Description

Book Synopsis
Statistical techniques have assumed an integral role in both the interpretation and quality assessment of analytical results. This book describes the range of statistical methods for such tasks, with the advantages and disadvantages of each technique clarified by use of examples.

Trade Review
"What makes this book stand out is its introductory and fundamental character and its good working up from a didactic point of view with easily understandable examples from the fields of analytical chemistry. This enables the reader to understand the selected statistical and mathematical methods introduced."

"This book can be recommended to students and scientists who are interested in a brief introduction to selected statistical and mathematical methods for treatment of analytical data. It gives a good overview of the mathematical fundamentals of the methods presented. Simple examples from the practice of analytical chemistry substantiate the reader's understanding of what happens if chemometric methods are applied." Anal Bioanal Chem 2006



Table of 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

Statistical Treatment of Analytical Data

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£126.85

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RRP £140.95 – you save £14.10 (10%)

Order before 4pm today for delivery by Tue 23 Dec 2025.

A Hardback by Zeev B. Alfassi

15 in stock


    View other formats and editions of Statistical Treatment of Analytical Data by Zeev B. Alfassi

    Publisher: John Wiley and Sons Ltd
    Publication Date: 24/11/2004
    ISBN13: 9780632053674, 978-0632053674
    ISBN10: 0632053674

    Description

    Book Synopsis
    Statistical techniques have assumed an integral role in both the interpretation and quality assessment of analytical results. This book describes the range of statistical methods for such tasks, with the advantages and disadvantages of each technique clarified by use of examples.

    Trade Review
    "What makes this book stand out is its introductory and fundamental character and its good working up from a didactic point of view with easily understandable examples from the fields of analytical chemistry. This enables the reader to understand the selected statistical and mathematical methods introduced."

    "This book can be recommended to students and scientists who are interested in a brief introduction to selected statistical and mathematical methods for treatment of analytical data. It gives a good overview of the mathematical fundamentals of the methods presented. Simple examples from the practice of analytical chemistry substantiate the reader's understanding of what happens if chemometric methods are applied." Anal Bioanal Chem 2006



    Table of 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

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