A model of mixed signals with applications to countersignaling an the GED

We develop a job-market signaling model where signals may convey two pieces of information. This model is employed to study the GED exam and countersignaling (signals non-monotonic in ability). A result of the model is that countersignaling is more expected to occur in jobs that require a combination of skills that differs from the combination used in the schooling process. The model also produces testable implications consistent with evidence on the GED: (i) it signals both high cognitive and low non-cognitive skills and (ii) it does not affect wages. Additionally, it suggests modifications that would make the GED a more signal.

Treatment of posterior crossbite in mixed dentition with a removable appliance: Reports of cases

A posterior crossbite malocclusion is defined as an abnormal buccolingual relationship. One or more maxillary teeth improperly occludes with one or more mandibular teeth in centric relation. This alteration develops early and is seldom self-correcting. This study is a report of the benefits of treating posterior crossbite malocclusions in mixed dentitions using removable appliances.

Robust linear mixed models with normal/independent distributions and Bayesian MCMC implementation

Linear mixed effects models have been widely used in analysis of data where responses are clustered around some random effects, so it is not reasonable to assume independence between observations in the same cluster. In most biological applications, it is assumed that the distributions of the random effects and of the residuals are Gaussian. This makes inferences vulnerable to the presence of outliers. Here, linear mixed effects models with normal/independent residual distributions for robust inferences are described. Specific distributions examined include univariate and multivariate versions of the Student-t, the slash and the contaminated normal. A Bayesian framework is adopted and Markov chain Monte Carlo is used to carry out the posterior analysis. The procedures are illustrated using birth weight data on rats in a texicological experiment. Results from the Gaussian and robust models are contrasted, and it is shown how the implementation can be used for outlier detection. The thick-tailed distributions provide an appealing robust alternative to the Gaussian process in linear mixed models, and they are easily implemented using data augmentation and MCMC techniques.

A Poisson mixed model with nonnormal random effect distribution

In this paper, we propose a random intercept Poisson model in which the random effect is assumed to follow a generalized log-gamma (GLG) distribution. This random effect accommodates (or captures) the overdispersion in the counts and induces within-cluster correlation. We derive the first two moments for the marginal distribution as well as the intraclass correlation. Even though numerical integration methods are, in general, required for deriving the marginal models, we obtain the multivariate negative binomial model from a particular parameter setting of the hierarchical model. An iterative process is derived for obtaining the maximum likelihood estimates for the parameters in the multivariate negative binomial model. Residual analysis is proposed and two applications with real data are given for illustration. (C) 2011 Elsevier B.V. All rights reserved.

Mixed intoxication with Aconitum nappellans (monkshood) and Digitalis grandiflora (large yellow foxglove)

Intoxications are frequent and relevant medical problems in emergency units.

Gauss-Seidel Estimation of Generalized Linear Mixed Models with Application to Poisson Modeling of Spatially Varying Disease Rates

Generalized linear mixed models (GLMMs) provide an elegant framework for the analysis of correlated data. Due to the non-closed form of the likelihood, GLMMs are often fit by computational procedures like penalized quasi-likelihood (PQL). Special cases of these models are generalized linear models (GLMs), which are often fit using algorithms like iterative weighted least squares (IWLS). High computational costs and memory space constraints often make it difficult to apply these iterative procedures to data sets with very large number of cases. This paper proposes a computationally efficient strategy based on the Gauss-Seidel algorithm that iteratively fits sub-models of the GLMM to subsetted versions of the data. Additional gains in efficiency are achieved for Poisson models, commonly used in disease mapping problems, because of their special collapsibility property which allows data reduction through summaries. Convergence of the proposed iterative procedure is guaranteed for canonical link functions. The strategy is applied to investigate the relationship between ischemic heart disease, socioeconomic status and age/gender category in New South Wales, Australia, based on outcome data consisting of approximately 33 million records. A simulation study demonstrates the algorithm's reliability in analyzing a data set with 12 million records for a (non-collapsible) logistic regression model.

Influence of sequential and mixed fermentations with non-Saccharomyces yeasts on the sensory profile of red wine

The aim of this work is to evaluate the influence of S. pombe and T. delbrueckii species on the sensory quality of red wine when used in sequential and mixed fermentations with S. cerevisiae.

America the beautiful : four-part song for mixed voices /

Caption title.

La légende de Sainte Cécile : drame en trois actes /

Incidental music to the play.

The Boston musical education society's collection of church music : consisting of original psalm and hymn tunes, select pieces, chants, &c., including compositions adapted to the service of the Protestant Episcopal Church /

Two voice parts with keyboard accompaniment.

Concerto for the organ with orchestra (strings, brass, harp and drums), op. 55 /

Mode of access: Internet.

The village compilation of sacred musick /

Errors in paging: 106, 109, 111 misnumbered 109, 111, and 109 respectively with consequent errors in index reference.

Concertstück, op. 79 for pianoforte. [music] : with orchestra accompaniment arranged for a second piano /

Mode of access: Internet.

Benedictus sit Deus : für 4 Singstimmen, 2 Violinen, 2 Violen, Bass, 2 Flöten, 2 Hörner, 2 Trompeten, Pauken und Orgel ; K.117.

Ser.3, no.20 of Mozarts Sämtliche Werke. Reprint of Leipzig: Breitkopf & Härtel, 1876-1905.

Concertstück, op.79 for pianoforte. With orchestra accompaniment arranged for a second piano.

Mode of access: Internet.