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Laboratory Statistics
Handbook of Formulas and Terms
- 1st Edition - September 6, 2013
- Author: Anders Kallner
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 4 1 6 9 7 1 - 5
- eBook ISBN:9 7 8 - 0 - 1 2 - 4 1 6 9 7 3 - 9
Laboratory Statistics: Handbook of Formulas and Terms presents common strategies for comparing and evaluating numerical laboratory data. In particular, the text deals with the ty… Read more
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Institutional subscription on ScienceDirect
Request a sales quote- Comprehensive coverage of simple statistical concepts familiarizes the reader with formatted statistical expression
- Simple, worked examples make formulas easy to use in real life
- Spreadsheet functions demonstrate how to find immediate solutions to common problems
- In-depth indexing and frequent use of synonyms facilitate the quick location of appropriate procedures
Analytical and clinical chemists, epidemiologists, researchers in all laboratory science disciplines, physicists, engineers, and students in these areas
Acknowledgment
Introduction
Vocabulary and Concepts in Metrology
Some Notes on Nomenclature
Formulas
Abstract
Basics
Distributions of Data
Robust Estimators
Analysis of Variance
Difference Between Results; Student’s t-Tests
Nonparametric Comparisons
Regression
Correlation and Covariance
Comparing Quantities
Performance Characteristics
Estimation of Minimal Sample Size (Power Analysis)
Agreement Between Categorical Assessments (Kappa (κ)-Statistics)
Reference
Some Metrological Concepts
Abstract
Metrology, Accuracy, Trueness, and Precision
Uncertainty Concept and Uncertainty Budget
Miscellanea
Further Reading
Index
- No. of pages: 154
- Language: English
- Edition: 1
- Published: September 6, 2013
- Imprint: Elsevier
- Paperback ISBN: 9780124169715
- eBook ISBN: 9780124169739
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Anders Kallner
Dr. Kallner’s scientific work has spanned a wide field ranging from organic synthesis and metabolism of cholesterol to epidemiological and metabolic studies of vitamin D. An interest in quality management and development of routines for quality assessment in the laboratory required studies in programming and statistics. Eventually, Dr. Kallner recognized the need for a compendium of useful statistical procedures and formulas that could easily be used in programming and understanding of statistical procedure.