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Statistics in Genetics and in the Environmental Sciences (Fernholz, Luisa T. (Hrsg.) / Morgenthaler, Stephan (Hrsg.) / Stahel, Werner (Hrsg.))
Statistics in Genetics and in the Environmental Sciences
Autor Fernholz, Luisa T. (Hrsg.) / Morgenthaler, Stephan (Hrsg.) / Stahel, Werner (Hrsg.)
Verlag Springer EN
Co-Verlag Birkhäuser (Imprint/Brand)
Sprache Englisch
Einband Fester Einband
Erscheinungsjahr 2001
Seiten 183 S.
Artikelnummer 3221029
Verlagsartikelnummer 10836306
ISBN 978-3-7643-6575-2
Reihe Trends in Mathematics
Ausstattung/Verpackung EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Sonstiges Research
CHF 134.00
Vergriffen, keine Neuauflage
Zusammenfassung
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.