Improved likelihood inference in Birnbaum-Saunders regressions

The Birnbaum-Saunders regression model is commonly used in reliability studies. We address the issue of performing inference in this class of models when the number of observations is small. Our simulation results suggest that the likelihood ratio test tends to be liberal when the sample size is small. We obtain a correction factor which reduces the size distortion of the test. Also, we consider a parametric bootstrap scheme to obtain improved critical values and improved p-values for the likelihood ratio test. The numerical results show that the modified tests are more reliable in finite samples than the usual likelihood ratio test. We also present an empirical application. (C) 2009 Elsevier B.V. All rights reserved.

Properties and Inference on the Skew-Curved-Symmetric Family of Distributions

In this article, we study some results related to a specific class of distributions, called skew-curved-symmetric family of distributions that depends on a parameter controlling the skewness and kurtosis at the same time. Special elements of this family which are studied include symmetric and well-known asymmetric distributions. General results are given for the score function and the observed information matrix. It is shown that the observed information matrix is always singular for some special cases. We illustrate the flexibility of this class of distributions with an application to a real dataset on characteristics of Australian athletes.

Improved testing inference in mixed linear models

Mixed linear models are commonly used in repeated measures studies. They account for the dependence amongst observations obtained from the same experimental unit. Often, 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 effects inference in mixed linear models. In particular, we derive a Bartlett correction to such a test, and also to a test obtained from a modified profile likelihood function. Our results generalize those in [Zucker, D.M., Lieberman, O., Manor, O., 2000. Improved small sample inference in the mixed linear model: Bartlett correction and adjusted likelihood. Journal of the Royal Statistical Society B, 62,827-838] by allowing the parameter of interest to be vector-valued. Additionally, our Bartlett corrections allow for random effects nonlinear covariance matrix structure. We report simulation results which show that the proposed tests display superior finite sample behavior relative to the standard likelihood ratio test. An application is also presented and discussed. (C) 2008 Elsevier B.V. All rights reserved.

First cases of exclusive paternal care in stink bugs (Hemiptera: Pentatomidae)

We describe paternal care in two pentatomid bugs, Lopadusa (Lopadusa) augur Stål, 1860 and Edessa nigropunctata Berg, 1884. Field and laboratory observations showed that males remain with their eggs and early hatched nymphs, while females abandon the eggs after oviposition. Guarding males defensive behaviors towards their clutches were similar to those described for guarding females of pentatomids. Since there is no detailed information on the internal phylogeny of Pentatomidae, it is not possible to make a robust inference on whether paternal care in L. augur and E. nigropunctata has arisen independently or not. If the latter, the two new cases of paternal care we describe here represent the fifth event of independent evolution of this rare behavioral trait in Heteroptera.

The impact of spatial data redundancy on SOLAP query performance

Geographic Data Warehouses (GDW) are one of the main technologies used in decision-making processes and spatial analysis, and the literature proposes several conceptual and logical data models for GDW. However, little effort has been focused on studying how spatial data redundancy affects SOLAP (Spatial On-Line Analytical Processing) query performance over GDW. In this paper, we investigate this issue. Firstly, we compare redundant and non-redundant GDW schemas and conclude that redundancy is related to high performance losses. We also analyze the issue of indexing, aiming at improving SOLAP query performance on a redundant GDW. Comparisons of the SB-index approach, the star-join aided by R-tree and the star-join aided by GiST indicate that the SB-index significantly improves the elapsed time in query processing from 25% up to 99% with regard to SOLAP queries defined over the spatial predicates of intersection, enclosure and containment and applied to roll-up and drill-down operations. We also investigate the impact of the increase in data volume on the performance. The increase did not impair the performance of the SB-index, which highly improved the elapsed time in query processing. Performance tests also show that the SB-index is far more compact than the star-join, requiring only a small fraction of at most 0.20% of the volume. Moreover, we propose a specific enhancement of the SB-index to deal with spatial data redundancy. This enhancement improved performance from 80 to 91% for redundant GDW schemas.

Richards growth model and viability indicators for populations subject to interventions

In this work we study the problem of modeling identification of a population employing a discrete dynamic model based on the Richards growth model. The population is subjected to interventions due to consumption, such as hunting or farming animals. The model identification allows us to estimate the probability or the average time for a population number to reach a certain level. The parameter inference for these models are obtained with the use of the likelihood profile technique as developed in this paper. The identification method here developed can be applied to evaluate the productivity of animal husbandry or to evaluate the risk of extinction of autochthon populations. It is applied to data of the Brazilian beef cattle herd population, and the the population number to reach a certain goal level is investigated.

