Statistical treatment of analytical data / Zeev B. Alfassi, Zvi Boger, Yigal Ronen.

By: Alfassi, Zeev B
Contributor(s): Boger, Zvi | Ronen, Yigal, 1940-
Publisher: Oxford: Blackwell Science, 2005Description: 1 online resource (vi, 266 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 0632053674; 084932436X (CRC Press); 9781444305357Subject(s): ChemometricsGenre/Form: Electronic booksDDC classification: 543.0727 LOC classification: QD75.4.C45 | A54 2005Online resources: Full text available at Wiley Online Library Click here to view
Contents:
1: Introduction. 2: Statistical Measures of Experimental Data. 3: Distribution functions. 4: Confidence limits of the mean. 5: Significance test. 6: Outliers. 7: Instrumental Calibration – Regression Analysis. 8: Identification of analyte by multi measurement analysis. 9: Smoothing of Spectra Signals. 10: Peak Search and Peak Integration. 11: Fourier Transform Methods. 12: General and specific issues in uncertainty analysis. 13: Artificial Neural Networks in Analytical Chemistry
Summary: Statistical Treatment of Analytical Data is written for professional analytical chemists in industry, government and research institutions who require a practical understanding of the application of statistics in day to day activities in the analytical laboratory. It is also for students who require further and detailed information that may not be available directly in a typical undergraduate course.
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
Item type Current location Home library Call number Copy number Status Date due Barcode Item holds
EBOOK EBOOK COLLEGE LIBRARY
COLLEGE LIBRARY
543.0727 Al283 2005 (Browse shelf) Available CL-52210
EBOOK EBOOK COLLEGE LIBRARY
COLLEGE LIBRARY
543.0727 Al283 2005 (Browse shelf) c.2 Available CL-52514
Total holds: 0

Includes bibliographical references and index.

1: Introduction.
2: Statistical Measures of Experimental Data.

3: Distribution functions.

4: Confidence limits of the mean.

5: Significance test.

6: Outliers.

7: Instrumental Calibration – Regression Analysis.

8: Identification of analyte by multi measurement analysis.

9: Smoothing of Spectra Signals.

10: Peak Search and Peak Integration.

11: Fourier Transform Methods.

12: General and specific issues in uncertainty analysis.

13: Artificial Neural Networks in Analytical Chemistry

Statistical Treatment of Analytical Data is written for professional analytical chemists in industry, government and research institutions who require a practical understanding of the application of statistics in day to day activities in the analytical laboratory. It is also for students who require further and detailed information that may not be available directly in a typical undergraduate course.

There are no comments for this item.

to post a comment.