楼主: ReneeBK
1523 0

Brian Junker Lecture Notes: Hierarchical Linear Models [推广有奖]

  • 1关注
  • 62粉丝

VIP

已卖:4895份资源

学术权威

14%

还不是VIP/贵宾

-

TA的文库  其他...

R资源总汇

Panel Data Analysis

Experimental Design

威望
1
论坛币
49629 个
通用积分
55.4465
学术水平
370 点
热心指数
273 点
信用等级
335 点
经验
57805 点
帖子
4005
精华
21
在线时间
582 小时
注册时间
2005-5-8
最后登录
2023-11-26

楼主
ReneeBK 发表于 2013-12-11 01:53:00 |AI写论文

+2 论坛币
k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群
赵安豆老师微信:zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

感谢您参与论坛问题回答

经管之家送您两个论坛币!

+2 论坛币
36-763: Hierarchical Linear ModelsFall 2013 (Mini II)Instructor:                                Teaching Assistant:Brian Junker, Statistics                Patrick Foley132E Baker Hall                                WEH 8121268-8874                                268-6804brian@stat.cmu.edu                        pfoley@stat.cmu.eduOffice Hours (132E Baker):                Office Hours (WEH 8110):(1) Immed. after class                   (1) 1:00pm Wednesdays(2) By appointment                        (2) By appointmentThis course meets T Th 3:00 - 4:20 in Baker Hall 235AThere is also a blackboard page for this class, but itwill be used mainly for reporting grades and for the discussion board and perhaps some online assignment submissions.  Please do check the bulletin board here regularly.If you use gmail (especially if you forward andrew mail to gmail) PLEASEadd a filter in gmail [under the 'settings' menu] preventing email from stat.cmu.edu from going in your spam folder.  I will occasionally send email from my statistics account, and you need to be able to read and respond to it.Most other materials for the course will be available athttp://www.stat.cmu.edu/~brian/763.Course syllabus
G&H data Data sets and R code from the Gelman & Hill text.
hw00       This is a review assignment that you should complete by the end           of the first week of the class.  No need to turn anything in, but            please do let us know if anything is mystifying or doesn't seem            right, as you work through it.  The exercises are in the file            "R-review.pdf".
week01    hw01 Due Thu 31 Oct, on Blackboard.
week02    hw02 Due Thu 07 Nov, on Blackboard.
week03    hw03 Due Thu 14 Nov, on Blackboard.
week04  
week05    hw04 Due TUESDAY 26 Nov, on Blackboard.
week06    hw05 Due TUESDAY 10 Dec, on Blackboard.
week7
See you in class!-BJ
二维码

扫码加我 拉你入群

请注明:姓名-公司-职位

以便审核进群资格,未注明则拒绝

关键词:Hierarchical Lecture models Linear Linea reporting Teaching course Office

您需要登录后才可以回帖 登录 | 我要注册

本版微信群
加好友,备注jltj
拉您入交流群
GMT+8, 2025-12-6 00:03