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A general log‐linear model for the analysis of band recovery data
Author(s) -
Cooper Michael C.,
Bonett Douglas G.,
ElSaidi Mohammed A.
Publication year - 1998
Publication title -
environmetrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.68
H-Index - 58
eISSN - 1099-095X
pISSN - 1180-4009
DOI - 10.1002/(sici)1099-095x(199807/08)9:4<377::aid-env309>3.0.co;2-x
Subject(s) - estimator , goodness of fit , statistics , log linear model , statistical inference , mathematics , inference , wald test , computer science , linear model , statistical hypothesis testing , artificial intelligence
Many current methods of analyzing band recovery data are described by the classic monograph Statistical Inference from Band Recovery Data—A Handbook of Brownie et al . (1985). A log‐linear model with restricted minimum modified transformed chi‐square estimation and Wald type testing are proposed. The proposed model provides a general theory of band recovery sampling which unifies Brownie et al . (1985) models within a log‐linear framework. A general closed form estimator of recovery and survival rates is developed. Further, a general goodness of fit and hypothesis testing framework is presented. © 1998 John Wiley & Sons, Ltd.