STATISTICAL CALIBRATION - A REVIEW

被引：198

作者：

OSBORNE, C

机构：

来源：

INTERNATIONAL STATISTICAL REVIEW | 1991年 / 59卷 / 03期

关键词：

ABSOLUTE CALIBRATION; BAYES ESTIMATOR; CLASSICAL ESTIMATOR; COMPARATIVE CALIBRATION; CROSS-VALIDATION; INVERSE ESTIMATOR; LINEAR MODEL; MARGINAL LIKELIHOOD; MEAN SQUARED ERROR; MULTIVARIATE REGRESSION; NONLINEAR MODEL; NONPARAMETRIC REGRESSION; OPTIMAL DESIGN; PROFILE LIKELIHOOD; SIMULTANEOUS CONFIDENCE INTERVALS;

D O I：

10.2307/1403690

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

This paper reviews the wide variety of approaches to both univariate and multivariate calibration. In particular, in univariate calibration, it considers the classical, inverse, Bayesian and non-parametric approaches together with the approaches via tolerance regions. In multivariate calibration, it considers the ridge regression, multiple linear regression, partial least squares regression and principal components regression approaches together with the Bayesian and profile likelihood approaches. An extensive bibliography is provided.

引用

页码：309 / 336

页数：28

共 106 条

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