Time-Series Intervention Analysis Using ITSACORR: Fatal Flaws

被引：0

作者：

Huitema, Bradley E. ^{[1
]}

McKean, Joseph W. ^{[2
]}

Laraway, Sean ^{[3
]}

机构：

[1] Western Michigan Univ, Psychol, Kalamazoo, MI 49008 USA

[2] Western Michigan Univ, Stat, Kalamazoo, MI 49008 USA

[3] San Jose State Univ, Psychol, San Jose, CA 95192 USA

来源：

JOURNAL OF MODERN APPLIED STATISTICAL METHODS | 2007年 / 6卷 / 02期

关键词：

Autocorrelation; time-series intervention analysis; time-series regression with auoregressive errors;

D O I：

暂无

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：

The ITSACORR method (Crosbie, 1993, 1995) is evaluated for the analysis of two-phase interrupted time-series designs. It is shown that each component of the ITSACORR framework (including the structural model, the design matrix, the autocorrelation estimator, the ultimate parameter estimation scheme, and the inferential method) contains fatal flaws.

引用

页码：367 / 379

页数：13

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