JOURNAL ARTICLE

Confidence Interval Estimation in Non-Linear Regression

Max Halperin

Year: 1963 Journal:   Journal of the Royal Statistical Society Series B (Statistical Methodology) Vol: 25 (2)Pages: 330-333   Publisher: Oxford University Press

Abstract

SUMMARY In a recent paper, E. J. Williams presents a procedure for obtaining what are described as fiducial intervals and regions for the non-linear parameters in non-linear regression. The linear parameters are not included in the regions which are developed and the class of non-linear regression functions for which his results hold is not clearly delineated. In this paper, it is shown how some results from standard regression theory can be used to discuss these points; the discussion also implies that the intervals and regions described by Williams are confidence intervals and regions.

Keywords:
Proper linear model Linear regression Confidence interval Mathematics Statistics Regression General linear model Linear model Nonlinear regression Regression dilution Regression analysis Class (philosophy) Confidence region Interval (graph theory) Bayesian multivariate linear regression Computer science Artificial intelligence Combinatorics

Metrics

53
Cited By
2.01
FWCI (Field Weighted Citation Impact)
1
Refs
0.90
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Statistical Methods and Models
Physical Sciences →  Mathematics →  Statistics and Probability

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