Estimation of integer-valued parameters

Graduate Thesis Or Dissertation

Public Deposited

Citeable URL: https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/f4752k05c

Descriptions

Attribute Name	Values
Creator	Chiang, Hung-Fu
Abstract	This thesis is a study of the problem of calculating the least-squares estimates of the parameters in a linear regression model when the parameter space is restricted to integer points within a given polyhedron. General observations are made about estimation of integer-valued parameters, and an integer-quadratic programming algorithm is given for calculating the estimates. Consistency of this method of estimation is proved. Two numerical examples are given to illustrate the method in the case of simple linear regression.
Resource Type	Masters Thesis
Date Available	2014-04-30T17:02:49+00:00
Date Issued	1965-06-10
Degree Level	Master's
Degree Name	Master of Science (M.S.)
Degree Field	Statistics
Degree Grantor	Oregon State University
Commencement Year	1966
Advisor	Guthrie, Donald Jr.
Academic Affiliation	Statistics
Non-Academic Affiliation	Oregon State University. Graduate School
Subject	Mathematical statistics Least squares
Rights Statement	Copyright Not Evaluated
Publisher	Oregon State University
Peer Reviewed	No
Language	English [eng]
Digitization Specifications	File scanned at 300 ppi using Capture Perfect 3.0 on a Canon DR-9050C in PDF format. CVista PdfCompressor 5.0 was used for pdf compression and textual OCR.
Replaces	http://hdl.handle.net/1957/47775

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