maRkov : Goodness-of-fit Tests for Binary Markov Chains

Honors College Thesis

Public Deposited

Citeable URL: https://ir.library.oregonstate.edu/concern/honors_college_theses/jh343v382

Descriptions

Attribute Name	Values
Creator	Cartmell, Conrad
Abstract	Markov chains, discovered over one hundred years ago by Andrey Markov in an attempt to analyze the distribution of vowels and consonants in Russian poetry, have evolved in multiple fields over the last century to become a mainstay of statistical modeling and computation. maRkov is a package of software to be deployed within the R programming environment that allows for various tests to be performed to check the appropriateness of different Markov Chain models for sets of observed binary data. Key Words: Markov chains, LRT, binary data, backward forward algorithm, exchangeable sequence
License	All rights reserved
Resource Type	Honors College Thesis
Date Available	2016-06-01T15:53:28+00:00
Date Issued	2016-05-24
Degree Level	Bachelor's
Degree Name	Honors Bachelor of Science (H.B.S.)
Degree Field	Mathematics
Degree Grantor	Oregon State University
Commencement Year	2016
Advisor	Mondal, Debashis
Non-Academic Affiliation	Oregon State University. Honors College
Déclaration de droits	In Copyright
Publisher	Oregon State University
Peer Reviewed	No
Language	English [eng]
Replaces	http://hdl.handle.net/1957/58999

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