Quantifying measurement : the tyranny of numbers /

Measurements and experiments are made each and every day, in fields as disparate as particle physics, chemistry, economics and medicine, but have you ever wondered why it is that a particular experiment has been designed to be the way it is. Indeed, how do you design an experiment to measure somethi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Williams, Jeffrey H. (Jeffrey Huw), 1956- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Rafael [California] (40 Oak Drive, San Rafael, CA, 94903, USA) : Morgan & Claypool Publishers, [2016]
Colección:IOP (Series). Release 3.
IOP concise physics.
Temas:
Measurement.
Metric system.
Mensuration and systems of measurement.
SCIENCE / Weights & Measures.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Introduction
  • 1. The tyranny of numbers
  • 1.1. Why we measure things
  • 1.2. A little history
  • 1.3. Surveying
  • 1.4. Other surveys
  • 2. The error in all things
  • 2.1. Introduction
  • 2.2. Méchain's 'error' in greater detail and least-squares
  • 2.3. The metric survey
  • 2.4. Least-squares
  • 2.5. Statistical methods
  • 3. A language for measurement
  • 3.1. Introduction
  • 3.2. The quality of measurements
  • 3.3. Measurement errors
  • 4. What is it that we measure, and what does it tell us?
  • 4.1. A classic laboratory experiment
  • 4.2. Precision measurements made infrequently
  • 4.3. An overabundance of uncertain data
  • 4.4. What makes the world go around?
  • 5. Measurement uncertainty
  • 5.1. Uncertainty
  • 5.2. Uncertainty in measurements
  • 5.3. Type A and Type B uncertainty
  • 5.4. Propagation of uncertainty
  • 5.5. Uncertainty evaluation
  • 5.6. Probability
  • 5.7. Expected value
  • 6. Guide to the expression of uncertainty in measurement (the GUM)
  • 6.1. Introduction
  • 6.2. Basic definitions
  • 6.3. Evaluating uncertainty components
  • 6.4. Uncertainty derived from some assumed distribution
  • 6.5. Combining uncertainty components
  • 6.6. Expanded uncertainty and coverage factor
  • 7. Clinical trials
  • 7.1. Introduction
  • 7.2. Sample size
  • 7.3. Statistical hypothesis testing
  • 8. Direct measurements : quadrupole moments and stray light levels
  • 8.1. Introduction
  • 8.2. Measuring the quadrupole moments of molecules
  • 8.3. Experimental details
  • 8.4. How many measurements do you need?
  • 9. Indirect measurement : the optical Kerr effect
  • 9.1. Introduction
  • 9.2. The optical Kerr effect
  • 10. Data fitting and elephants
  • 10.1. Introduction
  • 10.2. Regression analysis
  • 10.3. Over-fitting data
  • 10.4. Avoiding over-fitting.

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