EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Academic Skills
  • Help
  •  My account 
    • Logout
    • Change account settings
  • Login
EconBiz - Find Economic Literature
Publications Events
Search options
Advanced Search history
My EconBiz
Favorites Loans Reservations Fines
    You are here:
  • Home
  • Search: person:"Imon, A. H. M. Rahmatullah"
Narrow search

Narrow search

Year of publication
Subject
All
masking 3 generalized DFFITS 2 group deletion 2 high leverage points 2 swamping 2 DR-DF plot 1 Influential observations 1 Monte Carlo simulation 1 R-F plot 1 deletion residuals 1 diagnostic-robust generalized potentials 1 generalized Cook's distance 1 generalized Studentized Pearson residual 1 generalized weight 1 high leverage point 1 index plot 1 influential observation 1 minimum volume ellipsoid 1 outlier 1 outliers 1 robust Mahalanobis distance 1 robust regression 1 unusual observations 1
more ... less ...
Online availability
All
Undetermined 7
Type of publication
All
Article 7
Language
All
Undetermined 7
Author
All
Imon, A.H.M. Rahmatullah 5 Imon, A. H. M. Rahmatullah 2 Das, Keya Rani 1 Habshah, M. 1 Hadi, Ali S. 1 Nasser, M. 1 Norazan, M. R. 1 Nurunnabi, A. A. M. 1
more ... less ...
Published in...
All
Journal of Applied Statistics 7
Source
All
RePEc 7
Showing 1 - 7 of 7
Cover Image
Geometric median and its application in the identification of multiple outliers
Das, Keya Rani; Imon, A.H.M. Rahmatullah - In: Journal of Applied Statistics 41 (2014) 4, pp. 817-831
Geometric mean (GM) is having growing and wider applications in statistical data analysis as a measure of central tendency. It is generally believed that GM is less sensitive to outliers than the arithmetic mean (AM) but we suspect likewise the AM the GM may also suffer a huge set back in the...
Persistent link: https://www.econbiz.de/10010761376
Saved in:
Cover Image
Identification of multiple high leverage points in logistic regression
Imon, A.H.M. Rahmatullah; Hadi, Ali S. - In: Journal of Applied Statistics 40 (2013) 12, pp. 2601-2616
Leverage values are being used in regression diagnostics as measures of unusual observations in the <italic>X</italic>-space. Detection of high leverage observations or points is crucial due to their responsibility for masking outliers. In linear regression, high leverage points (HLP) are those that stand far...
Persistent link: https://www.econbiz.de/10010976101
Saved in:
Cover Image
Identification of multiple influential observations in logistic regression
Nurunnabi, A. A. M.; Imon, A.H.M. Rahmatullah; Nasser, M. - In: Journal of Applied Statistics 37 (2010) 10, pp. 1605-1624
The identification of influential observations in logistic regression has drawn a great deal of attention in recent years. Most of the available techniques like Cook's distance and difference of fits (DFFITS) are based on single-case deletion. But there is evidence that these techniques suffer...
Persistent link: https://www.econbiz.de/10008674939
Saved in:
Cover Image
The performance of diagnostic-robust generalized potentials for the identification of multiple high leverage points in linear regression
Habshah, M.; Norazan, M. R.; Imon, A.H.M. Rahmatullah - In: Journal of Applied Statistics 36 (2009) 5, pp. 507-520
Leverage values are being used in regression diagnostics as measures of influential observations in the $X$-space. Detection of high leverage values is crucial because of their responsibility for misleading conclusion about the fitting of a regression model, causing multicollinearity problems,...
Persistent link: https://www.econbiz.de/10004966842
Saved in:
Cover Image
Deletion residuals in the detection of heterogeneity of variances in linear regression
Imon, A.H.M. Rahmatullah - In: Journal of Applied Statistics 36 (2009) 3, pp. 347-358
The heterogeneity of error variance often causes a huge interpretive problem in linear regression analysis. Before taking any remedial measures we first need to detect this problem. A large number of diagnostic plots are now available in the literature for detecting heteroscedasticity of error...
Persistent link: https://www.econbiz.de/10004992281
Saved in:
Cover Image
Identifying multiple influential observations in linear regression
Imon, A. H. M. Rahmatullah - In: Journal of Applied Statistics 32 (2005) 9, pp. 929-946
The identification of influential observations has drawn a great deal of attention in regression diagnostics. Most of these identification techniques are based on single case deletion and among them DFFITS has become very popular with the statisticians. But this technique along with all other...
Persistent link: https://www.econbiz.de/10005278903
Saved in:
Cover Image
Residuals from deletion in added variable plots
Imon, A. H. M. Rahmatullah - In: Journal of Applied Statistics 30 (2003) 7, pp. 827-841
An added variable plot is a commonly used plot in regression diagnostics. The rationale for this plot is to provide information about the addition of a further explanatory variable to the model. In addition, an added variable plot is most often used for detecting high leverage points and...
Persistent link: https://www.econbiz.de/10005141287
Saved in:
A service of the
zbw
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...