STAT 491 - Programming and Computing in Statistics

Institution:

Northern Illinois University

Subject:

Description:

A study of algorithms useful for implementing computer intensive techniques in statistical inference and probability. Topics include computation of maximum likelihood estimators, bootstrap approximation, randomization and permutation testing techniques, Bayesian techniques, approximation of distribution functions and quantiles, simulation of random variables and stochastic processes. Implementation of the algorithms is achieved using the C++ (or C or FORTRAN) and R programming languages, as well as other specialized statistical computation software. Prerequisites & Notes PRQ: STAT 472 and either CSCI 230 or CSCI 240, or consent of division. Credits: 3

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.niu.edu

Phone Number:

(800) 892-3050

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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