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Statistics for Analytical Chemistry, by Jane C. Miller, James N. Miller
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Provides a clear explanation of the underlying principles of traditional statistical methods and reflects the enormous impact of microelectronics for the rapid calculation of chemometric procedures. Text focuses on tests appropriate to the problems likely to be encountered in the laboratory. Provides full coverage of such topics as errors in classical analysis; significance tests; quality control and sampling; errors in instrument analysis; regression and correlation; rapid and non-parametric methods; experimental design, optimization, and pattern recognition. Helpful for students, technicians, and scientists in all areas of analytical chemistry and related fields. 6 x 9.
- Sales Rank: #2716972 in Books
- Brand: Brand: Ellis Horwood Ltd
- Published on: 1993-07-09
- Original language: English
- Number of items: 1
- Dimensions: 9.50" h x 7.00" w x .75" l,
- Binding: Paperback
- 240 pages
- Used Book in Good Condition
From the Back Cover
This text/reference provides a clear explanation of the underlying principles of traditional statistical methods and reflects the enormous impact of microelectronics for the rapid calculation of chemometric procedures, such as pattern recognition, optimization, and numerical techniques. Focuses on tests appropriate to the problems likely to be encountered in the laboratory. Provides full coverage of such topics as: errors in classical analysis -- statistics of repeated measurements; significance tests; quality control and sampling; errors in instrument analysis; regression and correlation; rapid and non-parametric methods; experimental design, optimization, and pattern recognition.
For students, researchers, lab technicians, and scientists working in all areas of analytical chemistry and related sciences -- e.g., biochemistry, industrial chemistry, pharmaceutical analysis, environmental chemistry, forensic science, clinical chemistry.
Most helpful customer reviews
6 of 7 people found the following review helpful.
Statistics for Analytical Chemistry
By Makoto Niwa
Good textbook with detailed explanation on the matter how to deal with "errors" in analysis. Discussion on "weighted" regression of calibration curve, related to error models, is exellent. I recommend the book to any quantitative analysts.
0 of 0 people found the following review helpful.
Excellent presentation of material with real world examples
By Mary Wenninger
Excellent presentation of material with real world examples, test questions, and answers. Formulas are clearly presented. Should be on every analytical chemists' book shelf.
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