際際滷shows by User: MSTomlinson / http://www.slideshare.net/images/logo.gif 際際滷shows by User: MSTomlinson / Tue, 13 Sep 2016 18:29:05 GMT 際際滷Share feed for 際際滷shows by User: MSTomlinson Tomlinson et al (2016) - sediment & biota /slideshow/tomlinson-et-al-2016-sediment-biota/65987522 acbe4ba4-446e-4994-8a13-7656fac800dd-160913182905
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]]> Tue, 13 Sep 2016 18:29:05 GMT /slideshow/tomlinson-et-al-2016-sediment-biota/65987522 MSTomlinson@slideshare.net(MSTomlinson) Tomlinson et al (2016) - sediment & biota MSTomlinson <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/acbe4ba4-446e-4994-8a13-7656fac800dd-160913182905-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Tomlinson et al (2016) - sediment & biota from MSTomlinson
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]]> Sat, 04 Jul 2015 17:39:03 GMT /slideshow/oceanography-in-the-private-sector-m-tomlinson/50166677 MSTomlinson@slideshare.net(MSTomlinson) Oceanography in the Private Sector (M Tomlinson) MSTomlinson <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/d69515f2-6a74-45e7-b6c8-53b84465aeac-150704173903-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Oceanography in the Private Sector (M Tomlinson) from MSTomlinson
]]> 366 5 https://cdn.slidesharecdn.com/ss_thumbnails/d69515f2-6a74-45e7-b6c8-53b84465aeac-150704173903-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 MST_ProjExpSumm (as of 2014) /MSTomlinson/mstprojexpsumm-as-of-2014 cf170bdd-6eba-4f4d-84a9-facde746ae14-150423114443-conversion-gate02
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]]> Thu, 23 Apr 2015 11:44:43 GMT /MSTomlinson/mstprojexpsumm-as-of-2014 MSTomlinson@slideshare.net(MSTomlinson) MST_ProjExpSumm (as of 2014) MSTomlinson <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cf170bdd-6eba-4f4d-84a9-facde746ae14-150423114443-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
MST_ProjExpSumm (as of 2014) from MSTomlinson
]]> 231 3 https://cdn.slidesharecdn.com/ss_thumbnails/cf170bdd-6eba-4f4d-84a9-facde746ae14-150423114443-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 MST Project Management List (2014) /slideshow/mst-project-management-list-2014/47340652 13a3e10e-af3a-44ff-b461-a8fe570b99e8-150423114336-conversion-gate02
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]]> Thu, 23 Apr 2015 11:43:36 GMT /slideshow/mst-project-management-list-2014/47340652 MSTomlinson@slideshare.net(MSTomlinson) MST Project Management List (2014) MSTomlinson <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/13a3e10e-af3a-44ff-b461-a8fe570b99e8-150423114336-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
MST Project Management List (2014) from MSTomlinson
]]> 175 1 https://cdn.slidesharecdn.com/ss_thumbnails/13a3e10e-af3a-44ff-b461-a8fe570b99e8-150423114336-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds document 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Monitoring in the Ahupuaa-s /MSTomlinson/monitoring-in-the-ahupuaas 756f93d8-2947-49e9-9b3d-948a359002b1-150418164237-conversion-gate02
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]]> Sat, 18 Apr 2015 16:42:37 GMT /MSTomlinson/monitoring-in-the-ahupuaas MSTomlinson@slideshare.net(MSTomlinson) Monitoring in the Ahupuaa-s MSTomlinson <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/756f93d8-2947-49e9-9b3d-948a359002b1-150418164237-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Monitoring in the Ahupuaa-s from MSTomlinson
]]> 276 1 https://cdn.slidesharecdn.com/ss_thumbnails/756f93d8-2947-49e9-9b3d-948a359002b1-150418164237-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Oahu Soil & Sediment As /slideshow/oahu-soil-sediment-as/47150226 6135159d-c5d2-48dd-b52e-d95bf74f3589-150418162249-conversion-gate02
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]]> Sat, 18 Apr 2015 16:22:49 GMT /slideshow/oahu-soil-sediment-as/47150226 MSTomlinson@slideshare.net(MSTomlinson) Oahu Soil & Sediment As MSTomlinson <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/6135159d-c5d2-48dd-b52e-d95bf74f3589-150418162249-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Oahu Soil & Sediment As from MSTomlinson
