The existence of maximum likelihood estimates from designed experiments

被引：1

作者：

Hamada, M ^{[1
]}

Tse, SK ^{[1
]}

机构：

[1] CITY UNIV HONG KONG,DEPT OPERAT RES & APPL STAT,HONG KONG,HONG KONG

来源：

JOURNAL OF QUALITY TECHNOLOGY | 1996年 / 28卷 / 02期

关键词：

fractional factorial design; linear programming; regression analysis;

D O I：

10.1080/00224065.1996.11979664

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Censored, grouped, ordinal, binary, and count data are often collected in industrial experiments. The paucity of data in typical industrial experiments results in estimability problems when fitting popular regression models to these data types. We present a FORTRAN program, MLECHK, which checks for the existence of maximum likelihood estimates.

引用

页码：244 / 254

页数：11

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