نتایج جستجو برای: mixed model

تعداد نتایج: 2280002  

1997
Enrica Detragiache

The paper studies the factors associated with the emergence of systemic banking crises in a sample of developed and developing countries in 1981-94 using a multivariate logit econometric model. The results show that a weak macroeconomic environment with low growth and high inflation makes crises more likely; high real interest rates have also contributed to banking sector fragility, and so does...

2006
Pankaj K. Choudhary

This article generalizes the tolerance interval approach for assessing agreement between two methods of continuous measurement for repeated measurement data — a common scenario in applications. The repeated measurements may be longitudinal or they may be replicates of the same underlying measurement. Our approach is to first model the data using a mixed model and then construct a relevant asymp...

Journal: :Computational Statistics & Data Analysis 2009
Linda Hartman Ola Hössjer Keith Humphreys

Genetic fine mapping can be performed by exploiting the notion that haplotypes that are structurally similar in the neighbourhood of a disease predisposing locus aremore likely to harbour the same susceptibility allele. Within the framework of Generalized Linear Mixed Models this can be formalized using spatial smoothing models, i.e. inducing a covariance structure for the haplotype risk parame...

1995
Guillermo Matera

We present a well-parallelizable algorithm which, taking a straight-line program for the evaluation of a vectorial field of rational functions of Q(X1, . . . , Xn) as input, decides whether they allow a rational potential function and, in case of affirmative answer, computes it as output. We introduce a mixed model of representation of polynomials to allow the application of integration techniq...

Journal: :Educational Technology & Society 2014
Zhi-Hong Chen

Competitive learning is attracting ever increasing amounts of attention in the field of digital game-based learning. Different mechanisms for the promotion of competitive learning have been proposed in previous studies, including social-competition and self-competition mechanisms, but few have addressed student preferences as to the choice between social-competition and self-competition, especi...

A. Mehrabi F. Jolai H . Safari M. Afshar-Bakeshloo M. Maleki

This paper develops an MILP model, named Satisfactory-Green Vehicle Routing Problem. It consists of routing a heterogeneous fleet of vehicles in order to serve a set of customers within predefined time windows. In this model in addition to the traditional objective of the VRP, both the pollution and customers’ satisfaction have been taken into account. Meanwhile, the introduced model prepares a...

Journal: :Int. J. Hum.-Comput. Stud. 2017
Jari Kätsyri Meeri Mäkäräinen Tapio Takala

The uncanny valley (UV) hypothesis, which predicts that almost but not fully humanlike artificial characters elicit negative evaluations, has become increasingly influential. At the same time, the hypothesis has become associated with many computer-animated films that have aimed at high realism. In the present investigation, we tested whether semirealistic animated film characters do in fact el...

2014
Bradley Efron

An unknown prior density g(θ) has yielded realizations Θ1,Θ2, . . . ,ΘN . They are unobservable, but each Θi produces an observable value Xi according to a known probability mechanism, for instance Xi ∼ Poisson(Θi). We wish to estimate g(θ) from the observed sample X1, X2, . . . , XN . Traditional asymptotic calculations are discouraging, indicating very slow nonparametric rates of convergence....

1995
José C. Pinheiro Douglas M. Bates

Mixed-effects models are frequently used to analyze grouped data, because they flexibly model the within-group correlation often present in this type of data. Examples of grouped data include longitudinal data, repeated measures data, multilevel data, and split-plot designs. We describe a set of S functions, classes, and methods for the analysis of linear and nonlinear mixed-effects models. The...

2015
J. Jakubík

Abstract. Currently is the analysis of high-dimensional data a popular field of research, thanks to many applications e.g. in genetics. At the same time, the type of problems that tend to arise in genetics, can often be modeled using LMMs in conjunction with high-dimensional data. In this paper we introduce two new methods and briefly compare them to existing methods, which can be used for vari...

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