### Abstract

Linear calibration graphs were constructed from chromatographic response values by means of least squares statistical regression techniques to calculate amount estimates. The amount inverval estimates reflect both the uncertainties of measuring the response values and the uncertainty of the calibration graph. The following steps were followed: transformation of response variables to constant variance across the graph using a family of power transformations approach, transformation of the amount variable with similar transformations towards linearity, calculation of the regression coefficients by sums of squares, and solving the regression equation for unknowns.

Original language | English (US) |
---|---|

Publisher | ACS |

Number of pages | 33 |

ISBN (Print) | 0841209251 |

State | Published - 1985 |

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### All Science Journal Classification (ASJC) codes

- Chemistry(all)

### Cite this

*LINEAR CALIBRATION GRAPH AND ITS CONFIDENCE BANDS FROM REGRESSION ON TRANSFORMED DATA.*ACS.

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*LINEAR CALIBRATION GRAPH AND ITS CONFIDENCE BANDS FROM REGRESSION ON TRANSFORMED DATA.*ACS.

**LINEAR CALIBRATION GRAPH AND ITS CONFIDENCE BANDS FROM REGRESSION ON TRANSFORMED DATA.** / Kurtz, David A.; Rosenberger, James L.; Tamayo, Gwen J.

Research output: Book/Report › Book

TY - BOOK

T1 - LINEAR CALIBRATION GRAPH AND ITS CONFIDENCE BANDS FROM REGRESSION ON TRANSFORMED DATA.

AU - Kurtz, David A.

AU - Rosenberger, James L.

AU - Tamayo, Gwen J.

PY - 1985

Y1 - 1985

N2 - Linear calibration graphs were constructed from chromatographic response values by means of least squares statistical regression techniques to calculate amount estimates. The amount inverval estimates reflect both the uncertainties of measuring the response values and the uncertainty of the calibration graph. The following steps were followed: transformation of response variables to constant variance across the graph using a family of power transformations approach, transformation of the amount variable with similar transformations towards linearity, calculation of the regression coefficients by sums of squares, and solving the regression equation for unknowns.

AB - Linear calibration graphs were constructed from chromatographic response values by means of least squares statistical regression techniques to calculate amount estimates. The amount inverval estimates reflect both the uncertainties of measuring the response values and the uncertainty of the calibration graph. The following steps were followed: transformation of response variables to constant variance across the graph using a family of power transformations approach, transformation of the amount variable with similar transformations towards linearity, calculation of the regression coefficients by sums of squares, and solving the regression equation for unknowns.

UR - http://www.scopus.com/inward/record.url?scp=0021975318&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0021975318&partnerID=8YFLogxK

M3 - Book

AN - SCOPUS:0021975318

SN - 0841209251

BT - LINEAR CALIBRATION GRAPH AND ITS CONFIDENCE BANDS FROM REGRESSION ON TRANSFORMED DATA.

PB - ACS

ER -