SYMBOLIC COMPUTATION - A UNIFIED APPROACH TO STUDYING LIKELIHOOD

被引：7

作者：

STAFFORD, JE

ANDREWS, DF

WANG, Y

机构：

[1] WESTERN SCI CTR,DEPT STAT & ACTUANAL SCI,LONDON W6A 5B7,BC,CANADA

[2] UNIV TORONTO,DEPT STAT,TORONTO,ON M5S 1A1,CANADA

[3] HLTH & WELF CANADA,CTR ENVIRONM HLTH B,OTTAWA,ON K1A 0L2,CANADA

来源：

STATISTICS AND COMPUTING | 1994年 / 4卷 / 04期

关键词：

ASYMPTOTIC EXPANSIONS; BARTLETT IDENTITIES; EXPECTATION; LIKELIHOOD; SYMBOLIC COMPUTATION;

D O I：

10.1007/BF00156746

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We describe a set of procedures that automate many algebraic calculations common in statistical asymptotic theory. The procedures are very general and severe to unify the study of likelihood and likelihood type functions. The procedures emulate techniques one would normally carry out by hand; this strategy is emphasised throughout the paper. The purpose of the software is to provide a practical alternative to difficult manual algebraic computations. The result is a method that is quick and free of clerical error.

引用

页码：235 / 245

页数：11

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