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文件名:  Glen Meeden.Statistics 5201 Sampling Methodology in Finite Populations.zip
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Statistics5201 Home Page
Statistics 5201
Sampling Methodology inFinite Populations
Spring 2012
Instructor: GlenMeeden
office: 313 Ford Hall
office hours: 2:30 - 3:30 TThF or byappointment
phone: 612-625-8321
e-mail: glen@stat.umn.edu
Teaching Assistant: Brandon Whited
office hours: M 3:00-4:00 and Th1:00-2:00 in 350 Ford Hall
e-mail: white942@umn.edu
Lecture: 1:25-2:15 MWF
Classroom: 319 Akerman Hall
Text: Sampling: Design and Analysis, 2ndEdition, by Sharon Lohr and published by Duxbury Press in 2010. (You may usethe 1st edition.)
Hereis a link to Rweb
The inclass midterm exam will be givenon sometime after the spring break. The exam will cover the material in thefirst five homework assignments. It will be closed book but you may bring one8 by 11 formula sheet with whatever information you want on it. You may useboth sides of the sheet. You may not use a calculator. It is enough toexpress any numerical answer as a formula which can easily be evaluated usinga calculator.
The final exam will be a take home examand it will be handed out on the last day of class.
Syllabus
Announcements
Additional information aboutR and Rweb can be found at More on Rweb
To import the Lohr data into a table inR, use the following commands at the R prompt (>) substituting in theusername and password you were given in class:
library("RCurl")
x<-getURL("http://users.stat.umn.edu/~gmeeden/classes/5201/lohrdata/agsrs.txt",userpw = "username:password")
myData<-read.table(textConnection(x),header=T)
Home work assignments
Anoptional R homework assignment
Assignment1
Assignment2
Assignment3
Assignment4
Assignment5
Assignment6
Some course handouts
Notesfor the first lecture and the review of probability theory
Somenotation
Anintroduction to R given in class
UsingR to draw samples and the Central Limit Theorem
Someleast squares theory
Someproofs for cluster sampling
Notesfor the calibration lecture
Themodel based approach to survey sampling
Anintroduction to the Bayesian approach to survey sampling
Anintroduction to the survey package in R.
SomeRweb handouts
Introductionto Rweb
Tablelookup in Rweb
Simplerandom sampling
Estimatinga population mean
Enteringpopulations into R
Calculatingthe ratio estimator for a population total
Calculatingthe regression estimator for a population total
Workingwith stratified random samples
Workingwith cluster samples
Studyingthe Horvitz-Thompson Estimator
Varianceestimation of a systematic sample
Varianceestimation for the ratio estimator
Adjustingthe Horvitz-Thompson Estimator
Homework Solutions
Solutions to old exams
Inclass Spring 08 midterm
Spring 08 Takehome finalwithanswers to problems 2 and 3 in More answers
Spring09 Takehome final
Inclass Spring 10 midterm
Spring10 Takehome final
Inclass Spring 11 midterm
Spring11 Takehome final
Spring12 In class midterm
Spring12 Takehome final
Spring13 In class midterm
Spring13 Takehome final


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