Use of outlier in Sentences. 27 Examples
The examples include outlier at the start of sentence, outlier at the end of sentence and outlier in the middle of sentence
For urdu meanings and examples of outlier click here
outlier at the start of sentence
- Outlier testing is a statistical procedure for identifying from an array those data that are extreme.
outlier at the end of sentence
- Britain, as ever, is an outlier.
- Such a value may qualify a statistical outlier.
- Gladwell has some interesting theories on what outlier.
- Even obdurate India has begun to look less of an outlier.
- Among Europe's historically Catholic lands, France is an outlier.
- At that point, I stopped my survey. Four and you're out. Put kindly, I'm an outlier.
- This result supports the authors viewpoint about kurtosis statistical meanings:kurtosis is a kind of measure of population datas degree of outlier.
- If a cluster contains, for instance, mostly very young people with high average balance, then this is probably a good explanation of why this cluster was identified as an outlier.
outlier in the middle of sentence
- The possible use of outlier tests should be determined in advance.
- Wavelet analysis has unique features in outlier detection, denoising and etc.
- Rather than an outlier, they could be the edge of change for the hedge - fund world.
- The Fisher - type statistic is very effective for testing outlier in exponential sample.
- In this paper , a research on the outlier mining method for time series data is undertaken.
- The method can be used to filtrate the outlier data and discover clusters of arbitrary shape.
- The population of its large parish, which included several rural outliers, stood at about 2,700.
- Incremental mining algorithms based on local outlier factor demand multiple scans of the data set.
- An kernel clustering intrusion detection approach based on outlier detection is presented in this paper.
- Britain's crowded media market is an international outlier, both for its rowdiness and its professionalism.
- In this paper , the framework of network intrusion detection technology Based unsupervised outlier detection is discussed.
- Data Ming techniques can be used to association analysis, classification, clustering, forecasting and outlier mining, etc.
- This paper presents an outlier pattern detection algorithm of time series based on K-Mean Distance outlier Factor (K-MDOF).
- Excluding the few outliers, we can calculate the square root of the average squared error over all subjects for each repetition.
- The sample breakdown point of a test is defined as the smallest proportion of arbitrary outlier in the sample that reverse the test decision.
- The outlier details page contains the customer records that are flagged as outliers, which belong to the profession selected in the main report page.
- A method of outlier detection in re-gression is proposed making use of the character of structure risk function and KT condition in support vector regression in this paper.
- Primary research results show that such data mining methods as clustering, classification, association, time-series analysis and outlier analysis are feasible in the FDD of LRE.
