Measurement Uncertainties in Science and Technology - Info and Reading Options
By Michael Grabe
"Measurement Uncertainties in Science and Technology" was published by Springer London, Limited in 2005, the book is classified in Technology & Engineering genre, it has 266 pages and the language of the book is English.
“Measurement Uncertainties in Science and Technology” Metadata:
- Title: ➤ Measurement Uncertainties in Science and Technology
- Author: Michael Grabe
- Language: English
- Number of Pages: 266
- Is Family Friendly: Yes - No Mature Content
- Publisher: Springer London, Limited
- Publish Date: 2005
- Genres: Technology & Engineering
“Measurement Uncertainties in Science and Technology” Subjects and Themes:
- Subjects: ➤ Error analysis (Mathematics) - Instrumental variables (Statistics) - Mensuration - Measurement - Error analysis (mathematics) - Statistics - Physics - Mathematical physics - Engineering mathematics - Measurement Science and Instrumentation - Appl.Mathematics/Computational Methods of Engineering - Mathematical Methods in Physics - Physics and Applied Physics in Engineering - Instrumentation Measurement Science - Weights and measures
Edition Specifications:
- Pagination: xi, 269
Edition Identifiers:
- Google Books ID: q9porOjCUnEC
- The Open Library ID: OL37099436M - OL5894521W
- ISBN-13: 9783540273196
- ISBN-10: 3540273190
- All ISBNs: 9783540273196 - 3540273190
AI-generated Review of “Measurement Uncertainties in Science and Technology”:
Snippets and Summary:
Ever since, error calculus has occupied a place at the heart of science. In this book, Grabe illustrates the breakdown of traditional error calculus in the face of modern measurement techniques.
"Measurement Uncertainties in Science and Technology" Description:
Google Books:
In this book, Grabe illustrates the breakdown of traditional error calculus in the face of modern measurement techniques. Revising Gauß` error calculus ab initio, he treats random and unknown systematic errors on an equal footing from the outset. Furthermore, Grabe also proposes what may be called well defined measuring conditions, a prerequisite for defining confidence intervals that are consistent with basic statistical concepts. The resulting measurement uncertainties are as robust and reliable as required by modern-day science, engineering and technology.
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- Public Domain: No
- Availability Status: Partially available
- Availability Status for country: US.
- Available Formats: Text is not avialbe, image copy is available.
- Google Books Link: Google Books
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