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Technometrics Volume 27, 1985 - Issue 4
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Original Articles

A Multistage Procedure for Detecting Several Outliers in Linear Regression

Mervyn G. Marasinghe Department of Statistics and Statistical Laboratory, Iowa State University, Ames, IA, 50011
Pages 395-399 | Published online: 29 Mar 2012

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Ekele Alih & Hong Choon Ong. (2015) Cluster-based multivariate outlier identification and re-weighted regression in linear models. Journal of Applied Statistics 42:5, pages 938-955.
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M. Hakan Satman. (2012) A Genetic Algorithm Based Modification on the LTS Algorithm for Large Data Sets. Communications in Statistics - Simulation and Computation 41:5, pages 644-652.
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Bill Seaver, Konstantinos Triantis & Chip Reeves. (1999) The Identification of Influential Subsets in Regression Using a Fuzzy Clustering Strategy. Technometrics 41:4, pages 340-351.
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Järgen Wellmann & Ursula Gather. (1999) A note on contamination models and outliers. Communications in Statistics - Theory and Methods 28:8, pages 1793-1802.
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M. Mercedes Suárez Rancel & Miguel A. Gonzalez Sierra.. (1999) Measures and procedures for the identification of locally influential observations in linear regression. Communications in Statistics - Theory and Methods 28:2, pages 343-366.
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AliS. Hadi & JeffreyS. Simonoff. (1993) Procedures for the Identification of Multiple Outliers in Linear Models. Journal of the American Statistical Association 88:424, pages 1264-1272.
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. (1992) Letters to the Editor. Technometrics 34:3, pages 373-376.
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S.R. Paul & KarenY. Fung. (1991) A Generalized Extreme Studentized Residual Multiple-Outlier-Detection Procedure in Linear Regression. Technometrics 33:3, pages 339-348.
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Salahuddin & A.G. Hawkes. (1991) Cross-validation in stepwise regression. Communications in Statistics - Theory and Methods 20:4, pages 1163-1182.
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Ali S. Hadi & Mun S. Son. (1990) Some properties of, and relationships among, several uncorrelated and homoscedastic residual vectors. Communications in Statistics - Theory and Methods 19:7, pages 2625-2642.
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Farid Kianifard & William H. Swallow. (1990) A monte carlo comparison of five procedures for identifying outliers in linear regression. Communications in Statistics - Theory and Methods 19:5, pages 1913-1938.
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R.W. SERTH, M.T. WEART & W.A. HEENAN. (1989) ON THE CHOICE OF REGRESSION VARIABLES IN NONLINEAR DATA RECONCILIATION. Chemical Engineering Communications 79:1, pages 141-452.
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BillL. Seaver & KonstantinosP. Triantis. (1989) The Implications of Using Messy Data to Estimate Production-Frontier-Based Technical Efficiency Measures. Journal of Business & Economic Statistics 7:1, pages 49-59.
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W.K. Fung. (1987) Discussion of Marasinghe (1985). Technometrics 29:1, pages 125-125.
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Daniel Peña. 2023. Springer Handbook of Engineering Statistics. Springer Handbook of Engineering Statistics 605 619 .
Sayed S. R. Moustafa, Gad-Elkareem A. Mohamed & Mohamed Metwaly. (2021) Production of a homogeneous seismic catalog based on machine learning for northeast Egypt. Open Geosciences 13:1, pages 1084-1104.
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Han Son Seo & Min Yoon. (2021) Least quantile squares method for the detection of outliers. Communications for Statistical Applications and Methods 28:1, pages 81-88.
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Han Son Seo & Min Yoon. (2016) Robust tests for heteroscedasticity using outlier detection methods. Korean Journal of Applied Statistics 29:3, pages 399-408.
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Sudhir R. Paul. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online.
Han Son Seo, Ji Eun Song & Min Yoon. (2013) An Outlier Detection Method in Penalized Spline Regression Models. Korean Journal of Applied Statistics 26:4, pages 687-696.
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T. A. Cohn, J. F. England, C. E. Berenbrock, R. R. Mason, J. R. Stedinger & J. R. Lamontagne. (2013) A generalized Grubbs‐Beck test statistic for detecting multiple potentially influential low outliers in flood series. Water Resources Research 49:8, pages 5047-5058.
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Han Son Seo & Min Yoon. (2013) Regression diagnostics for response transformations in a partial linear model. Journal of the Korean Data and Information Science Society 24:1, pages 33-39.
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Han-Son Seo & Min Yoon. (2012) Clustering Observations for Detecting Multiple Outliers in Regression Models. Korean Journal of Applied Statistics 25:3, pages 503-512.
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Domenico Perrotta & Francesca Torti. 2012. Advanced Statistical Methods for the Analysis of Large Data-Sets. Advanced Statistical Methods for the Analysis of Large Data-Sets 329 338 .
Nethal K. Jajo. (2005) A Review of Robust Regression and Diagnostic Procedures in Linear Regression. Acta Mathematicae Applicatae Sinica, English Series 21:2, pages 209-224.
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Dayanand N. Naik. 2003. Statistics in Industry. Statistics in Industry 957 993 .
Sudhir R. Paul. 2001. Encyclopedia of Environmetrics. Encyclopedia of Environmetrics.
Daniel Peña & Victor J. Yohai. (1995) The Detection of Influential Subsets in Linear Regression by Using an Influence Matrix. Journal of the Royal Statistical Society Series B: Statistical Methodology 57:1, pages 145-156.
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J. D. JobsonJ. D. Jobson. 1991. Applied Multivariate Data Analysis. Applied Multivariate Data Analysis 219 398 .
Samprit Chatterjee & Ali S. Hadi. 1988. Sensitivity Analysis in Linear Regression. Sensitivity Analysis in Linear Regression 301 307 .

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