Seminars feedhttp://www.stats.umanitoba.ca/seminars/en-usFri, 21 Sep 2018 16:55:22 +0000Mohammad Jafari Jozani - Quantile Regression with Nominated Samples: An example in Osteoporosis Analysishttp://www.stats.umanitoba.ca/seminars/2018/9/27/mohammad-jafari-jozani-quantile-regression-with-nominated-samples-an-example-in-osteoporosis-analysis/Statistics seminar:<br> Mohammad Jafari Jozani (University of Manitoba)<br> &ldquo;Quantile Regression with Nominated Samples: An example in Osteoporosis Analysis&rdquo;<br> Thursday, September 27, 2018 at 2:45 p.m.<br> P230 Duff Roblin<br> <br> <p>In this talk, we study quantile regression analysis with maxima or minima nomination sampling designs. These designs are often used to obtain more representative samples from the tails of the underlying distribution using the easy to access rank information during the sampling process. We propose new loss functions to incorporate the rank information of nominated samples in the estimation process. Also, we provide an alternative approach that translates estimation problems with nominated samples to corresponding problems under simple random sampling (SRS). Strategies are given to choose proper nomination sampling designs for a given population quantile. Numerical studies show that quantile regression models with maxima (or minima) nominated samples have higher relative efficiencies compared with their counterparts under SRS for analyzing the upper (or lower) tail quantiles of the distribution of the response variable. Results are then implemented on a large cohort study in the Canadian province of Manitoba to analyze quantiles of bone mineral density using available covariates. We show that in some cases, methods based on nomination sampling designs require about oneā€tenth of the sample used in SRS to estimate the lower or upper tail conditional quantiles with comparable mean squared errors. This is a dramatic reduction in time and cost compared with the usual SRS approach.</p> <p>This is a work in collaboration with Ayilara Olawale and Bill Leslie.</p> Fri, 21 Sep 2018 16:54:51 +0000http://www.stats.umanitoba.ca/seminars/2018/9/27/mohammad-jafari-jozani-quantile-regression-with-nominated-samples-an-example-in-osteoporosis-analysis/Yuliya Martsynyuk - TBAhttp://www.stats.umanitoba.ca/seminars/Statistics seminar:<br> Yuliya Martsynyuk (University of Manitoba)<br> &ldquo;&rdquo;<br> Thursday, October 4, 2018 at 2:45 p.m.<br> P230 Duff Roblin<br> <br> Fri, 21 Sep 2018 16:55:22 +0000http://www.stats.umanitoba.ca/seminars/Darja Barr - Evidence Driven Best Practices for Teaching the Mathematical Scienceshttp://www.stats.umanitoba.ca/seminars/2018/10/11/darja-barr-evidence-driven-best-practices-for-teaching-the-mathematical-sciences/Statistics seminar:<br> Darja Barr (Department of Statistics, University of Manitoba)<br> &ldquo;Evidence Driven Best Practices for Teaching the Mathematical Sciences&rdquo;<br> Thursday, October 11, 2018 at 2:45 p.m.<br> P230 Duff Roblin<br> <br> <p>This talk will share information about best practices for teaching the mathematical sciences based on evidence-driven research, as well as debunk some myths and commonly held misconceptions about how our students learn. These topics will also be discussed in the context of training graduate students to become teaching assistants and instructors of the mathematical sciences.</p> Fri, 21 Sep 2018 16:55:12 +0000http://www.stats.umanitoba.ca/seminars/2018/10/11/darja-barr-evidence-driven-best-practices-for-teaching-the-mathematical-sciences/