阿谀奉承 发表于 2025-3-21 16:36:16
书目名称Identification of Outliers影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0460841<br><br> <br><br>书目名称Identification of Outliers影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0460841<br><br> <br><br>书目名称Identification of Outliers网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0460841<br><br> <br><br>书目名称Identification of Outliers网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0460841<br><br> <br><br>书目名称Identification of Outliers被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0460841<br><br> <br><br>书目名称Identification of Outliers被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0460841<br><br> <br><br>书目名称Identification of Outliers年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0460841<br><br> <br><br>书目名称Identification of Outliers年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0460841<br><br> <br><br>书目名称Identification of Outliers读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0460841<br><br> <br><br>书目名称Identification of Outliers读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0460841<br><br> <br><br>积极词汇 发表于 2025-3-21 21:48:50
General theoretical principles,In Chapter 1, a distinction was made between situations in which our primary concern is to estimate one or more parameters of the underlying distribution, and that in which we wish to classify the data into ‘good’ data and outliers (if any).启发 发表于 2025-3-22 00:55:55
The gamma distribution,The general form of the gamma distribution is . The parameter α is a shape parameter and ß a scale parameter.SPASM 发表于 2025-3-22 07:10:29
Outliers from the linear model,The standard form of the general linear model is . where the . × 1 vector . represents the independent variables measured, the . matrix . is the design matrix, and . the . × 1 vector of unknown regression coefficients. The error vector . is assumed to consist of . independent, identically distributed N(0, ..) variables.vibrant 发表于 2025-3-22 11:05:01
Bayesian approach to outliers,We have already mentioned the suggestion by Glaisher that the usual arithmetic mean was not appropriate for observations having a common mean, but different precisions.AIL 发表于 2025-3-22 15:20:50
Miscellaneous topics,The general procedure for testing for outliers in a continuous distribution with unknown parameters is: find a suitable (e.g. complete sufficient) statistic . for the parameters, and then find a suitable outlier test statistic . whose distribution does not depend on the unknown parameters.挡泥板 发表于 2025-3-22 20:06:08
http://reply.papertrans.cn/47/4609/460841/460841_7.png冰河期 发表于 2025-3-22 23:29:26
http://reply.papertrans.cn/47/4609/460841/460841_8.pngCrohns-disease 发表于 2025-3-23 01:26:21
Non-parametric tests, is really not surprising. Most of the results that there are relate to slippage rather than outlier problems. Suppose that we are given .., . = 1 to .., . = 1 to . = ∑ .. observations from . groups. Let .. denote an arbitrary observation from population ..污点 发表于 2025-3-23 07:03:01
Introduction,er would be ‘an observation which deviates so much from other observations as to arouse suspicions that it was generated by a different mechanism’. An inspection of a sample containing outliers would show up such characteristics as large gaps between ‘outlying’ and ‘inlying’ observations and the dev