Leadership Training in Hospitality

Researchers and practitioners contend that hospitality management curricula tend to focus on teaching students technical skills they need to function effectively in the work- place but do not emphasize human and conceptual skills, one of which is leadership. Universities and companies strive to address leadership training, acknowledging that leadership is perhaps one of the most important roles any hospitality manager will fill and is probably least prepared for.

Extreme value Birnbaum-Saunders regression models applied to environmental data

Extreme value models are widely used in different areas. The Birnbaum–Saunders distribution is receiving considerable attention due to its physical arguments and its good properties. We propose a methodology based on extreme value Birnbaum–Saunders regression models, which includes model formulation, estimation, inference and checking. We further conduct a simulation study for evaluating its performance. A statistical analysis with real-world extreme value environmental data using the methodology is provided as illustration.

A new species of Pseudoxenus Saunders, 1872, and a new record of Myrmecolax Incautus Oliveira & Kogan, 1959: (Strepsiptera, Insecta)

Os A. A. descrevem Pseudoxenus inclusus sp. n., baseados em uma fêmea e centenas de triungulinideos, encontrados parasitando Ammophila sp., proveniente de Corrego do Itá, Espírito Santo, Brasil. O encontro de um outro exemplar de Myrmecolax incautus Oliveira & Kogan, 1959, permitiu aos AA. complementar a descrição desta espécie, cujo holótipo está muito danificado.

Utilização da função Birnbaum-Saunders para modelagem da distribuição diamétrica de povoamentos equiâneos de eucalipto

Objetivou-se neste estudo analisar a aplicação da função Birnbaum-Saunders com três e dois parâmetros e com a utilização do diâmetro mínimo como parâmetro de locação para a descrição da estrutura diamétrica de povoamentos equiâneos de eucalipto, bem como propor um modelo de distribuição diamétrica utilizando a função. A função foi ajustada a dados de parcelas permanentes de inventário, mensuradas em seis idades. A aderência da função aos dados foi comprovada pelo teste de Kolmogorov-Smirnov. Os modelos de distribuição diamétrica propostos apresentaram valores aceitáveis de coeficiente de correlação. A análise gráfica de resíduos não apresentou tendenciosidade para a função de dois parâmetros e γ = dapmin. A função com dois parâmetros e γ = dapmin pode ser utilizada para descrição da distribuição diamétrica de povoamentos de eucalipto.

On estimation and influence diagnostics for log-Birnbaum-Saunders Student-t regression models: Full Bayesian analysis

The purpose of this paper is to develop a Bayesian approach for log-Birnbaum-Saunders Student-t regression models under right-censored survival data. Markov chain Monte Carlo (MCMC) methods are used to develop a Bayesian procedure for the considered model. In order to attenuate the influence of the outlying observations on the parameter estimates, we present in this paper Birnbaum-Saunders models in which a Student-t distribution is assumed to explain the cumulative damage. Also, some discussions on the model selection to compare the fitted models are given and case deletion influence diagnostics are developed for the joint posterior distribution based on the Kullback-Leibler divergence. The developed procedures are illustrated with a real data set. (C) 2010 Elsevier B.V. All rights reserved.

Random number generators for the generalized Birnbaum-Saunders distribution

The generalized Birnbaum-Saunders distribution pertains to a class of lifetime models including both lighter and heavier tailed distributions. This model adapts well to lifetime data, even when outliers exist, and has other good theoretical properties and application perspectives. However, statistical inference tools may not exist in closed form for this model. Hence, simulation and numerical studies are needed, which require a random number generator. Three different ways to generate observations from this model are considered here. These generators are compared by utilizing a goodness-of-fit procedure as well as their effectiveness in predicting the true parameter values by using Monte Carlo simulations. This goodness-of-fit procedure may also be used as an estimation method. The quality of this estimation method is studied here. Finally, through a real data set, the generalized and classical Birnbaum-Saunders models are compared by using this estimation method.

Size and power properties of some tests in the Birnbaum-Saunders regression model

The Birnbaum-Saunders distribution has been used quite effectively to model times to failure for materials subject to fatigue and for modeling lifetime data. In this paper we obtain asymptotic expansions, up to order n(-1/2) and under a sequence of Pitman alternatives, for the non-null distribution functions of the likelihood ratio, Wald, score and gradient test statistics in the Birnbaum-Saunders regression model. The asymptotic distributions of all four statistics are obtained for testing a subset of regression parameters and for testing the shape parameter. Monte Carlo simulation is presented in order to compare the finite-sample performance of these tests. We also present two empirical applications. (C) 2010 Elsevier B.V. All rights reserved.

Signed likelihood ratio tests in the Birnbaum-Saunders regression model

The Birnbaum-Saunders regression model is becoming increasingly popular in lifetime analyses and reliability studies. In this model, the signed likelihood ratio statistic provides the basis for testing inference and construction of confidence limits for a single parameter of interest. We focus on the small sample case, where the standard normal distribution gives a poor approximation to the true distribution of the statistic. We derive three adjusted signed likelihood ratio statistics that lead to very accurate inference even for very small samples. Two empirical applications are presented. (C) 2010 Elsevier B.V. All rights reserved.

Epsilon Birnbaum-Saunders distribution family: properties and inference

In this paper we introduce a new extension for the Birnbaum-Saunder distribution based on the family of the epsilon-skew-symmetric distributions studied in Arellano-Valle et al. (J Stat Plan Inference 128(2):427-443, 2005). The extension allows generating Birnbaun-Saunders type distributions able to deal with extreme or outlying observations (Dupuis and Mills, IEEE Trans Reliab 47:88-95, 1998). Basic properties such as moments and Fisher information matrix are also studied. Results of a real data application are reported illustrating good fitting properties of the proposed model.

Small-Sample Corrections for Score Tests in Birnbaum-Saunders Regressions

In this article, we deal with the issue of performing accurate small-sample inference in the Birnbaum-Saunders regression model, which can be useful for modeling lifetime or reliability data. We derive a Bartlett-type correction for the score test and numerically compare the corrected test with the usual score test and some other competitors.