The inflated beta regression model aims to enable the modeling of responses
in the intervals $(0,1]$, $[0,1)$ or $[0,1]$. In this model, hypothesis testing
is often performed based on the likelihood ratio statistic. The critical values
are obtained from asymptotic approximations, which may lead to distortions of
size in small samples. In this sense, this paper proposes the bootstrap
Bartlett correction to the statistic of likelihood ratio in the inflated beta
regression model. The proposed adjustment only requires a simple Monte Carlo
simulation. Through extensive Monte Carlo simulations the finite sample
performance (size and power) of the proposed corrected test is compared to the
usual likelihood ratio test and the Skovgaard adjustment already proposed in
the literature. The numerical results evidence that inference based on the
proposed correction is much more reliable than that based on the usual
likelihood ratio statistics and the Skovgaard adjustment. At the end of the
work, an application to real data is also presented.Comment: 17 pages, 2 figures, 3 table
RESUMOEsta pesquisa tem como objetivo avaliar o nível de satisfação dos usuários do Restaurante Universitário (RU) da Universidade Federal de Santa Maria (UFSM), Rio Grande do Sul, por meio de métodos estatísticos descritivos. Para isso, elaborou-se um questionário com questões sobre perfil e avaliação da satisfação e da importância em relação a 41 itens relacionados ao RU. Participaram da pesquisa 1.855 usuários, incluindo alunos, docentes e técnicos administrativos. Observou-se que a maioria dos usuários é do sexo feminino, está solteira, situa-se na faixa etária de 17 a 30 anos, é aluno sem o benefício socioeconômico, cursa a graduação e almoça em grupo. A maioria dos respondentes frequenta o restaurante entre o meio dia e uma hora da tarde e pelo menos três vezes por semana, sendo o preço atrativo a principal motivação para frequentá-lo. A maioria dos atributos do RU foi avaliada de forma positiva, com destaque para a iluminação interna, o preço cobrado, a localização, a acessibilidade, as formas de pagamento, o atendimento, o tamanho do restaurante, a organização do buffet, o conforto e o layout. Com relação aos itens avaliados insatisfatoriamente, merecem destaque a ventilação, o abrigo contra o sol e a chuva e os aspectos relacionados com a grande quantidade de usuários. Palavras-chave: Pesquisa de satisfação; Pesquisa de mercado; Restaurante Universitário; Análise quantitativa; Métodos descritivos.
ABSTRACT
This survey aims to assess the level of satisfaction by users of the University Restaurant at the Federal University of Santa Maria -RS, through descriptive statistical methods. A questionnaire of profiling, assessment of satisfaction and importance in relation to
The Costumer Window method has the main function to measure the level of importance and the degree of satisfaction with the products or services provided by the company, being a tool able to identify the weak points and powers of the company. The purpose of this paper is to present a critical analysis of the application of the method the client window in quality evaluation of University Restaurant, from Federal University of Santa Maria – RS (UFSM). The research involved 1,855 users, including students, teachers and administrative staff. The results showed that in the three units of the University Restaurant, most of the items evaluated is in Quadrant A of the Costumer Window, called "competitive force", ie, most of the items is important to the user and are attended of satisfactorily by restaurants. However, some items are in Quadrant D of the Costumer Window, called "competitive vulnerability", these items are important to the user but they are not being attended adequately. The results of this survey were forwarded to the administration of University Restaurant, which can generate subsides for the formulation of proposals to improvements (changes or adaptations) in the assessed attributes.
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