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在“Elsevier”中，命中：1,864条，耗时：0.1059474 秒

1.A new class of semi-mixed effects models and its application in small area estimation

作者：Marí ; a José ; Lombardí ; a^a ; ^{maria.jose.lombardia@udc.es} ; Stefan Sperlich^b ; ^{stefan.sperlich@unige.ch}

关键词：Semi-mixed effects models ; Semiparametric regression ; Multilevel models ; Small area statistics ; Panel data analysis

刊名：Computational Statistics and Data Analysis

出版年：2012

2.Maximum likelihood estimation in discrete mixed hidden Markov models using the SAEM algorithm

作者：M. Delattre ; ^{maud.delattre@math.u-psud.fr} ; M. Lavielle ; ^{marc.lavielle@math.u-psud.fr}

关键词：Nonlinear mixed effects model ; SAEM algorithm ; Forward backward algorithm ; Epileptic seizures count

刊名：Computational Statistics and Data Analysis

出版年：2012

3.Evaluation of mixed-effects models for predicting Douglas-fir mortality

作者：Jeremiah D. Groom ; ^{jgroom@odf.state.or.us} ; ^{jeremygroom@gmail.com} ; David W. Hann ^{david.hann@oregonstate.edu} ; Hailemariam Temesgen ^{hailemariam.temesgen@oregonstate.edu}

关键词：Generalized linear model ; Mixed model ; Douglas-fir ; Mortality

刊名：Forest Ecology and Management

出版年：2012

4.A new approach to specify and estimate non-normally mixed multinomial probit models

作者：Chandra R. Bhat ; ^{bhat@mail.utexas.edu} ; Raghuprasad Sidharthan¹ ; ^{raghu@mail.utexas.edu}

关键词：Multinomial probit ; Mixed models ; Maximum approximate composite marginal likelihood ; Maximum simulated likelihood ; Multivariate skew-normal distribution

刊名：Transportation Research Part B ; Methodological

出版年：2012

5.Structural dynamic analysis using hybrid and mixed finite element models

作者：Má ; rio R.T. Arruda ; Luí ; s Manuel Santos Castro ; ^{luis@civil.ist.utl.pt}

关键词：Elastodynamics ; Hybrid-mixed formulation ; Stress model ; Legendre polynomials ; Mixed time integration

刊名：Finite Elements in Analysis and Design

出版年：2012

6.Reference priors for linear models with general covariance structures

作者：Xin Zhao^a ; ^{xin_zhao@merck.com} ; Martin T. Wells^b

关键词：Covariance estimation ; General linear models ; Graphical models ; Linear mixed models ; MCMC ; Penalized splines ; Reference prior ; Smoothing ; Structural equation models

刊名：Journal of Statistical Planning and Inference

出版年：2012

7.Multiple imputation of missing repeated outcome measurements did not add to linear mixed-effects models

作者：Sanne A.E. Peters^a ; ^{s.a.e.peters@umcutrecht.nl} ; Michiel L. Bots^a ; Hester M. den Ruijter^a ; Mike K. Palmer^b ; Diederick E. Grobbee^a ; John R. Crouse III^c ; Daniel H. O&rsquo ; Leary^d ; Gregory W. Evans^e ; Joel S. Raichlen^f ; Karel G.M. Moons^a ; Hendrik Koffijberg^a ; METEOR study group

关键词：Multiple imputation ; Missing repeated outcome measurements ; Linear mixed-effects model ; Methodology ; Clinical trials ; Carotid intima-media thickness

刊名：Journal of Clinical Epidemiology

出版年：2012

8.Bayesian nonparametric mixed random utility models

作者：George Karabatsos^a ; ^{georgek@uic.edu} ; Stephen G. Walker^b

关键词：Mixed multinomial logit model ; Stick-breaking priors ; Bayesian nonparametrics

刊名：Computational Statistics and Data Analysis

出版年：2012

9.Small area estimation of poverty proportions under area-level time models

作者：M.D. Esteban^a ; D. Morales^a ; A. Pé ; rez^b ; ^{agustin.perez@umh.es} ; L. Santamarí ; a^a

关键词：Linear mixed models ; Small area estimation ; Time correlation ; Poverty proportions

刊名：Computational Statistics and Data Analysis

出版年：2012

10.Estimation for the single-index models with random effects

作者：Zhen Pang^a ; ^{zpang@ntu.edu.sg} ; Liugen Xue^b

关键词：Single-index models ; Mixed-effects models ; Local linear smoother ; Pooled estimator ; Variance components

刊名：Computational Statistics and Data Analysis

出版年：2012

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