Analysis of binary data in the presence of non-Bernoulli sources of variation Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/p5547t72h

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  • A quantal response model, more general than the usual logistic model, is introduced. This model takes into account sources of variability, or experimental error, other than that arising from variability in response between individual organisms (or other objects on test). It is assumed that this extra source of variation is additive on a logistic scale. The likelihood function for this model is displayed and procedures relating to a likelihood analysis are discussed. An approximate least squares approach is also introduced. A class of tests and a class of estimators (of the scale parameter for this extra source of variation) are examined.
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  • File scanned at 300 ppi (Monochrome) using ScandAll PRO 1.8.1 on a Fi-6770A in PDF format. CVista PdfCompressor 5.0 was used for pdf compression and textual OCR.
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  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2013-10-24T21:00:44Z (GMT) No. of bitstreams: 1 SandsBradley1976.pdf: 669451 bytes, checksum: 4d5dbeceb98f1d5521e863347f4b4a2d (MD5)
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  • description.provenance : Approved for entry into archive by Kirsten Clark(kcscannerosu@gmail.com) on 2013-11-05T20:55:37Z (GMT) No. of bitstreams: 1 SandsBradley1976.pdf: 669451 bytes, checksum: 4d5dbeceb98f1d5521e863347f4b4a2d (MD5)
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