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Adjustment for Density Method to Estimate Random Effects in Hierarchical Bayes Models
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Adjustment for Density Method to Estimate Random Effects in Hierarchical Bayes Models. |
| 개인저자 | Cao, Lijuan. |
| 단체저자명 | University of Maryland, College Park. Mathematics. |
| 발행사항 | [S.l.]: University of Maryland, College Park., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 142 p. |
| 기본자료 저록 | Dissertation Abstracts International 80-02B(E). Dissertation Abstract International |
| ISBN | 9780438402096 |
| 학위논문주기 | Thesis (Ph.D.)--University of Maryland, College Park, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
Adviser: Partha Lahiri. |
| 요약 | The Adjustment for Density Method (ADM) has received considerable attention in recent years. The method was proposed about thirty years back in approximating a complex univariate density by a density from the Pearson family of distributions. The |
| 일반주제명 | Statistics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