Piaget segundo seus próprios argumentos

Neste artigo tivemos a intenção de oferecer ao leitor o resumo de um dos aspectos mais importantes da análise estrutural que realizamos, durante décadas, do texto de Jean Piaget, sobretudo as estreitas relações entre a Biologia e a Lógica na construção e na explicação do conhecimento científico. Nesse sentido, procuramos demonstrar que, a partir dos conceitos de implicação significante e de imagem mental criados por Piaget, um novo campo de investigações se abre, a saber, aquele que denominamos como o dos sistemas de significação não lógica, campo de suma relevância e que vem preencher uma secular lacuna entre a razão e a emoção até hoje presente nas pesquisas sobre os fenômenos normais e patológicos do psiquismo.

Frequência à creche e estado nutricional de pré-escolares: uma revisão sistemática

OBJETIVO: Descrever e comparar estudos longitudinais que permitam inferir sobre a influência da creche no estado nutricional de crianças pré-escolares. FONTES DE DADOS: Revisão sistemática de trabalhos científicos publicados entre janeiro de 1990 e dezembro de 2008. Buscaram-se os estudos nas seguintes bases de dados: Lilacs, Scielo e PubMed. Realizou-se também pesquisa manual dos artigos referenciados. A busca ocorreu no período de março de 2008 a junho de 2009, e os descritores utilizados foram: "creche", "estado nutricional", "antropometria", "consumo alimentar", "anemia" e "alimentação escolar". SÍNTESE DOS DADOS: Na primeira etapa do estudo, obtiveram-se 78 artigos, mas somente sete puderam ser incluídos. Os outros 71 não apresentaram dados para contribuir com o objetivo específico deste estudo. Entre os artigos pesquisados na literatura, existem poucos que permitem inferir sobre a influência que a creche pode ter em relação ao estado nutricional de pré-escolares. Contudo, estudos longitudinais têm mostrado a relação causal entre a presença frequente da criança na creche e a melhoria do estado nutricional. CONCLUSÕES: Existe uma relação positiva entre a frequência da criança na creche e a melhoria do estado nutricional.

Índices de preço para o transporte de cargas: o caso da soja

Esta pesquisa objetivou analisar metodologias para elaboração de índices de preços para o transporte de cargas. O estudo das principais fórmulas da Teoria Econômica culminou com a conclusão que os Índices de Fisher e Walsh são aqueles capazes de atender ao maior número de preceitos lógicos, estatísticos e econômicos. Em seguida, surgem os índices geométricos de Törnqvist, Vartia e Theil. Os Índices de Laspeyres e Paasche, apesar de apresentarem algumas limitações, acabam sendo amplamente utilizados, graças a maior capacidade de operacionalização. A pesquisa apresentou um estudo de caso para o transporte da soja em grão. Foram realizados quatro tratamentos. Obteve-se a variação acumulada no nível geral de preços para o transporte rodoviário de soja no Brasil, no período entre fevereiro de 1998 e março de 2002. De acordo com os resultados, essa variação acumulada teria sido de 76%.

Elementos protetores do leite materno na prevenção de doenças gastrintestinais e respiratórias

A Epistemologia Genética defende que o indivíduo passa por várias etapas de desenvolvimento ao longo da sua vida. O desenvolvimento é observado pela sobreposição do equilíbrio entre a assimilação e a acomodação, resultando em adaptação. Assim, nesta formulação, o ser humano assimila os dados que obtém do exterior, mas uma vez que já tem uma estrutura mental que não está vazia, precisa adaptar esses dados à estrutura mental já existe. O processo de modificação de si próprio é chamado de acomodação. Este esquema revela que nenhum conhecimento chega do exterior sem que sofra alguma alteração pelo indivíduo, sendo que tudo o que se aprende é influenciado por aquilo que já havia sido aprendido. A assimilação ocorre quando a informação é incorporada às estruturas já pré-existentes nessa dinâmica estrutura cognitiva, enquanto que a adaptação ocorre quando o organismo se modifica de alguma maneira de modo a incorporar dinamicamente a nova informação. Por fim, de um pensamento moderno que, buscando a síntese inusitada entre o biológico e o lógico-matemático, parece encontrar seus limites na desconstrução ainda mais inusitada a que tende sistematicamente todo o pensamento na atualidade: a de si mesmo se construindo de modo essencialmente esclarecido

