraction of the population that is… (More)

The contents have not been subjected to Agency review and therefore do not necessarily reflect the views of the Agency and no official endorsement should be inferred. Abstract For landscapes that are cast as categorical raster maps, we present an en-tropy based method for obtaining a multiresolution characterization of spatial pattern. The result is a… (More)

- G. P. Patil, C. Taillie
- Environmental and Ecological Statistics
- 2004

A model is described for generating hierarchically scaled spatial pattern as represented in a thematic raster map. The model involves a series of Markov transition matrices, one for each level in the scaling hierarchy. In full generality, the model allows the transition matrices to be different at each level, potentially making available a large number of… (More)

Prepared with partial support from the NSF/EPA Water and Watersheds Program, National Science Foundation Cooperative Agreement Number DEB-9524722. The contents have not been subjected to Agency review and therefore do not necessarily reflect the views of the Agency and no official endorsement should be inferred.

This article develops a computationally and analytically convenient form of the profile likelihood method for obtaining one-sided confidence limits on scalar-valued functions phi = phi(psi) of the parameters psi in a multiparameter statistical model. We refer to this formulation as the likelihood contour method (LCM). In general, the LCM procedure requires… (More)

- Senin Banga, Ganapati P. Patil, Charles Taillie
- Environmental and Ecological Statistics
- 2004

Kodell and West (1993) describe two methods for calculating pointwise upper confidence limits on the risk function with normally distributed responses and using a certain definition of adverse quantitative effect. But Banga et al. (2000) have shown that these normal theory methods break down when applied to skew data. We accordingly develop a risk analysis… (More)