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Notes on statistics and data quality for analytical chemists / Michael Thompson, Philip J. Lowthian.

By: Contributor(s): Material type: TextTextPublication details: London : Imperial College Press ; Singapore ; Hackensack, NJ : World Scientific Pub. Co. [distributor], ©2011.Description: 1 online resource (xiii, 245 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781848166189
  • 1848166184
Subject(s): Genre/Form: Additional physical formats: Print version:: Notes on statistics and data quality for analytical chemists.DDC classification:
  • 543.072 23
LOC classification:
  • QD75.4.C45 T466 2011eb
Online resources:
Contents:
pt. 1. Statistics -- pt. 2. Data quality in analytical measurement.
Summary: The book is intended to help analytical chemists feel comfortable with the commonly used statistical operations and make effective use of the results. The emphasis is on computer-based methods that are applied in relation to measurement and the quality of the resulting data. The book is intended for analytical chemists working in industry but is at the level required for students taking first degrees or an MSc in analytical chemistry. The book is divided into quite short sections, each dealing with a single topic. The sections are as far as possible self-contained, but are extensively cross-re.
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Electronic-Books Electronic-Books OPJGU Sonepat- Campus E-Books EBSCO Available

Includes bibliographical references and index.

The book is intended to help analytical chemists feel comfortable with the commonly used statistical operations and make effective use of the results. The emphasis is on computer-based methods that are applied in relation to measurement and the quality of the resulting data. The book is intended for analytical chemists working in industry but is at the level required for students taking first degrees or an MSc in analytical chemistry. The book is divided into quite short sections, each dealing with a single topic. The sections are as far as possible self-contained, but are extensively cross-re.

Print version record.

pt. 1. Statistics -- pt. 2. Data quality in analytical measurement.

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