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عنوان
Introduction to multivariate statistical analysis in chemometrics

پدید آورنده
/ Kurt Varmuza, Peter Filzmoser

موضوع
Chemometrics,Multivariate analysis

رده
E-BOOK

کتابخانه
Central Library, Center of Documentation and Supply of Scientific Resources

محل استقرار
استان: East Azarbaijan ـ شهر:

Central Library, Center of Documentation and Supply of Scientific Resources

تماس با کتابخانه : 04133443834

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
9781420059472 (acid-free paper)

NATIONAL BIBLIOGRAPHY NUMBER

Country Code
IR
Number
EN-59734

LANGUAGE OF THE ITEM

.Language of Text, Soundtrack etc
انگلیسی

COUNTRY OF PUBLICATION OR PRODUCTlON

Country of publication
IR

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Introduction to multivariate statistical analysis in chemometrics
General Material Designation
[Book]
First Statement of Responsibility
/ Kurt Varmuza, Peter Filzmoser

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Boca Raton
Name of Publisher, Distributor, etc.
: CRC Press,
Date of Publication, Distribution, etc.
, c2009.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
xiii, 321 p. , ill. , 25 cm.

NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.

Text of Note
Electronic

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references and index.

CONTENTS NOTE

Text of Note
"Using formal descriptions, graphical illustrations, practical examples, and R software tools, Introduction to Multivariate Statistical Analysis in Chemometrics presents simple yet thorough explanations of the most important multivariate statistical methods for analyzing chemical data. It includes discussions of various statistical methods, such as principal component analysis, regression analysis, classification methods, and clustering." "Written by a chemometrician and a statistician, the book reflects both the practical approach of chemometrics and the more formally oriented one of statistics. To enable a better understanding of the statistical methods, the authors apply them to real data examples from chemistry. They also examine results of the different methods, comparing traditional approaches with their robust counterparts. In addition, the authors use the freely available R package to implement methods, encouraging readers to go through the examples and adapt the procedures to their own problems."--BOOK JACKET.
Text of Note
Multivariate data -- Principal component analysis -- Calibration -- Classification -- Cluster analysis -- Preprocessing -- Appendix 1 : Symbols and abbreviations -- Appendix 2 : Matrix algebra -- Appendix 3 : Introduction to R.

TOPICAL NAME USED AS SUBJECT

Chemometrics
Multivariate analysis

LIBRARY OF CONGRESS CLASSIFICATION

Class number
E-BOOK

PERSONAL NAME - PRIMARY RESPONSIBILITY

Varmuza, Kurt,1942-

PERSONAL NAME - SECONDARY RESPONSIBILITY

Filzmoser, Peter

ORIGINATING SOURCE

Country
ایران

ELECTRONIC LOCATION AND ACCESS

Host name
9781420059472.pdf
Access number
عادی
Compression information
عادی
Date and Hour of Consultation and Access
9781420059472.pdf
Electronic Format Type
متن

old catalog

e

BL
1

a
Y

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