<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>STA3109 | Gyumin Lee</title><link>https://gyumin-lee68.github.io/tags/sta3109/</link><atom:link href="https://gyumin-lee68.github.io/tags/sta3109/index.xml" rel="self" type="application/rss+xml"/><description>STA3109</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sun, 01 Sep 2024 00:00:00 +0000</lastBuildDate><image><url>https://gyumin-lee68.github.io/media/icon_hu7729264130191091259.png</url><title>STA3109</title><link>https://gyumin-lee68.github.io/tags/sta3109/</link></image><item><title>Mathematical Statistics II</title><link>https://gyumin-lee68.github.io/teaching/24f_math_stat_2/</link><pubDate>Sun, 01 Sep 2024 00:00:00 +0000</pubDate><guid>https://gyumin-lee68.github.io/teaching/24f_math_stat_2/</guid><description>&lt;p>Instructor: Professor Ilmun Kim (Dept. of Applied Statistics, Yonsei University)&lt;/p>
&lt;p>Textbook: &amp;ldquo;Introduction to Mathematical Statistics&amp;rdquo; by Robert V. Hogg&lt;/p>
&lt;p>Topics: Statistical inference including maximum likelihood function, sufficiency, optimal tests of hypotheses.&lt;/p>
&lt;p>Assessment: Online/Offline class attendance (20%) + Exam 1 (20%) + Exam 2 (20%) + Exam 3 (20%)+ Exam 4 (20%)&lt;/p>
&lt;p>For Students: Please regularly check the Announcements section on the LearnUS course page. It contains important updates and information relevant to the course.&lt;/p>
&lt;p>If you encounter any issues or have further questions, feel free to email me. I will respond as soon as possible.&lt;/p></description></item><item><title>Mathematical Statistics II</title><link>https://gyumin-lee68.github.io/teaching/24s_math_stat_2/</link><pubDate>Sat, 02 Mar 2024 00:00:00 +0000</pubDate><guid>https://gyumin-lee68.github.io/teaching/24s_math_stat_2/</guid><description>&lt;p>Instructor: Professor Ilmun Kim (Dept. of Applied Statistics, Yonsei University)&lt;/p>
&lt;p>Textbook: &amp;ldquo;Introduction to Mathematical Statistics&amp;rdquo; by Robert V. Hogg&lt;/p>
&lt;p>Topics: Statistical inference including maximum likelihood function, sufficiency, optimal tests of hypotheses.&lt;/p>
&lt;p>Assessment: Online/Offline class attendance (20%) + Exam 1 (20%) + Exam 2 (20%) + Exam 3 (20%)+ Exam 4 (20%)&lt;/p>
&lt;p>For Students: Please regularly check the Announcements section on the LearnUS course page. It contains important updates and information relevant to the course.&lt;/p>
&lt;p>If you encounter any issues or have further questions, feel free to email me. I will respond as soon as possible.&lt;/p></description></item><item><title>Mathematical Statistics II</title><link>https://gyumin-lee68.github.io/teaching/23f_math_stat_2/</link><pubDate>Fri, 01 Sep 2023 00:00:00 +0000</pubDate><guid>https://gyumin-lee68.github.io/teaching/23f_math_stat_2/</guid><description>&lt;p>Instructor: Professor Ilmun Kim (Dept. of Applied Statistics, Yonsei University)&lt;/p>
&lt;p>Textbook: &amp;ldquo;Introduction to Mathematical Statistics&amp;rdquo; by Robert V. Hogg&lt;/p>
&lt;p>Topics: Statistical inference including maximum likelihood function, sufficiency, optimal tests of hypotheses.&lt;/p>
&lt;p>Assessment: Online/Offline class attendance (20%) + Exam 1 (20%) + Exam 2 (20%) + Exam 3 (20%)+ Exam 4 (20%)&lt;/p>
&lt;p>For Students: Please regularly check the Announcements section on the LearnUS course page. It contains important updates and information relevant to the course.&lt;/p>
&lt;p>If you encounter any issues or have further questions, feel free to email me. I will respond as soon as possible.&lt;/p></description></item><item><title>Mathematical Statistics II</title><link>https://gyumin-lee68.github.io/teaching/23s_math_stat_2/</link><pubDate>Thu, 02 Mar 2023 00:00:00 +0000</pubDate><guid>https://gyumin-lee68.github.io/teaching/23s_math_stat_2/</guid><description>&lt;p>Instructor: Professor Ilmun Kim (Dept. of Applied Statistics, Yonsei University)&lt;/p>
&lt;p>Textbook: &amp;ldquo;Introduction to Mathematical Statistics&amp;rdquo; by Robert V. Hogg&lt;/p>
&lt;p>Topics: Statistical inference including maximum likelihood function, sufficiency, optimal tests of hypotheses.&lt;/p>
&lt;p>Assessment: Online/Offline class attendance (20%) + Exam 1 (20%) + Exam 2 (20%) + Exam 3 (20%)+ Exam 4 (20%)&lt;/p>
&lt;p>For Students: Please regularly check the Announcements section on the LearnUS course page. It contains important updates and information relevant to the course.&lt;/p>
&lt;p>If you encounter any issues or have further questions, feel free to email me. I will respond as soon as possible.&lt;/p></description></item></channel></rss>