Simple and Conditional Discrimination and Specific Reinforcement in Teaching Reading: An Intervention Package

The Analysis of Verbal Behavior - This study evaluated an intervention package combining simple and conditional discrimination training and specific reinforcement for each stimulus class in...     

Influence diagnostics for Grubbs’s model with asymmetric heavy-tailed distributions

Grubbs’s model (Grubbs, Encycl Stat Sci 3:42–549, 1983) is used for comparing several measuring devices, and it is common to assume that the random terms have a normal (or symmetric) distribution. In this paper, we discuss the extension of this model to the class of scale mixtures of skew-normal distributions. Our results provide a useful generalization of the symmetric Grubbs’s model (Osorio et al., Comput Stat Data Anal, 53:1249–1263, 2009) and the asymmetric skew-normal model (Montenegro et al., Stat Pap 51:701–715, 2010). We discuss the EM algorithm for parameter estimation and the local influence method (Cook, J Royal Stat Soc Ser B, 48:133–169, 1986) for assessing the robustness of these parameter estimates under some usual perturbation schemes. The results and methods developed in this paper are illustrated with a numerical example.     

How financial crisis history informs ethical corporate communication: Insights from corporate communication leaders

This study explored how financial crisis history can inform corporate crisis communication practice across industries and over time. Thirty-eight interviews with chief communications officers (CCOs) and their counselors were conducted to explore what lasting lessons these corporate communication leaders learned from their crisis communication practice during the 2008 Financial Crisis. Key lessons learned include: 1) the importance for corporations to tailor their financial communication strategies according to victim vs. perpetrator perception and ethical response expectations held by stakeholders; 2) the importance of stakeholders, and employees in particular, when creating and implementing the plan; 3) the balance between speed and legal concerns, as well as the need for reducing complexity by making sure stakeholder communications are delivered with clarity and accessibility; and 4) a recipe for success includes honesty, transparency, trust/integrity, taking action to reform questionable practices, and abiding by one’s own personal morals. Insights from this study shed light on how learning contributes to ethical corporate communication practice in times of crisis and crisis spillover.     

The suitability of the design of handbags to the tropical climate

This work encourages the exercise of consideration, observation and critical reading of the design of handbags and the relation to the conditions imposed by tropical climate. Our purpose is to highlight some critical and conceptual thoughts on the matter of the design of fashion accessories in Brazil, ergonomics and aesthetic- functional relation. Through physical concepts is possible to propose consistents solutions compatible with the reality of the costumers living on Brazilian coast.     

Analysis of the suitability of furniture university - anthropometric characteristics of user

This study objective show if the furniture university are according anthropometric characteristics of user.     

The duality of poverty: a replication of Mani et al. (2013) in Colombia

Theory and Decision - Scarcity acts as a mental burden that disrupts how people process information and make decisions (Mullainathan and Shafir in Scarcity: Why having too little means so much....     

Characterization of children's verbal input in a forager-farmer population using long-form audio recordings and diverse input definitions

There is little systematically collected quantitative empirical data on how much linguistic input children in small-scale societies encounter, with some estimates suggesting low levels of directed speech. We report on an ecologically-valid analysis of speech experienced over the course of a day by young children (N = 24, 6–58 months old, 33% female) in a forager-horticulturalist population of lowland Bolivia. A permissive definition of input (i.e., including overlapping, background, and non-linguistic vocalizations) leads to massive changes in terms of input quantity, including a quadrupling of the estimate for overall input compared to a restrictive definition (only near and clear speech), while who talked to and around a focal child is relatively stable across input definitions. We discuss implications of these results for theoretical and empirical research into language acquisition.     

Partially linear models and their applications to change point detection of chemical process data

In many chemical data sets, the amount of radiation absorbed (absorbance) is related to the concentration of the element in the sample by Lambert–Beer's law. However, this relation changes abruptly when the variable concentration reaches an unknown threshold level, the so-called change point. In the context of analytical chemistry, there are many methods that describe the relationship between absorbance and concentration, but none of them provide inferential procedures to detect change points. In this paper, we propose partially linear models with a change point separating the parametric and nonparametric components. The Schwarz information criterion is used to locate a change point. A back-fitting algorithm is presented to obtain parameter estimates and the penalized Fisher information matrix is obtained to calculate the standard errors of the parameter estimates. To examine the proposed method, we present a simulation study. Finally, we apply the method to data sets from the chemistry area. The partially linear models with a change point developed in this paper are useful supplements to other methods of absorbance–concentration analysis in chemical studies, for example, and in many other practical applications.     

Linear censored regression models with skew scale mixtures of normal distributions

A special source of difficulty in the statistical analysis is the possibility that some subjects may not have a complete observation of the response variable. Such incomplete observation of the response variable is called censoring. Censorship can occur for a variety of reasons, including limitations of measurement equipment, design of the experiment, and non-occurrence of the event of interest until the end of the study. In the presence of censoring, the dependence of the response variable on the explanatory variables can be explored through regression analysis. In this paper, we propose to examine the censorship problem in context of the class of asymmetric, i.e., we have proposed a linear regression model with censored responses based on skew scale mixtures of normal distributions. We develop a Monte Carlo EM (MCEM) algorithm to perform maximum likelihood inference of the parameters in the proposed linear censored regression models with skew scale mixtures of normal distributions. The MCEM algorithm has been discussed with an emphasis on the skew-normal, skew Student-t-normal, skew-slash and skew-contaminated normal distributions. To examine the performance of the proposed method, we present some simulation studies and analyze a real dataset.