ORTHOGONAL PARAMETERS WITH CENSORED-DATA

被引：2

作者：

DOGANAKSOY, N

SCHMEE, J

机构：

[1] GE,CORP R&D,SCHENECTADY,NY 12301

[2] UNION COLL,INST GRAD MANAGEMENT,SCHENECTADY,NY 12308

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1993年 / 22卷 / 03期

关键词：

LOCATION-SCALE DISTRIBUTION; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER TRANSFORMATION;

D O I：

10.1080/03610929308831047

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：

Orthogonal parameters possess inferential, numerical and interpretational conveniences. Many practical models require transformation of the natural parameters to obtain orthogonal parameters. This paper explores properties, construction and interpretation of orthogonal parameters for location-scale distributions under censoring of data.

引用

页码：669 / 685

页数：17

共 50 条

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