Interval estimate for the X-intercept of a straight line: A nonlinear approach

E. Schechtman; C. Spiegelman; N. Moran

doi:10.1080/03610919808813527

Interval estimate for the X-intercept of a straight line: A nonlinear approach

E. Schechtman, C. Spiegelman, N. Moran

Department of Industrial Engineering and Management

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

We show that a non-linear representation of a straight line model provides an opportunity for achieving reasonable interval estimates of the X-intercept when straight line model methods fail to allow such an interval. Further, we show that non-linear methods are reasonable competitors to the standard straight line method in Graybill (1976), even when the straight line method gives an estimate. The advantage of the non-linear approach is that the intervals may be directly obtained by using standard statistical packages such as SAS^®. No extra programming is required.

Original language	English
Pages (from-to)	1093-1115
Number of pages	23
Journal	Communications in Statistics Part B: Simulation and Computation
Volume	27
Issue number	4
DOIs	https://doi.org/10.1080/03610919808813527
State	Published - 1 Jan 1998

Keywords

Asymptotics simulation
Calibration
Inverse regression
Least squares

ASJC Scopus subject areas

Statistics and Probability
Modeling and Simulation

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10.1080/03610919808813527

Cite this

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KW - Inverse regression

KW - Least squares

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Interval estimate for the X-intercept of a straight line: A nonlinear approach

Abstract

Keywords

ASJC Scopus subject areas

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