]]> 797 1 https://cdn.slidesharecdn.com/ss_thumbnails/6135159d-c5d2-48dd-b52e-d95bf74f3589-150418162249-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 PacIOOS WQB Data QC /slideshow/pacioos-wqb-data-qc/47150185 00aab6bf-c807-4085-a2a7-2fad86020901-150418161954-conversion-gate02
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]]> Sat, 18 Apr 2015 16:19:54 GMT /slideshow/pacioos-wqb-data-qc/47150185 MSTomlinson@slideshare.net(MSTomlinson) PacIOOS WQB Data QC MSTomlinson <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/00aab6bf-c807-4085-a2a7-2fad86020901-150418161954-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
PacIOOS WQB Data QC from MSTomlinson
]]> 587 3 https://cdn.slidesharecdn.com/ss_thumbnails/00aab6bf-c807-4085-a2a7-2fad86020901-150418161954-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 MS Tomlinson Defense /slideshow/ms-tomlinson-defense/47150025 33163890-b322-490c-bc4c-3dac96314974-150418160646-conversion-gate01
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]]> Sat, 18 Apr 2015 16:06:46 GMT /slideshow/ms-tomlinson-defense/47150025 MSTomlinson@slideshare.net(MSTomlinson) MS Tomlinson Defense MSTomlinson <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/33163890-b322-490c-bc4c-3dac96314974-150418160646-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
MS Tomlinson Defense from MSTomlinson
]]> 431 4 https://cdn.slidesharecdn.com/ss_thumbnails/33163890-b322-490c-bc4c-3dac96314974-150418160646-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 MS Tomlinson Thesis 2004-s /slideshow/ms-tomlinson-thesis-2004s/47149958 27428a6a-c469-4131-a873-e799c1c4151d-150418155946-conversion-gate02
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]]> Sat, 18 Apr 2015 15:59:46 GMT /slideshow/ms-tomlinson-thesis-2004s/47149958 MSTomlinson@slideshare.net(MSTomlinson) MS Tomlinson Thesis 2004-s MSTomlinson <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/27428a6a-c469-4131-a873-e799c1c4151d-150418155946-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
MS Tomlinson Thesis 2004-s from MSTomlinson
]]> 444 5 https://cdn.slidesharecdn.com/ss_thumbnails/27428a6a-c469-4131-a873-e799c1c4151d-150418155946-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds document 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Statistical Analysis of Left-Censored Geochemical Data /slideshow/statistical-analysis-of-leftcensored-geochemical-data/40132413 geostatisticsforleft-censoreddata-141010192823-conversion-gate02
Geochemical datasets frequently contain left-censored data, i.e., the actual concentration falls in the range between 0 and the detection limit (DL). These data are referred to as nondetects (NDs). An ND does not necessarily mean the analyte was not present but, if it was present, it was at a concentration below the DL. In addition to NDs, contract labs often report estimated values (often flagged with a J) which lie between the DL and the reporting limit (RL). The RL is the level at or above which the lab will state the result is quantitative. A common approach to statistically analyzing left-censored data is to use substitution (e.g., 遜DL). Although still a common practice, substitution can introduce bias to statistical analyses. Fortunately, there are a number of statistical techniques specifically designed to handle left-censored data that do not compromise the results of statistical analyses by using substitution. All of these techniques work with NDs and some work with estimated data. There are a number of techniques for calculating summary statistics for left-censored data including nonparametric Kaplan-Meier survival statistics, regression on order statistics (ROS), and the Turnbull interval-censored method. As the name implies, the Turnbull method works with interval censored data (i.e., quantitative data RL, DL-RL [estimated], and 0-DL). In the latter two cases, an interval is used, i.e., the true value lies somewhere within the interval but picking a single value such as 遜DL is not required. Interval-censored data can also be used on multivariate ordination techniques such as nonmetric multidimensional scaling (NMDS) and the interval-censored score test an analog of the generalized Wilcoxon test. Kendalls tau () is a nonparametric correlation analysis that can be applied to left-censored data. For this test, the estimated (J-flagged) values are used. Kendalls is analogous to the familiar parametric Pearsons r and, like Pearsons r, the test for Kendalls also provides a measure of the correlation significance. The case study for this presentation will include the geochemical data and statistical results from the Hawai併i Ordnance Reef Follow-Up investigation of the U.S. Armys Remotely Operated Underwater Munitions Recovery System.]]>
