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ProUCL 5.2.00 is now available to download from the EPA ProUCL Web page . For more information about the ProUCL software, please visit the EPA ProUCL Web page at www.epa.gov/proucl/ . ProUCL 5.2.00 is also available from the
ProUCL includes a number of features to allow users to directly perform analyses of environmental data. These include but are not limited to: statistical analyses including the analysis of contingency tables, logistic regression, and the analysis of variance and their confidence intervals; graphical methods; and techniques for the determination of LOA's for environmental data sets. ProUCL's graphical methods include but are not limited to: the probit regression line and the logit regression line; 2-dimensional and 3-dimensional scatter plots; and the data summary table. For data sets with no ND values, ProUCL includes a number of options for assessing the adequacy of the data and for identifying the type of data set (see the Technical Guide and the Users Guide for a more detailed discussion of the methods). These include but are not limited to: methods for detecting outliers; the Royston's method for detecting influential values; and graphical methods for the identification of outliers. For data sets with ND values, ProUCL includes a number of options for determining what values should be treated as ND in the data set and ProUCL offers a number of options for determining the UCL's for such ND values. These options include but are not limited to: the use of the Maximum Value Probability (MVP) for determining the UCL's for ND values; the use of the Shared Probability (SP) and the Relative Probability (RPRO) for determining the UCL's for ND values; and the use of the Shared Maximum Probability (SMP) and the Relative Maximum Probability (RMP) for determining the UCL's for ND values.
Download and read pdf EPUB KINDLE The Confidence Code: The Science and Art of Self-Assurance---What Women Should Know here without looking the full-screen view, the individual statistics, the table of contents or table of contents You can download and read The Confidence Code: The Science and Art of Self-Assurance---What Women Should Know online pdf EPUB without registration.'
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