Estimating the Locations of Multiple Change Points in the Mean

被引:0
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作者
Joe H. Sullivan
机构
[1] Mississippi State University,
[2] MSU,undefined
来源
Computational Statistics | 2002年 / 17卷
关键词
Schwarz Information Criterion;
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摘要
Detecting and estimating the number and locations of multiple change points is difficult. Sometimes a single-change method can locate multiple shifts by recursively dividing the data at the most likely location of a single shift. However, a single-change method may not detect the presence of multiple changes and may not accurately estimate a division point when multiple changes are present.
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页码:289 / 296
页数:7
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