Statistics in Genetics and in the Environmental Sciences

by Fernholz, Luisa Turrin; Morgenthaler, Stephan; Stahel, Werner

• ISBN13: 9783764365752
• ISBN10: 3764365757
• Format: Hardcover
• Copyright: 2001-05-01
• Publisher: Birkhauser

Summary

This book grew out of a workshop on statistics in the sciences held on Monte Veritá, Switzerland, in the spring of 1999. It offers a snapshot of the role played by statistics in genetics and in the environmental sciences. A few papers dwell on genetic topics, others deal with risk assessment, in particular involving exposure to chemicals. Pollution is addressed in a survey of problems relating to atmospheric chemistry, and in an article on space debris. The collection finally presents several contributions on modern statistical methods in the sciences.The book will be particularly useful for statisticians who wish to be informed about the use of their methods in the sciences. They will also find a variety of open problems with explanations and solutions. On the other hand, the book does not require a high degree of expertise in statistics and can, on the whole, be read profitably by researchers in genetics and environmetrics.

Table of Contents

Foreword	v
List of Authors and Coauthors	vi
List of Participants	viii
Statistical Interaction with Quantitative Geneticists to Enhance Impact from Plant Breeding Programs	1	(16)
Kaye E. Basford
Outlier Resistance, Standardization, and Modeling Issues for DNA Microarray Data	17	(10)
Dhammika Amaratunga
Javier Cabrera
Variance Components Estimation with Uncertainty	27	(14)
Xiaoming Sheng
Chris Field
Robust Estimation for Chemical Concentration Data Subject to Detection Limits	41	(24)
Leo R. Korn
David E. Tyler
Risk Assessment of Low Dose Exposure to Carcinogens	65	(12)
Mendel Fygenson
A Stochastic Model of Carcinogenesis	77	(12)
Pablo Herrero
William G. Thilly
Stephan Morgenthaler
Statistical Modelling to Answer Key Questions in Atmospheric Chemistry: Three Case Studies	89	(16)
Johannes Staehelin
Werner A. Stahel
Space Debris: Flux in a Two Dimensional Orbit	105	(12)
David R. Brillinger
A Robust Approach to Common Principal Components	117	(30)
Graciela Boente
Liliana Orellana
A Robustified Version of Sliced Inverse Regression	147	(12)
Ursula Gather
Torsten Hilker
Claudia Becker
Similarities Between Location Depth and Regression Depth	159	(14)
Mia Hubert
Peter J. Rousseeuw
Stefan Van Aelst
Approximate τ-Estimates for Linear Regression Based on Sub-sampling of Elemental Sets	173
Jorge Adrover
Ana Bianco
Victor J. Yohai