頁籤選單縮合
題 名 | Analysis of Covariance Structures with Independent and Non-Identically Distributed Observations |
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作 者 | Lee,Sik-yum; Shi,Jian-qing; | 書刊名 | Statistica Sinica |
卷 期 | 8:2 1998.04[民87.04] |
頁 次 | 頁543-557 |
分類號 | 310 |
關鍵詞 | Analysis of covariance structures; Asymptotic normality; Consistency; Information matrix; Missing data; Multi-level structural equation model; |
語 文 | 英文(English) |
英文摘要 | The main purpose of this paper is to develop some asymptotic properties in analysis of covariance structures with independent but non-identically distributed observations. Consistency and asymptotic normality for the maximum likelihood estimation will be developed. Analogous results for the generalized least squares estimation will be provided. Applications of the general theory to two specific models are discussed. Finally, results from a simulation study will be presented to illustrate the theory developed. |
本系統中英文摘要資訊取自各篇刊載內容。