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Data Depth Trimming Counterpart of the Classical t ( or T 2 ) Procedure
| Content Provider | Semantic Scholar |
|---|---|
| Author | Zuo, Yijun |
| Copyright Year | 2009 |
| Abstract | The classical t or T2 in high dimensions inference procedure for unknown mean μ : X ± tα n − 1Sn/ √ n or {μ : n x − μ ′S−1 x − μ ≤ χ2 1−α p } is so fundamental in statistics and so prevailing in practices; it is regarded as an optimal procedure in the mind of many practitioners. It this manuscript we present a new procedure based on data depth trimming and bootstrapping that can outperform the classical t or T2 in high dimensions confidence interval or region procedure. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://emis.maths.tcd.ie/EMIS/journals/HOA/JPS/Volume2009/373572.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Bootstrapping (compilers) Inference Manuscripts Mind QT interval feature (observable entity) |
| Content Type | Text |
| Resource Type | Article |