Titlebook: Image-Based Computational Modeling of the Human Circulatory and Pulmonary Systems; Methods and Applicat Krishnan B. Chandran,H. S. Udaykuma

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Diane A. de Zélicourt,Brooke N. Steele,Ajit P. Yoganathanlater under certain correlation assumptions. Afterward, we allow other distributions for . like the negative-binomial distribution which lead to the classical generalized linear models. The chapter concludes with semi-parametric models, i.e., we do not explicitly assume a distribution for . but the

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David W. Kaczka,Ashley A. Colletti,Merryn H. Tawhai,Brett A. Simonlater under certain correlation assumptions. Afterward, we allow other distributions for . like the negative-binomial distribution which lead to the classical generalized linear models. The chapter concludes with semi-parametric models, i.e., we do not explicitly assume a distribution for . but the

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Hyunggun Kim,Jia Lu,K.B. Chandranptions required for exact knowledge are not satisfied in many cases of practical relevance and instead to use approximate sampling distributions that are asymptotically valid under relatively weak assumptions. A matter of real concern to the applied worker is then the quality of the asymptotically j

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Tom Claessens,Joris Degroote,Jan Vierendeels,Peter Van Ransbeeck,Patrick Segers,Pascal Verdonckptions required for exact knowledge are not satisfied in many cases of practical relevance and instead to use approximate sampling distributions that are asymptotically valid under relatively weak assumptions. A matter of real concern to the applied worker is then the quality of the asymptotically j