MTU Cork Library Catalogue

Syndetics cover image
Image from Syndetics

Chemometrics for analytical chemistry.

Contributor(s): Meloun, M. (Milan), 1943- | Militký, Miří | Forina, Michele.
Material type: materialTypeLabelBookSeries: Ellis Horwood series in analytical chemistry.Publisher: New York : Ellis Horwood, 1992-Description: v. <1 > : ill. ; 25 cm.ISBN: 0131263765 .Subject(s): Chemistry, Analytic -- Data processingDDC classification: 543.00151
Contents:
Errors in instrumental measurements -- Exploratory and confirmatory analysis of univariate data -- Statistical analysis of univariate data -- Analysis of variance (ANOVA) -- Exploratory and factor analysis of multivariate data.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
General Lending MTU Bishopstown Library Lending 543.00151 (Browse shelf(Opens below)) 1 Available 00007104
Total holds: 0

Enhanced descriptions from Syndetics:

Explores the use of robust and confirmatory statistical techniques for the investigation of chemometric data in a wide range of experimental approaches using IBM or compatible machines. For researchers in analytical, physical, general and inorganic chemistry, and chemical engineering, plus practitioners and researchers of biochemistry, environmental chemistry, forensic science, clinical chemistry and pharmaceutical analysis. PREVIOUSLY ANNOUNCED IN 11/91 PTR AGENCY CATALOG.

Includes bibliographical references and indexes.

Errors in instrumental measurements -- Exploratory and confirmatory analysis of univariate data -- Statistical analysis of univariate data -- Analysis of variance (ANOVA) -- Exploratory and factor analysis of multivariate data.

Reviews provided by Syndetics

CHOICE Review

The authors have targeted this book for "advanced undergraduates and postgraduates. . .and for working professionals. . . ," just about right, although it may be a bit of a stretch for undergraduates unless they have a statistics background. A unique and welcome addition to the field of statistics for scientists in general and chemists in particular, this compact, concise treatise makes considerable use of the personal computer as an interactive tool for illustrating and problem-solving. It contains all of the major topics that a scientist needs to properly evaluate the significance of analytical data. These topics include measurement errors, analysis of univariate data, analysis of variance (ANOVA), and factor analysis of multivariate data. There are many examples and problems throughout meant to be worked out on a computer. The result is a synergism--one becomes more facile with the computer as a statistical tool and with chemometrics. Strongly recommended for any chemist who needs to use statistical methods. Graduate; faculty. J. A. Siegel; Michigan State University

Powered by Koha