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Discerning Environmental Software

7 software items found

Discerning - Version DUMPStat - Groundwater Monitoring Data Analysis Software

Discerning - Version DUMPStat - Groundwater Monitoring Data Analysis Software

by:Discerning Systems Inc.   based inBurnaby, BRITISH COLUMBIA (CANADA)
DUMPStat is a program for the statistical analysis of groundwater monitoring data using methods described in Statistical Methods for Groundwater Monitoring. It guides you through importing your lab data and defining your site and then provides complete analysis of all wells and constituents with a single click; automatically selecting the most appropriate statistics to minimize both false ...
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Discerning - Version CARStat - Compliance Analysis & Remediation Software for Environmental Monitoring

Discerning - Version CARStat - Compliance Analysis & Remediation Software for Environmental Monitoring

by:Discerning Systems Inc.   based inBurnaby, BRITISH COLUMBIA (CANADA)
CARStat is an easy-to-learn statistical analysis system that automatically performs a complete analysis of all sampling locations, groups of locations, and constituents with a single mouse click. It is completely consistent with USEPA Subtitle C and D regulations and all USEPA guidance documents. CARStat performs comparisons to background and to regulatory standards as well as natural attenuation ...
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Discerning - Version DUMPStat Explorer - Hydrogeochemical Data Evaluation Tool

Discerning - Version DUMPStat Explorer - Hydrogeochemical Data Evaluation Tool

by:Discerning Systems Inc.   based inBurnaby, BRITISH COLUMBIA (CANADA)
DUMPStat Explorer is a suite of hydrogeochemical data evaluation tools which can be used on its own or with existing DUMPStat or CARStat databases to explore aqueous chemistry data, investigate chemical signatures and further interpret your statistical ...
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Discerning - Version MIXOR - Programming Software

Discerning - Version MIXOR - Programming Software

by:Discerning Systems Inc.   based inBurnaby, BRITISH COLUMBIA (CANADA)
MIXOR was the first program developed as part of the Mixed-up Suite of applications. MIXOR is a program which provides estimates for a mixed-effects ordinal probit and logistic regression model. This model can be used for analysis of clustered or longitudinal ordinal (and dichotomous) outcome data. For clustered data, the mixed-effects model does not assume that each observation is independent, ...
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Discerning - Version MIXREG - Programming Software

Discerning - Version MIXREG - Programming Software

by:Discerning Systems Inc.   based inBurnaby, BRITISH COLUMBIA (CANADA)
MIXREG is a program that provides estimates for a mixed-effects regression model (MRM) including autocorrelated errors. This model can be used for analyses of unbalanced longitudinal data, where individuals may be measured at different number of timepoints, or even at different timepoints. Autocorrelated errors of a general form or following an AR(1), MA(1), or ARMA(1,1) form are allowable. This ...
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Discerning - Version MIXNO - Nominal Logistic Regression Analysis Software

Discerning - Version MIXNO - Nominal Logistic Regression Analysis Software

by:Discerning Systems Inc.   based inBurnaby, BRITISH COLUMBIA (CANADA)
MIXNO provides maximum marginal likelihood for mixed-effects nominal logistic regression analysis. These models can be used for analysis of correlated nominal response data, for example, data arising from a clustered design. For clustered data, the mixed-effects model assumes that data within clusters are dependent. The degree of dependency is jointly estimated with the usual model parameters, ...
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Discerning - Version MIXPREG - Poisson Regression Analysis Software

Discerning - Version MIXPREG - Poisson Regression Analysis Software

by:Discerning Systems Inc.   based inBurnaby, BRITISH COLUMBIA (CANADA)
MIXPREG provides maximum marginal likelihood estimates for mixed-effects Poisson regression analysis. These models can be used for analysis of correlated count data, for example, data arising from a clustered design. For clustered data, the mixed-effects model assumes that data within clusters are dependent. The degree of dependency is jointly estimated with the usual model parameters, thus ...
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