An edition of Mathematical modelling with Chernobyl registry data (1995)

Mathematical modelling with Chernobyl registry data

registry and concepts

by , , and

Cover of: Mathematical modelling with Chernobyl registry data by W. Morgenstern, V. K. Ivanov, G. Schettler
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Last edited by ImportBot
February 26, 2022 | History
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An edition of Mathematical modelling with Chernobyl registry data (1995)

Mathematical modelling with Chernobyl registry data

registry and concepts

by , , and

This edition doesn't have a description yet. Can you add one?

Publish Date
Publisher
Springer
Language
English
Pages
110

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Subjects

Risk assessment, Mathematical models, Radioactive pollution, Risk factors, Radiation injuries, Patients, Registers, Chernobyl Nuclear Accident, Chornobylʹ, Ukraine, 1986, Nuclear power plants

Places

Former Soviet Republics
Edition Availability
Cover of: Mathematical modelling with Chernobyl registry data
Mathematical modelling with Chernobyl registry data: registry and concepts
1995, Springer
in English

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Book Details

Edition Notes

Includes bibliographical references.

Published in
Berlin, New York
Series
Veröffentlichungen aus der Geomedizinischen Furschungsstelle der Heidelberger Akademie der Wissenschaften, Supplement zu den Sitzungsberichten der Mathematisch-naturwissenschaftlichen Klasse ;, Jahrg. 1995

Classifications

Library of Congress
RA569 .M38 1995, RA1-1270

The Physical Object

Pagination
vi, 110 p. :
Number of pages
110

ID Numbers

Open Library
OL546651M
ISBN 10
3540604111
LCCN
96127133
OCLC/WorldCat
34201286
Goodreads
2325778

Source records

Library of Congress MARC record
Better World Books record

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History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
February 26, 2022 Edited by ImportBot import existing book
November 24, 2020 Edited by MARC Bot import existing book
April 14, 2010 Edited by Open Library Bot Linked existing covers to the edition.
April 11, 2010 Edited by bgimpertBot Added goodreads ID.
April 1, 2008 Created by an anonymous user Imported from Scriblio MARC record