A epistemologia genética de Piaget e o construtivismo

A Epistemologia Genética defende que o indivíduo passa por várias etapas de desenvolvimento ao longo da sua vida. O desenvolvimento é observado pela sobreposição do equilíbrio entre a assimilação e a acomodação, resultando em adaptação. Assim, nesta formulação, o ser humano assimila os dados que obtém do exterior, mas uma vez que já tem uma estrutura mental que não está vazia, precisa adaptar esses dados à estrutura mental já existe. O processo de modificação de si próprio é chamado de acomodação. Este esquema revela que nenhum conhecimento chega do exterior sem que sofra alguma alteração pelo indivíduo, sendo que tudo o que se aprende é influenciado por aquilo que já havia sido aprendido. A assimilação ocorre quando a informação é incorporada às estruturas já pré-existentes nessa dinâmica estrutura cognitiva, enquanto que a adaptação ocorre quando o organismo se modifica de alguma maneira de modo a incorporar dinamicamente a nova informação. Por fim, de um pensamento moderno que, buscando a síntese inusitada entre o biológico e o lógico-matemático, parece encontrar seus limites na desconstrução ainda mais inusitada a que tende sistematicamente todo o pensamento na atualidade: a de si mesmo se construindo de modo essencialmente esclarecido

Assessing influence in survival data with a cure fraction and covariates

Diagnostic methods have been an important tool in regression analysis to detect anomalies, such as departures from error assumptions and the presence of outliers and influential observations with the fitted models. Assuming censored data, we considered a classical analysis and Bayesian analysis assuming no informative priors for the parameters of the model with a cure fraction. A Bayesian approach was considered by using Markov Chain Monte Carlo Methods with Metropolis-Hasting algorithms steps to obtain the posterior summaries of interest. Some influence methods, such as the local influence, total local influence of an individual, local influence on predictions and generalized leverage were derived, analyzed and discussed in survival data with a cure fraction and covariates. The relevance of the approach was illustrated with a real data set, where it is shown that, by removing the most influential observations, the decision about which model best fits the data is changed.

Os conhecimentos tradicional e científico do Saco do Arraial, estuário da Lagoa do Patos (RS)

Ethno-sciences study the logical behind the traditional population knowledge about environmental process. This case study aims at describing the ethno-knowledge of artisanal fishermen on the hydrodynamics of the estuary around Coreia community (Saco do Arraial), located in Dos Patos Lagoon, in southern Brazil, from an ethnooceangraphic perspective. For this purpose, mental maps, open-ended and in-depth semi-structured interviewing and participative research have been used. As well as scientific knowledge, rains and winds were had main hydrodynamic effort of Saco do Arraial, although astronomic influence in located hydrodynamic has been just a perception of traditional knowledge. Soon, these data have shown another important way to perceive the Patos Lagoon.

Genetic diversity of turmeric germplasm (Curcuma longa; Zingiberaceae) identified by microsatellite markers

Turmeric (Curcuma longa) is a triploid, vegetatively propagated crop introduced early during the colonization of Brazil. Turmeric rhizomes are ground into a powder used as a natural dye in the food industry, although recent research suggests a greater potential for the development of drugs and cosmetics. In Brazil, little is known about the genetic variability available for crop improvement. We examined the genetic diversity among turmeric accessions from a Brazilian germplasm collection comprising 39 accessions collected from the States of Goias, Mato Grosso do Sul, Minas Gerais, Sao Paulo, and Para. For comparison, 18 additional genotypes were analyzed, including samples from India and Puerto Rico. Total DNA was extracted from lyophilized leaf tissue and genetic analysis was performed using 17 microsatellite markers (single-sequence repeats). Shannon-Weiner indexes ranged from 0.017 (Minas Gerais) to 0.316 (Sao Paulo). Analyses of molecular variance (AMOVA) demonstrated major differences between countries (63.4%) and that most of the genetic diversity in Brazil is found within states (75.3%). Genotypes from Sao Paulo State were the most divergent and potentially useful for crop improvement. Structure analysis indicated two main groups of accessions. These results can help target future collecting efforts for introduction of new materials needed to develop more productive and better adapted cultivars.

ProbFAST: Probabilistic Functional Analysis System Tool

Background: The post-genomic era has brought new challenges regarding the understanding of the organization and function of the human genome. Many of these challenges are centered on the meaning of differential gene regulation under distinct biological conditions and can be performed by analyzing the Multiple Differential Expression (MDE) of genes associated with normal and abnormal biological processes. Currently MDE analyses are limited to usual methods of differential expression initially designed for paired analysis. Results: We proposed a web platform named ProbFAST for MDE analysis which uses Bayesian inference to identify key genes that are intuitively prioritized by means of probabilities. A simulated study revealed that our method gives a better performance when compared to other approaches and when applied to public expression data, we demonstrated its flexibility to obtain relevant genes biologically associated with normal and abnormal biological processes. Conclusions: ProbFAST is a free accessible web-based application that enables MDE analysis on a global scale. It offers an efficient methodological approach for MDE analysis of a set of genes that are turned on and off related to functional information during the evolution of a tumor or tissue differentiation. ProbFAST server can be accessed at http://gdm.fmrp.usp.br/probfast.