Lumber quality of Eucalyptus grandis as a function of diametrical position and log steaming

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Temperature charts of Hevea brasiliensis during log steaming and its effect on the board cracks

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Estimativa do tempo de vaporização de toras de Eucalyptus grandis

O objetivo deste estudo foi adequar o modelo geral de determinação do tempo de vaporização de toras, proposto por Steinhagen et al. (1980), para a madeira de Eucalyptus grandis. Para tanto, foram coletadas toras de 20 a <25, de 25 a <30 e de 30 a <35 cm de diâmetro de 14 árvores de E. grandis provenientes do Horto Florestal de Mandurí, SP, pertencente ao Instituto Florestal de São Paulo. em cada uma das toras foi inserido um termopar próximo ao seu centro. Posteriormente, as toras foram vaporizadas a 90 ºC e 100% de umidade relativa, durante 20 horas. Um coletor de dados registrou as temperaturas, no interior do material, durante o tratamento térmico. Conclui-se que o modelo de Steinhagen et al. (1980) não pode ser diretamente aplicado à espécie em estudo, e propõem-se fatores de correções para a utilização do modelo geral de determinação do tempo de vaporização de toras, desenvolvido por Steinhagen et al. (1980), para a madeira de Eucalyptus grandis.

Influência da posição diametral das tábuas e da vaporização nos defeitos de secagem de Eucalyptus grandis

This study evaluated the Eucalyptus grandis drying defects acting on boards diametrical position and on log steaming. Half of the logs, with diameter from 20 to <25, 25 to <30 and 30 to <35cm, were steamed during 20 hours at 90°C of temperature. Subsequently, the logs (control and steamed) were sawn. The boards were dried in the dry-kiln pilot and the resulting defects from the drying process were measured. The results indicate that: (1) the boards coming from control logs presented different magnitude defects in function of the diametrical position. The split and spring to increase in direction to pith, the bow to increase in direction to bark and cupping were bigger in intermediary boards; (2) the boards coming from steamed logs presented a reduction from drying defects in function of logs diameter and its more homogeneous index in the pith-bark direction.

Chemical properties and decay resistance of eucalyptus grandis wood from steamed logs

The objective of this study was evaluate the effect of the log steaming on the chemical properties and decay resistance of Eucalyptus grandis wood. Logs with diameter between 20 and 22 cm were studied. Half of logs were kept in its on original condition, and the other half was steamed at 90°C for 13 hours. The holocellulosc, Klason lignin, total extractives content and the weight loss caused by the decay fungus Pycnoporus sanguineous were characterized. The results showed that the log steaming of E. grandis wood cause: (l)a significantly decreased in holocellulose content; (2) an increase of 4.8% and 4.4% in total extractives and lignin content, respectively; and (3) a decrease in its durability against the decay fungus P. sanguineus in order of 13.03%. Copyright © (2012) by WCTE 2012 Committee.

Avaliação do tempo e métodos de aquecimento de toras de Eucalyptus grandis Hill ex-Maiden e sua influência no rendimento em laminação e na qualidade das lâminas

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Estimativa do tempo de vaporização das toras e sua implicação no desdobro e na secagem da madeira de Eucalyptus grandis

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Efeito da vaporização na madeira de Eucalyptus grandis sobre as suas propriedades químicas e resistência natural a fungos e cupins

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Residuals for log-Burr XII regression models in survival analysis

In this paper, we compare three residuals to assess departures from the error assumptions as well as to detect outlying observations in log-Burr XII regression models with censored observations. These residuals can also be used for the log-logistic regression model, which is a special case of the log-Burr XII regression model. For different parameter settings, sample sizes and censoring percentages, various simulation studies are performed and the empirical distribution of each residual is displayed and compared with the standard normal distribution. These studies suggest that the residual analysis usually performed in normal linear regression models can be straightforwardly extended to the modified martingale-type residual in log-Burr XII regression models with censored data.

