Contaminated Site Clean-Up Information (CLU-IN): Internet Seminar Audio Archives

Since 1998, The Contaminated Site Clean-Up Information (CLU-IN) website has presented Internet Seminars covering a wide variety of technical topics related to hazardous waste characterization, monitoring, and remediation. For each seminar topic, we have selected the highest-quality offering for placement in our archives. Beginning in May 2005, we began offering these archives via podcast, and this feed contains all seminars archived in the last 6 months. For a complete list of seminars archived since 2000 and videos of selected seminars archived since 2012, please visit http://clu-in.org/live/archive/. Our Rehabilitation Act Notice for reasonable accommodation is available at http://clu-in.org/training/accommodation.cfm. CLU-IN was developed by the U.S. Environmental Protection Agency (EPA) but is intended as a forum for all waste remediation stakeholders. For more information and to view upcoming live offerings, please visit http://clu-in.org/live/. For a complete list of RSS feeds available on CLU-IN, please visit http://clu-in.org/rss/about/.

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Audio for "ProUCL Utilization 2020: Part 2: Trend Analysis," Feb 10, 2020


ProUCL version 5.1.002 (5.1) is the latest update of the ProUCL statistical software package for analysis of environmental data sets with and without nondetect (ND) observations. The ProUCL software is available at https://www.epa.gov/land-research/proucl-software. This second installment of the three part ProUCL e-learning seminars will be presenting live interactive use of ProUCL v5.1 focussing specifically on the finer points of regression and trend analysis within the ProUCL software. General discussion points will includeData ManagementOLS RegressionMann-Kendall Trend TestTheil-Sen Line TestTime Series AnalysisA ProUCL provided trend dataset (XLS), trend dataset with additional variables (XLS), and dataset to show time series plots with grouping variable (XLS) will be used as an example throughout the presentation. This datasets are provided here and it is encouraged for attendees to follow along on their local machine. To view this archive online or download the slides associated with this seminar, please visit http://www.clu-in.org/conf/tio/ProUCLAtoZ2_021020/


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