An Introduction to Error Analysis

Taylor, J. R. (1997). An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements. University Science Books.

Type

Book

Intellectual base

Textbook

Year

1997

Pages cited

166-168

ISBN

9780935702750

Link

https://uscibooks.aip.org/books/an-introduction-to-error-analysis-the-study-of-uncertainties-in-physical-measurements-second-edition/

Cited from

statistics_experimental_design

Cited by

3 citations across 3 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Calibration
  • A thermometer can be precise—producing consistent readings—while being miscalibrated; a well-designed calibration procedure reveals this discrepancy and corrects it.

    This sourceStandard introductory treatment of measurement error: develops the principle that uncertainty is reducible through better instruments, replication, and calibration but never wholly eliminable, including the distinction between a precise-but-miscalibrated instrument and an accurate one.

• Measurement Uncertainty and Observational Noise
  • This is distinct from fundamental complementarity; noise is instrumental and statistical, not structural.

    This sourceStandard introductory treatment: develops the principle that experimental uncertainty is reducible (through better instruments, replication, calibration) but never entirely eliminable, and frames inference as bounded by error propagation.

Domain-specific

• Chauvenet's criterion
  • … the suspected absolute standardized residual with that cutoff. to Measurement-science guidance can use the criterion as one diagnostic alongside provenance, instrument behavior, physical plausibility, residual structure, and robust analysis rather than as an unreviewed deletion command. demonstrates that continuity.

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