نتایج جستجو برای: generalized fitting subgroup

تعداد نتایج: 294559  

2000
Jun Zhai

In toxicology, it is often of interest to perform a Dunnett’s test to determine whether a pesticide or toxic substance is different at various levels from a control. The problem is complicated by the fact that often a traditional analysis of variance (ANOVA) model cannot be used because of a complex variance structure. For example, it might be of interest to determine whether rats receiving dif...

2009
Qing-Jun Zhang

Based on the latest MLCS17 SNe Ia data provided by Hicken et al. (2009), together with the Baryon Acoustic Oscillation (BAO) and strong gravitational lenses (SGL), we investigate the dark energy equation-of-state parameter for both constant w and time-varying w(z) = w0 + waz/(1 + z) in the flat universe, and its correlation with the matter density ΩM and Hubble constant h. The constraints from ...

2017
Walter H. Dempsey Alexander Moreno Christy K. Scott Michael L. Dennis David H. Gustafson Susan A. Murphy James M. Rehg

An important mobile health (mHealth) task is the use of multimodal data, such as sensor streams and self-report, to construct interpretable timeto-event predictions of, for example, lapse to alcohol or illicit drug use. Interpretability of the prediction model is important for acceptance and adoption by domain scientists, enabling model outputs and parameters to inform theory and guide interven...

Journal: :The Stata Journal: Promoting communications on statistics and Stata 2003

2009
Fabian Scheipl

The lme4 package uses sparse matrix technology and clever decompositions of the likelihood to fit linear, generalized, and nonlinear mixed-effects models. The amer package extends lme4’s scope to include generalized additive mixed models (GAMM). This vignette summarizes the main ideas behind additive models and their representation in the form of a mixed model, describes the modifications to lm...

Journal: :The Stata Journal: Promoting communications on statistics and Stata 2003

Journal: :Proceedings of the Royal Society of London. Series B: Biological Sciences 2000

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