Statistical tools are indispensable for the environmental sciences. They have become an integral part of the scientific process, from the development of the sampling plan to the obtainment of results. Statistics in Environmental Sciences provides the foundation for the interpretation of quantitative
Statistics in Genetics and in the Environmental Sciences
β Scribed by Kaye E. Basford (auth.), Luisa Turrin Fernholz, Stephan Morgenthaler, Werner Stahel (eds.)
- Publisher
- BirkhΓ€user Basel
- Year
- 2001
- Tongue
- English
- Leaves
- 188
- Series
- Trends in Mathematics
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Statistics is strongly tied to applications in different scientific disciplines, and the most challenging statistical problems arise from problems in the sciences. In fact, the most innovative statistical research flows from the needs of applications in diverse settings. This volume is a testimony to the crucial role that statistics plays in scientific disciplines such as genetics and environmental sciences, among others. The articles in this volume range from human and agricultural genetic DNA research to carcinogens and chemical concentrations in the environment and to space debris and atmospheric chemistry. Also included are some articles on statistical methods which are sufficiently general and flexible to be applied to many practical situations. The papers were refereed by a panel of experts and the editors of the volume. The contributions are based on the talks presented at the Workshop on Statistics and the Sciences, held at the Centro Stefano Franscini in Ascona, Switzerland, during the week of May 23 to 28, 1999. The meeting was jointly organized by the Swiss Federal Institutes of Technology in Lausanne and Zurich, with the financial support of the Minerva Research Foundation. As the presentations at the workshop helped the participants recognize the poΒ tential role that statistics can play in the sciences, we hope that this volume will help the reader to focus on the central role of statistics in the specific areas presented here and to extrapolate the results to further applications.
β¦ Table of Contents
Front Matter....Pages i-xiv
Statistical Interaction with Quantitative Geneticists to Enhance Impact from Plant Breeding Programs....Pages 1-15
Outlier Resistance, Standardization, and Modeling Issues for DNA Microarray Data....Pages 17-26
Variance Components Estimation with Uncertainty....Pages 27-39
Robust Estimation for Chemical Concentration Data Subject to Detection Limits....Pages 41-63
Risk Assessment of Low Dose Exposure to Carcinogens....Pages 65-75
A Stochastic Model of Carcinogenesis....Pages 77-87
Statistical Modelling to Answer Key Questions in Atmospheric Chemistry: Three Case Studies....Pages 89-103
Space Debris: Flux in a Two Dimensional Orbit....Pages 105-116
A Robust Approach to Common Principal Components....Pages 117-145
A Robustified Version of Sliced Inverse Regression....Pages 147-157
Similarities Between Location Depth and Regression Depth....Pages 159-172
Approximate Ο βEstimates for Linear Regression Based on Subsampling of Elemental Sets....Pages 173-183
β¦ Subjects
Statistical Theory and Methods
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<span>This book discusses the interplay between statistics, data science, machine learning and artificial intelligence, with a focus on environmental science, the natural sciences, and technology. It covers the state of the art from both a theoretical and a practical viewpoint and describes how to s
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