Statistical inference for discrete distributions under parameter orthogonality and model misspecification / Chua Kuan Chin
The thesis examines statistical inference for discrete distributions under parameter orthogonality and model misspecification. Parameter orthogonality has many advantages in statistical inference (see, Cox and Reid, 1987); for example, convergence is fast in numerical maximum likelihood estimatio...
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Format: | Thesis |
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2009
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Online Access: | http://studentsrepo.um.edu.my/6199/1/Abstract.pdf http://studentsrepo.um.edu.my/6199/2/Abstrak.pdf http://studentsrepo.um.edu.my/6199/3/Acknowledgement.pdf http://studentsrepo.um.edu.my/6199/4/Glossary_of_Abbreviations.pdf http://studentsrepo.um.edu.my/6199/5/List_of_tables.pdf http://studentsrepo.um.edu.my/6199/6/Table_of_contents.pdf http://studentsrepo.um.edu.my/6199/7/Thesis%2DChapters%2CReferences%2CAppendix.pdf http://studentsrepo.um.edu.my/6199/8/Title_Page.pdf http://studentsrepo.um.edu.my/6199/ |
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