Advertisement

Statistics in Genetics and in the Environmental Sciences

  • Luisa Turrin Fernholz
  • Stephan Morgenthaler
  • Werner Stahel

Part of the Trends in Mathematics book series (TM)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Xiaoming Sheng, Chris Field
    Pages 27-39
  3. Pablo Herrero, William G. Thilly, Stephan Morgenthaler
    Pages 77-87
  4. David R. Brillinger
    Pages 105-116
  5. Graciela Boente, Liliana Orellana
    Pages 117-145
  6. Ursula Gather, Torsten Hilker, Claudia Becker
    Pages 147-157
  7. Mia Hubert, Peter J. Rousseeuw, Stefan Van Aelst
    Pages 159-172

About these proceedings

Introduction

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 po­ 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.

Keywords

DNA Microarray Statistical genetics Variance environmental sciences genetics linear regression statistics

Editors and affiliations

  • Luisa Turrin Fernholz
    • 1
  • Stephan Morgenthaler
    • 2
  • Werner Stahel
    • 3
  1. 1.Department of StatisticsTemple UniversityPhiladelphiaUSA
  2. 2.Department of MathematicsSwiss Federal Institute of Technology, EPFL-DMALausanneSwitzerland
  3. 3.Seminar for StatisticsSwiss Federal Institute of Technology, ETH-SOLZürichSwitzerland

Bibliographic information

Industry Sectors
Pharma
Biotechnology
Finance, Business & Banking
IT & Software
Telecommunications
Consumer Packaged Goods
Aerospace
Oil, Gas & Geosciences
Engineering