Determination of hypothesis testability in linear statistical models
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Authors
Walls, William Hammond
Subjects
Advisors
Barr, D.R.
Date of Issue
1977-03
Date
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
Analysts conducting experiments must frequently
deal with situations in which data is incomplete or
missing. This creates problems that can seriously
affect classical hypothesis testing by introducing
extraneous terras into the hypothesis in a complicated
way. A technique exists that allows an analyst to
determine precisely which experimental terms are
actually present in a proposed hypothesis and what
that hypothesis would actually be testing if employed.
This paper examines the mathematics underlying the
technique and applies the theory to a widely used data
analysis computer package. A computer program is
presented to facilitate implementation of the method.
Type
Thesis
Description
Series/Report No
Department
Operations Research
Organization
Naval Postgraduate School
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.