Measurement-Methods Comparisons and Linear Statistical Relationship
The linear statistical relationship model can be used to compare two measurement procedures. Crude methods are now typically used in practice because the statistical concepts are often not understood by practitioners. To clarify concepts, we define three types of equivalency based on accuracy and pr...
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| Veröffentlicht in: | Technometrics 1999-08, Vol.41 (3), p.192-201 |
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| container_title | Technometrics |
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| creator | Tan, Charles Y. Iglewicz, Boris |
| description | The linear statistical relationship model can be used to compare two measurement procedures. Crude methods are now typically used in practice because the statistical concepts are often not understood by practitioners. To clarify concepts, we define three types of equivalency based on accuracy and precision of the measurement methods and show that the confidence interval for slope depends on sample size and information size. These insights lead to obtaining bounded confidence intervals and equivalence tests. The derived results provide the basis for designing and analyzing a comparison experiment. An example from practice is used to illustrate the methodology. |
| doi_str_mv | 10.1080/00401706.1999.10485668 |
| format | Article |
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| identifier | ISSN: 0040-1706 |
| ispartof | Technometrics, 1999-08, Vol.41 (3), p.192-201 |
| issn | 0040-1706 1537-2723 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_1271252 |
| source | Jstor Complete Legacy; JSTOR Mathematics & Statistics |
| subjects | Circles Confidence interval Confidence interval for slope Ellipses Equivalence test Errors-in-variable regression Exact sciences and technology Experiment design Fall lines Inference Linear inference, regression Linear regression Mathematics Maximum likelihood estimation Measurement-error model Probability and statistics Sample size Sciences and techniques of general use Statistical theories Statistics |
| title | Measurement-Methods Comparisons and Linear Statistical Relationship |
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