نتایج جستجو برای: hematoprotective effects

تعداد نتایج: 1544188  

Journal: :Mathematics and Computers in Simulation 2005
Baiding Hu Michael McAleer

Fast and steady economic growth in China during the 1990s attracted much international attention. Given the scarcity of resources, it is important for economic growth to depend on production efficiency improvement to achieve sustainability. As China is the world’s second largest foreign capital recipient, foreign capital plays an important role in investment. If economic growth is fuelled by in...

Journal: :J. Multivariate Analysis 2015
Fei Chen Zaixing Li Lei Shi Lixing Zhu

Inference for variance components in linear mixed models of ANOVA type, including estimation and testing, has been investigated when the number of fixed effects is fixed. However, for high-dimensional data, this number is large and would be regarded as a divergent value as the sample size goes to infinity. In this paper, existing tests are extended to handle this problem with a sparse model str...

2004
Silke Anger

Whereas the number of paid overtime hours declined over the last two decades in Germany, a different trend can be observed for unpaid overtime. We analyze future consequences of unpaid work with respect to a worker’s career advancement, such as higher future wages and probabilities of promotion or job retention, which might help to explain why an increasing fraction of employees are working ext...

1988
Galen R. Shorack

Consider a fixed effects ANOVi\ model. We propose to estimate cell means /lij by MLE's ~ij instead of cell averages ~j, and we propose to estimate error variance by a MLEQ2 rather than the usual mean square for error. Even so, much of the usual ANOVi\ methodology carries over when applied to the ~ij 's, and the efficiency is often increased. When this is generalized to common random effects and...

2015
Arthur Lewbel Samuel Norris Krishna Pendakur

We propose a new model that introduces peer effects into existing utility models of perceived needs. This combination introduces obstacles to obtaining identification that differ both from standard consumer demand and from standard models of peer effects. These obstacles arise from required nonlinearities in utility, from features of standard consumption survey data, and from heterogeneity that...

2016
N. Leonard Umoru David

Abstract This study examines the validity of the Environmental Kuznets Curve (EKC) in the developing economies of West Africa using a total of 32 cross sectional observations for each of the 16 countries of West Africa given a balance panel of 512 observations covering the periods 1980 through to 2012. The study estimated both the fixed effect and random effect model but however, the Hausman te...

Journal: :Computational Statistics & Data Analysis 2009
Tatiane F. N. Melo Silvia L. P. Ferrari Francisco Cribari-Neto

Mixed linear models are commonly used in repeated measures studies. They account for the dependence amongst observations obtained from the same experimental unit. Oftentimes, the number of observations is small, and it is thus important to use inference strategies that incorporate small sample corrections. In this paper, we develop modified versions of the likelihood ratio test for fixed effect...

2006
Lei Nie Min Yang

The search for conditions for the consistency of maximum likelihood estimators in nonlinear mixed effects models is difficult due to the fact that, in general, the likelihood can only be expressed as an integral over the random effects. For repeated measurements or clustered data, we focus on asymptotic theory for the maximum likelihood estimator for the case where the cluster sizes go to infin...

2002
Jeffrey D. Kromrey Kristine Y. Hogarty

Meta-analysis is a statistical technique through which information obtained from a collection of independent studies is analyzed and synthesized, potentially providing a more complete representation of the phenomenon under investigation. Models for meta-analysis may be roughly divided into those based upon fixed effects and those based upon random effects (Field, 2001; Hedges, 1994; Hedges & Ve...

2010
Elizabeth A. Heron Colm O’Dushlaine Ricardo Segurado Louise Gallagher Michael Gill

1 Mixture Model and Bayesian Model Interpretations Combining Equations 2.1 and 2.2 (Main Text), we can consider the empirical-Bayes hierarchical model as a mixed model with both fixed and random effects in the frequentist setting as given by: logit(pmi) = αm + ZmγXmi +Xmiτ tmm, where ZmγXmi would be considered a fixed effect and Xmiτ tmm a random effect. Alternatively, this model may be viewed ...

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