Spelling suggestions: "subject:"oon linear models"" "subject:"soon linear models""
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Orthogonal models for cross-classified observationsBust, Reg January 1987 (has links)
Includes bibliography. / This thesis describes methods of constructing models for cross-classified categorical data. In particular we discuss the construction of a class of approximating models and the selection of the most suitable model in the class. Examples of application are used to illustrate the methodology. The main purpose of the thesis is to demonstrate that it is both possible and advantageous to construct models which are specifically designed for the particular application under investigation. We believe that the methods described here allow the statistician to make good use of any expert knowledge which the client (typically a non-statistician) might possess on the subject to which the data relate.
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Time series analysisPope, Kenneth James January 1993 (has links)
No description available.
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Tests for linearity in time series: a comparative study.January 1986 (has links)
by Wai-sum Chan. / Thesis (M.Ph.)--Chinese University of Hong Kong, 1986 / Includes bibliographical references.
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A new method of testing hypotheses in linear models.January 1996 (has links)
by Tsz-Kit Keung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1996. / Includes bibliographical references (leaf 81). / Chapter Chapter 1 --- Introduction --- p.1 / Chapter Chapter 2 --- Testing Testable Hypotheses in Linear Models --- p.8 / Chapter 2.1 --- A General Theory --- p.9 / Chapter 2.2 --- The Method of Peixoto --- p.17 / Chapter 2.3 --- The Method of Chan and Li --- p.23 / Chapter Chapter 3 --- A New Method of Obtaining Equivalent Hypotheses --- p.32 / Chapter Chapter 4 --- Constrained Linear Models --- p.44 / Chapter 4.1 --- Hypothesis Testing in Constrained Linear Models --- p.44 / Chapter 4.2 --- Linear Models with Missing Observations --- p.50 / Chapter Chapter 5 --- Conclusions --- p.71 / Appendix --- p.74 / References --- p.81
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Non-decomposable discrete graphical models /Liu, Jinnan. January 2008 (has links)
Thesis (Ph.D.)--York University, 2008. Graduate Programme in Mathematics and Statistics. / Typescript. Includes bibliographical references (leaves 81-83). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:NR39029
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Generalized linear mixed models : development and comparison of different estimation methods /Nelson, Kerrie P. January 2002 (has links)
Thesis (Ph. D.)--University of Washington, 2002. / Vita. Includes bibliographical references (p. 170-182).
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Evaluation of predictive equations using biased estimators for the linear regression modelFriedman, David J. 08 1900 (has links)
No description available.
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Spatial statistics using quasi-likelihood methods with applications /Dolan, David M. January 1999 (has links)
Thesis (Ph.D.) -- McMaster University, 1999. / Includes bibliographical references (leaves 202-212). Also available via World Wide Web.
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Multivariate general linear model under permutation theory with application to gene expression data /Zeng, Chan. January 2007 (has links)
Thesis (Ph.D. in Analytic Health Sciences) -- University of Colorado Denver, 2007. / Typescript. Includes bibliographical references (leaves 46-48). Free to UCD affiliates. Online version available via ProQuest Digital Dissertations;
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Asymptotic properties of the Buckley-James estimator for a bivariate interval censorship regression modelChen, Cuixian. January 2007 (has links)
Thesis (Ph. D.)--State University of New York at Binghamton, Mathematical Sciences Department or Field of Study, 2007. / Includes bibliographical references.
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