Commentary on high-performance computing and statistical analysis: From large-scale data analysis to smoothing functions

被引：0
|
作者：
Mark L. Davison
机构：
[1] University of Minnesota,Department of Educational Psychology
来源：
Behavior Research Methods, Instruments, & Computers | 1997年 / 29卷
关键词：
Behavior Research Method; Data Element; Seasonal Trend; Massive Database; Polynomial Smoothing;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
High-performance computing becomes essential to statistical analysis when the database is massive or the number of computations per data element is large. Albert F. Anderson (1997) discusses the application of high-performance computing to massive databases; J. O. Ramsay’s (Ramsay, Heckman, & Silverman, 1997) estimation problems potentially require large numbers of computations per data element.
引用
收藏
页码：107 / 108
页数：1
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