Record Display for the EPA National Library Catalog

RECORD NUMBER: 18 OF 26

Main Title Statistical methods in analytical chemistry /
Author Meier, Peter C.,
Other Authors
Author Title of a Work
Zèund, Richard E.
Z und, Richard E.
Publisher Wiley,
Year Published 2000
OCLC Number 40964998
ISBN 0471293636; 9780471293637
Subjects Chemometrics ; Chemistry Techniques, Analytical--methods ; Chemistry Techniques, Analytical--statistics & numerical data ; Statistics as Topic--methods ; Analytische Chemie ; Chemometrie ; Statistik ; Chimie analytique--Méthodes statistiques ; Analytische Chemie--Statistische Analyse--Lehrbuch ; Statistische Analyse--Analytische Chemie--Lehrbuch ; Chemistry, Analytic--Statistical methods ; Chimie analytique--M ethodes statistiques
Internet Access
Description Access URL
http://www.loc.gov/catdir/description/wiley033/99025291.html
Contributor biographical information http://catdir.loc.gov/catdir/bios/wiley041/99025291.html
Publisher description http://catdir.loc.gov/catdir/description/wiley033/99025291.html
1850-9999 http://onlinelibrary.wiley.com/
Cover http://swbplus.bsz-bw.de/bsz085342165cov.htm
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EKBM  QD75.4.S8M45 2000 Research Triangle Park Library/RTP, NC 06/06/2003
ELDM  QD75.4.S8M45 2000 CCTE/GLTED Library/Duluth,MN 05/24/2023
Edition 2nd ed.
Collation xxvi, 424 pages : illustrations ; 25 cm.
Notes
"A Wiley-Interscience publication." Includes bibliographical references and index.
Contents Notes
"This book provides you with practical information on the use of statistical methods for solving real-world problems in complex industrial environments. Complete with examples from the chemical and pharmaceutical laboratory and manufacturing areas, this thoroughly updated book clearly demonstrates how to obtain reliable results by choosing the most appropriate experimental design and data evaluation methods." "Statistical Methods in Analytical Chemistry, Second Edition is a resource for laboratory scientists and engineers and project managers who need to assess data reliability; QC staff, regulators, and customers who want to frame realistic requirements and specifications; as well as educators looking for real-life experiments and advanced students in chemistry and pharmaceutical science."--Jacket.