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Appendix a : Adapted Regression on Order Statistics Methodology

By Environmental Protection Agency

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Book Id: WPLBN0000021225
Format Type: PDF eBook
File Size: 5.3 MB
Reproduction Date: 2007
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Title: Appendix a : Adapted Regression on Order Statistics Methodology  
Author: Environmental Protection Agency
Language: English
Subject: Ecology, Natural resource issues, Environemtal protection
Collections: Environmental Awareness Library Collection
Publication Date:
Publisher: United States Environmental Protection Agency


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Agency, E. P. (n.d.). Appendix a : Adapted Regression on Order Statistics Methodology. Retrieved from

Excerpt: The method used to fit a censored lognormal distribution and to fill in the censored observations (i.e., values below the instrument reporting limit) was an adaptation and revision of the Regression on Order Statistics (ROS) method as applied in Helsel and Cohn (1988)20 based on the work in Gilliom and Helsel (1986).21 The difference between this adapted ROS, and the ROS developed by Helsel and Cohn, is described below. The object is to estimate means and variances for systems where large portions of the data sampled (samples or POE, depending on the data on which the adapted ROS is used) are known to be below some value (e.g. a reporting limit or detection limit). This is carried out by imposing a broad ordering on the data and plotting the complement of an empirical cumulative distribution on log coordinates so that standard regression techniques can be applied to the graph.

Table of Contents
Contents of GRAND The CONTENTS Procedure Data Set Name: FINAL.GRAND Observations: 131383 Member Type: DATA Variables: 15 Engine: V8 Indexes: 0 Created: 11:18 Friday, December 22, 2000 Observation Length: 144 Last Modified: 11:18 Friday, December 22, 2000 Deleted Observations:0 Protection: Compressed: NO Data Set Type: Sorted: YES Label: -----Engine/Host Dependent Information----- Data Set Page Size: 12288 Number of Data Set Pages: 1546 First Data Page: 1 Max Obs per Page: 85 Obs in First Data Page: 65 Number of Data Set Repairs: 0 File Name: grand.sas7bdat Release Created: 8.0000M0 Host Created: WIN_95


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