Geochemical datasets frequently contain left-censored data, i.e., the actual concentration falls in the range between 0 and the detection limit (DL). These data are referred to as nondetects (NDs). An ND does not necessarily mean the analyte was not present but, if it was present, it was at a concentration below the DL. In addition to NDs, contract labs often report estimated values (often flagged with a J) which lie between the DL and the reporting limit (RL). The RL is the level at or above which the lab will state the result is quantitative. A common approach to statistically analyzing left-censored data is to use substitution (e.g., 遜DL). Although still a common practice, substitution can introduce bias to statistical analyses. Fortunately, there are a number of statistical techniques specifically designed to handle left-censored data that do not compromise the results of statistical analyses by using substitution. All of these techniques work with NDs and some work with estimated data. There are a number of techniques for calculating summary statistics for left-censored data including nonparametric Kaplan-Meier survival statistics, regression on order statistics (ROS), and the Turnbull interval-censored method. As the name implies, the Turnbull method works with interval censored data (i.e., quantitative data RL, DL-RL [estimated], and 0-DL). In the latter two cases, an interval is used, i.e., the true value lies somewhere within the interval but picking a single value such as 遜DL is not required. Interval-censored data can also be used on multivariate ordination techniques such as nonmetric multidimensional scaling (NMDS) and the interval-censored score test an analog of the generalized Wilcoxon test. Kendalls tau () is a nonparametric correlation analysis that can be applied to left-censored data. For this test, the estimated (J-flagged) values are used. Kendalls is analogous to the familiar parametric Pearsons r and, like Pearsons r, the test for Kendalls also provides a measure of the correlation significance. The case study for this presentation will include the geochemical data and statistical results from the Hawai併i Ordnance Reef Follow-Up investigation of the U.S. Armys Remotely Operated Underwater Munitions Recovery System.]]> Fri, 10 Oct 2014 19:28:23 GMT /slideshow/statistical-analysis-of-leftcensored-geochemical-data/40132413 MSTomlinson@slideshare.net(MSTomlinson) Statistical Analysis of Left-Censored Geochemical Data MSTomlinson Geochemical datasets frequently contain left-censored data, i.e., the actual concentration falls in the range between 0 and the detection limit (DL). These data are referred to as nondetects (NDs). An ND does not necessarily mean the analyte was not present but, if it was present, it was at a concentration below the DL. In addition to NDs, contract labs often report estimated values (often flagged with a J) which lie between the DL and the reporting limit (RL). The RL is the level at or above which the lab will state the result is quantitative. A common approach to statistically analyzing left-censored data is to use substitution (e.g., 遜DL). Although still a common practice, substitution can introduce bias to statistical analyses. Fortunately, there are a number of statistical techniques specifically designed to handle left-censored data that do not compromise the results of statistical analyses by using substitution. All of these techniques work with NDs and some work with estimated data. There are a number of techniques for calculating summary statistics for left-censored data including nonparametric Kaplan-Meier survival statistics, regression on order statistics (ROS), and the Turnbull interval-censored method. As the name implies, the Turnbull method works with interval censored data (i.e., quantitative data RL, DL-RL [estimated], and 0-DL). In the latter two cases, an interval is used, i.e., the true value lies somewhere within the interval but picking a single value such as 遜DL is not required. Interval-censored data can also be used on multivariate ordination techniques such as nonmetric multidimensional scaling (NMDS) and the interval-censored score test an analog of the generalized Wilcoxon test. Kendalls tau () is a nonparametric correlation analysis that can be applied to left-censored data. For this test, the estimated (J-flagged) values are used. Kendalls is analogous to the familiar parametric Pearsons r and, like Pearsons r, the test for Kendalls also provides a measure of the correlation significance. The case study for this presentation will include the geochemical data and statistical results from the Hawai併i Ordnance Reef Follow-Up investigation of the U.S. Armys Remotely Operated Underwater Munitions Recovery System. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/geostatisticsforleft-censoreddata-141010192823-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Geochemical datasets frequently contain left-censored data, i.e., the actual concentration falls in the range between 0 and the detection limit (DL). These data are referred to as nondetects (NDs). An ND does not necessarily mean the analyte was not present but, if it was present, it was at a concentration below the DL. In addition to NDs, contract labs often report estimated values (often flagged with a J) which lie between the DL and the reporting limit (RL). The RL is the level at or above which the lab will state the result is quantitative. A common approach to statistically analyzing left-censored data is to use substitution (e.g., 遜DL). Although still a common practice, substitution can introduce bias to statistical analyses. Fortunately, there are a number of statistical techniques specifically designed to handle left-censored data that do not compromise the results of statistical analyses by using substitution. All of these techniques work with NDs and some work with estimated data. There are a number of techniques for calculating summary statistics for left-censored data including nonparametric Kaplan-Meier survival statistics, regression on order statistics (ROS), and the Turnbull interval-censored method. As the name implies, the Turnbull method works with interval censored data (i.e., quantitative data RL, DL-RL [estimated], and 0-DL). In the latter two cases, an interval is used, i.e., the true value lies somewhere within the interval but picking a single value such as 遜DL is not required. Interval-censored data can also be used on multivariate ordination techniques such as nonmetric multidimensional scaling (NMDS) and the interval-censored score test an analog of the generalized Wilcoxon test. Kendalls tau () is a nonparametric correlation analysis that can be applied to left-censored data. For this test, the estimated (J-flagged) values are used. Kendalls is analogous to the familiar parametric Pearsons r and, like Pearsons r, the test for Kendalls also provides a measure of the correlation significance. The case study for this presentation will include the geochemical data and statistical results from the Hawai併i Ordnance Reef Follow-Up investigation of the U.S. Armys Remotely Operated Underwater Munitions Recovery System.
Statistical Analysis of Left-Censored Geochemical Data from MSTomlinson
]]> 1025 4 https://cdn.slidesharecdn.com/ss_thumbnails/geostatisticsforleft-censoreddata-141010192823-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/acbe4ba4-446e-4994-8a13-7656fac800dd-160913182905-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/tomlinson-et-al-2016-sediment-biota/65987522 Tomlinson et al (2016)... https://cdn.slidesharecdn.com/ss_thumbnails/d69515f2-6a74-45e7-b6c8-53b84465aeac-150704173903-lva1-app6891-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/oceanography-in-the-private-sector-m-tomlinson/50166677 Oceanography in the Pr... https://cdn.slidesharecdn.com/ss_thumbnails/cf170bdd-6eba-4f4d-84a9-facde746ae14-150423114443-conversion-gate02-thumbnail.jpg?width=320&height=320&fit=bounds MSTomlinson/mstprojexpsumm-as-of-2014 MST_ProjExpSumm (as of...