Call Us 080-41656200 (Mon-Sat: 10AM-8PM)
Free Shipping above Rs. 1499
Cash On Delivery*

Outlier Detection Methods

 

Marketed By :  LAP LAMBERT Academic Publishing   Sold By :  Kamal Books International  
Delivery in :  10-12 Business Days

 

Check Your Delivery Options

 
Rs. 4,396

Availability: In stock

 
  • Product Description
 

Outlier, abnormal or unusual observation can be defined as an observation that lies outside the overall pattern of a distribution. Diagnostic methods for identifying a single outlier or influential observation in a linear regression model are relatively simple from both analytical and computational points of view. However, if the data set contains more than one outlier, which is likely to be the case in most data sets, the problem of identifying such observations becomes more difficult because of the masking and swamping effects. A GA was allowed simultaneous detection of outliers in data sets. Thus, this method is to overcome the problems of masking and swamping effects. It is derived additional penalized value of information criteria for Akaike Information Criterion (AIC) and Information Complexity Criterion (ICOMP) and named as AIC'' and ICOMP'' respectively in this study. The numerical example and simulation results clearly show a much improved performance of the proposed approach in comparison to existing method especially followed by applying the ICOMP'' approach in order to accurately (robustly) detect the outliers.

Product Specifications
SKU :COC48516
AuthorDr. Özlem GÜRÜNLÜ ALMA
LanguageEnglish
BindingPaperback
Number of Pages156
Publishing Year2010-03-04T00:00:00.000
ISBN978-3838318479
Edition1 st
Book TypeStochastics
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-04-08 00:00:00
0 Review(s)