Literaturnachweis - Detailanzeige
| Autor/inn/en | Lee, Sik-Yum; Lu, Bin |
|---|---|
| Titel | Case-Deletion Diagnostics for Nonlinear Structural Equation Models |
| Quelle | In: Multivariate Behavioral Research, 38 (2003) 3, S.375-400 (26 Seiten)
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| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0027-3171 |
| DOI | 10.1207/S15327906MBR3803_05 |
| Schlagwörter | Structural Equation Models; Computation; Mathematics; Simulation; Mathematical Models; Observation; Measurement Techniques |
| Abstract | In this article, a case-deletion procedure is proposed to detect influential observations in a nonlinear structural equation model. The key idea is to develop the diagnostic measures based on the conditional expectation of the complete-data log-likelihood function in the EM algorithm. An one-step pseudo approximation is proposed to reduce the computational burden. Building blocks in the diagnostic measures are computed via the observations generated by the MH algorithm. Results from a simulation study and an illustrative real example are presented. (Author). |
| Anmerkungen | Lawrence Erlbaum Associates, Inc. 10 Industrial Avenue, Mahwah, NJ 07430-2262. Tel: 800-926-6579; Tel: 201-258-2200; Fax: 201-236-0072; e-mail: journals@erlbaum.com; Web site: http://www.LEAonline.com |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2017/4/10 |
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