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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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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
AK
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.