Patching rainfall data using regression methods .1. Best subset selection, EM and pseudo-EM methods: theory

被引:23
作者
Makhuvha, T
Pegram, G
Sparks, R
Zucchini, W
机构
[1] UNIV CAPE TOWN,DEPT STAT SCI,ZA-7700 RONDEBOSCH,SOUTH AFRICA
[2] UNIV NATAL,DEPT CIVIL ENGN,ZA-4001 DURBAN,SOUTH AFRICA
[3] CSIRO,DIV MATH & STAT,LINDFIELD,NSW 2070,AUSTRALIA
[4] UNIV GOTTINGEN,INST STAT OKONOMETRIE,D-3400 GOTTINGEN,GERMANY
关键词
D O I
10.1016/S0022-1694(96)03285-4
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In this first paper in a set of three, the problem of patching missing values in rainfall records is described, together with some possible solutions, The techniques are confined to regression methods. Two approaches for patching are explored; that based on best subset selection and that based on the expectation-maximisation (EM) algorithm. The background theory and some mathematics are used to justify six different techniques. Comparisons of efficiency and practical implementation are deferred to the second and third papers.
引用
收藏
页码:289 / 307
页数:19
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