A log-extended Weibull regression model

A bathtub-shaped failure rate function is very useful in survival analysis and reliability studies. The well-known lifetime distributions do not have this property. For the first time, we propose a location-scale regression model based on the logarithm of an extended Weibull distribution which has the ability to deal with bathtub-shaped failure rate functions. We use the method of maximum likelihood to estimate the model parameters and some inferential procedures are presented. We reanalyze a real data set under the new model and the log-modified Weibull regression model. We perform a model check based on martingale-type residuals and generated envelopes and the statistics AIC and BIC to select appropriate models. (C) 2009 Elsevier B.V. All rights reserved.

The generalized log-gamma mixture model with covariates: local influence and residual analysis

In a sample of censored survival times, the presence of an immune proportion of individuals who are not subject to death, failure or relapse, may be indicated by a relatively high number of individuals with large censored survival times. In this paper the generalized log-gamma model is modified for the possibility that long-term survivors may be present in the data. The model attempts to separately estimate the effects of covariates on the surviving fraction, that is, the proportion of the population for which the event never occurs. The logistic function is used for the regression model of the surviving fraction. Inference for the model parameters is considered via maximum likelihood. Some influence methods, such as the local influence and total local influence of an individual are derived, analyzed and discussed. Finally, a data set from the medical area is analyzed under the log-gamma generalized mixture model. A residual analysis is performed in order to select an appropriate model.

Log-modified Weibull regression models with censored data: Sensitivity and residual analysis

This paper proposes a regression model considering the modified Weibull distribution. This distribution can be used to model bathtub-shaped failure rate functions. Assuming censored data, we consider maximum likelihood and Jackknife estimators for the parameters of the model. We derive the appropriate matrices for assessing local influence on the parameter estimates under different perturbation schemes and we also present some ways to perform global influence. Besides, for different parameter settings, sample sizes and censoring percentages, various simulations are performed and the empirical distribution of the modified deviance residual is displayed and compared with the standard normal distribution. These studies suggest that the residual analysis usually performed in normal linear regression models can be straightforwardly extended for a martingale-type residual in log-modified Weibull regression models with censored data. Finally, we analyze a real data set under log-modified Weibull regression models. A diagnostic analysis and a model checking based on the modified deviance residual are performed to select appropriate models. (c) 2008 Elsevier B.V. All rights reserved.

A Log-Linear Regression Model for the Beta-Weibull Distribution

We introduce the log-beta Weibull regression model based on the beta Weibull distribution (Famoye et al., 2005; Lee et al., 2007). We derive expansions for the moment generating function which do not depend on complicated functions. The new regression model represents a parametric family of models that includes as sub-models several widely known regression models that can be applied to censored survival data. We employ a frequentist analysis, a jackknife estimator, and a parametric bootstrap for the parameters of the proposed model. We derive the appropriate matrices for assessing local influences on the parameter estimates under different perturbation schemes and present some ways to assess global influences. Further, for different parameter settings, sample sizes, and censoring percentages, several simulations are performed. In addition, the empirical distribution of some modified residuals are displayed and compared with the standard normal distribution. These studies suggest that the residual analysis usually performed in normal linear regression models can be extended to a modified deviance residual in the proposed regression model applied to censored data. We define martingale and deviance residuals to evaluate the model assumptions. The extended regression model is very useful for the analysis of real data and could give more realistic fits than other special regression models.

Sudden onset of log-periodicity and superdiffusion in non-Markovian random walks with amnestically induced persistence: exact results

Random walks can undergo transitions from normal diffusion to anomalous diffusion as some relevant parameter varies, for instance the L,vy index in L,vy flights. Here we derive the Fokker-Planck equation for a two-parameter family of non-Markovian random walks with amnestically induced persistence. We investigate two distinct transitions: one order parameter quantifies log-periodicity and discrete scale invariance in the first moment of the propagator, whereas the second order parameter, known as the Hurst exponent, describes the growth of the second moment. We report numerical and analytical results for six critical exponents, which together completely characterize the properties of the transitions. We find that the critical exponents related to the diffusion-superdiffusion transition are identical in the positive feedback and negative feedback branches of the critical line, even though the former leads to classical superdiffusion whereas the latter gives rise to log-periodic superdiffusion.