An Introduction to Error Analysis (as co‑author of early editions, if applicable)
E1470179
UNEXPLORED
An Introduction to Error Analysis is a widely used textbook that introduces students to the principles and practical techniques of estimating and understanding uncertainties in experimental measurements.
All labels observed (1)
| Label | Occurrences |
|---|---|
| An Introduction to Error Analysis (as co‑author of early editions, if applicable) canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T21174781 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: An Introduction to Error Analysis (as co‑author of early editions, if applicable) Context triple: [Edwin F. Taylor, notableWork, An Introduction to Error Analysis (as co‑author of early editions, if applicable)]
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A.
The Principles of Experimentation
The Principles of Experimentation is a key chapter that outlines the fundamental concepts and methodological guidelines for planning, conducting, and interpreting scientific experiments.
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B.
De origine erroris (On the Origin of Error)
De origine erroris (On the Origin of Error) is the second book of Lactantius’s early Christian apologetic work *Divinae Institutiones*, examining the roots and nature of human religious and philosophical error.
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C.
Gaussian law of error
The Gaussian law of error is a fundamental statistical principle stating that measurement errors tend to follow a normal (bell-shaped) distribution, forming the basis of much of probability theory and statistical inference.
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D.
The Design of Experiments
The Design of Experiments is a foundational statistics book by Ronald A. Fisher that established modern principles and methods for planning and analyzing scientific experiments.
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E.
error theory
Error theory is a branch of statistics and philosophy that studies the nature, sources, and mathematical treatment of inaccuracies in measurement and inference.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: An Introduction to Error Analysis (as co‑author of early editions, if applicable) Target entity description: An Introduction to Error Analysis is a widely used textbook that introduces students to the principles and practical techniques of estimating and understanding uncertainties in experimental measurements.
-
A.
The Principles of Experimentation
The Principles of Experimentation is a key chapter that outlines the fundamental concepts and methodological guidelines for planning, conducting, and interpreting scientific experiments.
-
B.
De origine erroris (On the Origin of Error)
De origine erroris (On the Origin of Error) is the second book of Lactantius’s early Christian apologetic work *Divinae Institutiones*, examining the roots and nature of human religious and philosophical error.
-
C.
Gaussian law of error
The Gaussian law of error is a fundamental statistical principle stating that measurement errors tend to follow a normal (bell-shaped) distribution, forming the basis of much of probability theory and statistical inference.
-
D.
The Design of Experiments
The Design of Experiments is a foundational statistics book by Ronald A. Fisher that established modern principles and methods for planning and analyzing scientific experiments.
-
E.
error theory
Error theory is a branch of statistics and philosophy that studies the nature, sources, and mathematical treatment of inaccuracies in measurement and inference.
- F. None of above. chosen
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
Edwin F. Taylor
→
notableWork
→
An Introduction to Error Analysis (as co‑author of early editions, if applicable)
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