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Outlier Methods external 100%

One of the more widely accepted interpretations on outliers comes from Barnett and Lewis [1] , which defines outlier as “an observation (or subset of observations) which appears to be inconsistent with the remainder of that set of data”.

https://www.pdf-archive.com/2016/07/29/outlier-methods-external/

29/07/2016 www.pdf-archive.com

Exploratory Analysis 89%

KEEP Fly #3 is the biggest outlier, with one normal wing and one that is tiny even compared to other outliers.

https://www.pdf-archive.com/2015/08/28/exploratory-analysis/

28/08/2015 www.pdf-archive.com

SFRAPStatsProject 88%

AP Statistics Correlation Project Questions:

https://www.pdf-archive.com/2016/10/12/sfrapstatsproject/

12/10/2016 www.pdf-archive.com

OpenE 87%

Open E Tuning - Positional Chords Cheat Sheet Scale Degree Inversion Shape 4th String Bass Fret in G 1st position I ii iii IV V vi vii Inversion Shape 4th String Bass Fret in G 2nd position R R 2nd 2nd 1st 1st R 3rd 5th 2nd 3rd 2nd 3rd 2nd 2nd 1st 1st R R R 2nd 10th 8th 10th 8th 10th 12th 8th 5th position I ii iii IV V vi vii Scale Degree I ii iii IV V vi vii Inversion Shape 4th String Bass Fret in G 3rd position R R R 2nd 2nd 1st 1st 3rd 5th 7th 3rd 5th 3rd 5th 2nd 2nd 1st 1st R R R 10th 12th 10th 12th 10th 12th 14th 6th position I ii iii IV V vi vii Scale Degree I ii iii IV V vi vii Inversion Shape 4th String Bass Fret in G 4th position 1st 1st R R 2nd 2nd 2nd 7th 8th outlier 7th 8th 5th 7th 8th outlier R 2nd 2nd 2nd 1st 1st R 3rd 0th 2nd 3rd outlier 2nd 3rd outlier 2nd 7th position I ii iii IV V vi vii Scale Degree I ii iii IV V vi vii 1st 1st R R R 2nd 2nd 7th 8th 7th 8th 10th 7th 8th

https://www.pdf-archive.com/2017/07/29/opene/

29/07/2017 www.pdf-archive.com

10 81%

We can also note an outlier in the NS scores.

https://www.pdf-archive.com/2014/11/12/10/

12/11/2014 www.pdf-archive.com

1-s2.0-S016786551200339X-main 78%

To yield a more effective description of the change-detection problem, an outlier class is used for the hyperparameter SVDD estimation.

https://www.pdf-archive.com/2014/10/31/1-s2-0-s016786551200339x-main/

31/10/2014 www.pdf-archive.com

Final Report 75%

"Surprise Factor"

https://www.pdf-archive.com/2019/09/13/finalreport/

13/09/2019 www.pdf-archive.com

Desistance Report Final 67%

Youth Desistance in Aotearoa New Zealand:

https://www.pdf-archive.com/2015/09/25/desistance-report-final/

25/09/2015 www.pdf-archive.com

70-Harmi Sugiarti 66%

harmi@ut.ac.id ABSTRAK Adanya penyimpangan terhadap asumsi dasar, khususnya jika terdapat pengamatan pencilan (outlier), penggunaan metode kuadrat terkecil (OLS) dalam menduga selang kepercayaan dapat mengakibatkan berkurangnya ketelitian dalam pendugaan selang bagi koefisien garis regresi.

https://www.pdf-archive.com/2011/12/05/70-harmi-sugiarti/

05/12/2011 www.pdf-archive.com

Psycho- and Neurolinguistics 66%

They stress that UG is “not a compendium of language universals,” but rather a toolkit, and perhaps a set of “‘attractors’ for grammars” which would allow for outlier traits, such as those that Evans and Levinson rely upon for their arguments.

https://www.pdf-archive.com/2016/09/15/psycho-and-neurolinguistics/

15/09/2016 www.pdf-archive.com

Problem-Book-Redacted 65%

5.4 Modelling and outlier detection .

https://www.pdf-archive.com/2016/02/02/problem-book-redacted/

02/02/2016 www.pdf-archive.com

Semantic-Similarity-Using-Google 58%

a) frequent co-occurrence of terms in search patterns, b) computation of the relationship between search patterns, c) outlier coincidence on search patterns, and d) forecasting comparisons.

https://www.pdf-archive.com/2018/05/22/semantic-similarity-using-google/

22/05/2018 www.pdf-archive.com

Portfolio CR 57%

Chiara RAMPINI Paris 75008 Mobile:

https://www.pdf-archive.com/2017/07/25/portfolio-cr/

25/07/2017 www.pdf-archive.com

59-Harmi Sugiarti 56%

Pada dasarnya, metode ini meminimumkan jumlah kuadrat simpangan Y dari nilai harapannya yaitu meminimumkan ε ′ε = (Y − X β )′(Y − X β ) sehingga dengan menyelesaikan persamaan normal X ′X βˆ = X ′Y akan diperoleh penaksir OLS bagi β adalah βˆ = [ X ′X ] X ′Y −1 σˆ 2 = ( ) −1 dengan s 2 βˆ = σˆ 2 [ X ′X ] dan (Y ′Y − βˆ ′X ′Y ) n − p −1 Metode ini membutuhkan beberapa asumsi untuk mendapatkan penaksir parameter yang bersifat tak bias linear terbaik (best linear unbiased estimator, BLUE), diantaranya adalah asumsi tidak ada outlier (pencilan) dalam data (Draper,1992).

https://www.pdf-archive.com/2011/03/16/59-harmi-sugiarti/

16/03/2011 www.pdf-archive.com

Saksham-Singhal-Resume 56%

Saksham Singhal Contact Phone: +1 (412) 636-7043 E-mail:

https://www.pdf-archive.com/2017/08/30/saksham-singhal-resume/

30/08/2017 www.pdf-archive.com

Rapport Data Camp 53%

Figure 2 – 3D LDA The data looks rather coherent, and it doesn’t seems like there is any major outlier in the dataset.

https://www.pdf-archive.com/2018/03/26/rapport-data-camp/

26/03/2018 www.pdf-archive.com

Tapan Desai res 53%

Data Visualization and Outlier detection of Water Quality and TMDL (Total Max Daily Loads) data.

https://www.pdf-archive.com/2017/12/08/tapan-desai-res/

08/12/2017 www.pdf-archive.com