"False"
Skip to content
printicon
Main menu hidden.
Syllabus:

Statistics B: Programming and Modelling, 15 Credits

Swedish name: Statistik B: Programmering och modellering

This syllabus is valid: 2024-05-13 and until further notice

Course code: 2ST058

Credit points: 15

Education level: First cycle

Main Field of Study and progress level: Statistics: First cycle, has less than 60 credits in first-cycle course/s as entry requirements

Grading scale: Three-grade scale

Responsible department: Department of Statistics

Revised by: Dean of Umeå School of Business, Economics and Statistics, 2024-03-07

Literature

Valid from: 2024 week 20

Monte Carlo simulation and resampling : methods for social science
Carsey Thomas M., Harden Jeffrey J.
Los Angeles : SAGE : [2014] : 1 online resource (x, 293 pages) :
Online access for UMUB
ISBN: 9781483319605
Mandatory
Search the University Library catalogue

Grolemund Garrett
Hands-on programming with R
1. ed. : Sebastopol : O'Reilly Media : 2014 : xiii, 232 s. :
ISBN: 9781449359010
Mandatory
Search the University Library catalogue

Norman Matloff
The Art of R Programming: Tour of Statistical Software Design
1 : No Starch Press : 2011 :
Online access for UMUB
Mandatory

Mathematical statistics with applications
Wackerly Dennis D., Mendenhall William, Scheaffer Richard L.
7. ed. : Southbank : Thomson Learning : 2008 : xxii, 912 s. :
ISBN: 9780495385080
Mandatory
Search the University Library catalogue

Faraway Julian James.
Extending the linear model with R : generalized linear, mixed effects and nonparametric regression models
Second edition. : Boca Raton : CRC Press, Taylor & Francis Group : [2016] : xiii, 399 pages :
ISBN: 978-1-4987-2096-0
Mandatory
Search the University Library catalogue

Vittinghoff Eric.
Regression methods in biostatistics : linear, logistic, survival, and repeated measures models
New York : Springer : c2005. : xv, 340 p. :
Table of Contents / Abstracts
ISBN: 0-387-27255-0
Mandatory
Search the University Library catalogue

An Introduction to Statistical Learning : with Applications in R
James Gareth., Witten Daniela., Hastie Trevor., Tibshirani Robert.
New York, NY : Springer New York : 2013. : xiv, 426 p. 150 ill., 146 ill. in color. :
ISBN: 9781461471370
Mandatory
Search the University Library catalogue