Multiple Outlier Detection: Hypothesis Tests versus Model Selection by Information Criteria-Reference-Cited by-同舟云学术

Multiple Outlier Detection: Hypothesis Tests versus Model Selection by Information Criteria

Published:2016-11 Issue:4 Volume:142 Page:04016017
ISSN:0733-9453
Container-title:Journal of Surveying Engineering
language:en
Short-container-title:J. Surv. Eng.

Author:

Lehmann Rüdiger¹,Lösler Michael²

Affiliation:

1. Lecturer, Faculty of Spatial Information, Univ. of Applied Sciences Dresden, Friedrich-List-Platz 1, Dresden D-01069, Germany (corresponding author).

2. Scientific Coworker, Faculty of Architecture, Civil Engineering and Geomatics, Laboratory for Industrial Metrology, Frankfurt Univ. of Applied Sciences, Nibelungenplatz 1, Frankfurt am Main D-60318, Germany.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29SU.1943-5428.0000189

Reference43 articles.

1. A new look at the statistical model identification

2. A Robust and Diagnostic Information Criterion for Selecting Regression Models

3. Nonexistence of Rigorous Tests for Multiple Outlier Detection in Least-Squares Adjustment

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