Matching Items (19)
Filtering by
- All Subjects: Songs (High voice) with piano
- Creators: Nagell, Ann
ContributorsGoodner, Janice (Performer) / Nagell, Ann (Performer) / Apperson, James (Performer) / ASU Library. Music Library (Publisher)
Created1987-06-30
ContributorsSilva, Magda Yvette (Performer) / Nagell, Ann (Performer) / Bertipaglia, Waldir (Performer) / ASU Library. Music Library (Publisher)
Created2008-09-25
ContributorsMartin, Katherine (Performer) / Nagell, Ann (Performer) / ASU Library. Music Library (Publisher)
Created2011-05-01
ContributorsRoth, Michelle (Performer) / Nagell, Ann (Performer) / ASU Library. Music Library (Publisher)
Created1996-04-23
ContributorsGoodner, Janice (Performer) / Nagell, Ann (Performer) / Clauter, Nancy (Performer) / Marderness, Jill Whitcomb (Performer) / Phoenix String Quartet (Performer) / ASU Library. Music Library (Publisher)
Created1986-01-20
ContributorsCorley, Sheila (Performer) / Nagell, Ann (Performer) / Quintessence (Performer) / ASU Library. Music Library (Publisher)
Created1993-01-21
ContributorsMurray, Deanna (Performer) / Rowe, Barbara (Performer) / Nagell, Ann (Performer) / ASU Library. Music Library (Publisher)
Created1986-03-17
ContributorsLee, Sun Joo (Performer) / Nagell, Ann (Performer) / ASU Library. Music Library (Publisher)
Created2006-11-21
Description
Statistical model selection using the Akaike Information Criterion (AIC) and similar criteria is a useful tool for comparing multiple and non-nested models without the specification of a null model, which has made it increasingly popular in the natural and social sciences. De- spite their common usage, model selection methods are not driven by a notion of statistical confidence, so their results entail an unknown de- gree of uncertainty. This paper introduces a general framework which extends notions of Type-I and Type-II error to model selection. A theo- retical method for controlling Type-I error using Difference of Goodness of Fit (DGOF) distributions is given, along with a bootstrap approach that approximates the procedure. Results are presented for simulated experiments using normal distributions, random walk models, nested linear regression, and nonnested regression including nonlinear mod- els. Tests are performed using an R package developed by the author which will be made publicly available on journal publication of research results.
ContributorsCullan, Michael J (Author) / Sterner, Beckett (Thesis advisor) / Fricks, John (Committee member) / Kao, Ming-Hung (Committee member) / Arizona State University (Publisher)
Created2018
ContributorsSearcy, Robyn (Performer) / Nagell, Ann (Performer) / ASU Library. Music Library (Publisher)
Created1985-02-08