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Kendall-Theil Robust Line - A Visual Basic Program for Calculating and Graphing Robust Nonparametric Estimates of Linear-Regression Coefficients Between Two Continuous Variables (Paperback) Loot Price: R414
Discovery Miles 4 140
Kendall-Theil Robust Line - A Visual Basic Program for Calculating and Graphing Robust Nonparametric Estimates of...

Kendall-Theil Robust Line - A Visual Basic Program for Calculating and Graphing Robust Nonparametric Estimates of Linear-Regression Coefficients Between Two Continuous Variables (Paperback)

United States Geological Survey (Usgs)

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Loot Price R414 Discovery Miles 4 140

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The Kendall-Theil Robust Line software (KTRLine-version 1.0) is a Visual Basic program that may be used with the Microsoft Windows operating system to calculate parameters for robust, nonparametric estimates of linear-regression coefficients between two continuous variables. The KTRLine software was developed by the U.S. Geological Survey, in cooperation with the Federal Highway Administration, for use in stochastic data modeling with local, regional, and national hydrologic data sets to develop planning-level estimates of potential effects of highway runoff on the quality of receiving waters. The Kendall-Theil robust line was selected because this robust nonparametric method is resistant to the effects of outliers and nonnormality in residuals that commonly characterize hydrologic data sets. The slope of the line is calculated as the median of all possible pairwise slopes between points. The intercept is calculated so that the line will run through the median of input data. A single-line model or a multisegment model may be specified. The program was developed to provide regression equations with an error component for stochastic data generation because nonparametric multisegment regression tools are not available with the software that is commonly used to develop regression models. The Kendall-Theil robust line is a median line and, therefore, may underestimate total mass, volume, or loads unless the error component or a bias correction factor is incorporated into the estimate. Regression statistics such as the median error, the median absolute deviation, the prediction error sum of squares, the root mean square error, the confidence interval for the slope, and the bias correction factor for median estimates are calculated by use of nonparametric methods. These statistics, however, may be used to formulate estimates of mass, volume, or total loads. The program is used to read a two- or three-column tab-delimited input file with variable names in the first row and

General

Imprint: Bibliogov
Country of origin: United States
Release date: July 2012
First published: July 2012
Creators: United States Geological Survey (Usgs)
Dimensions: 246 x 189 x 2mm (L x W x T)
Format: Paperback - Trade
Pages: 40
ISBN-13: 978-1-249-18861-2
Categories: Books > Social sciences > Politics & government > General
LSN: 1-249-18861-X
Barcode: 9781249188612

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