In this study, new unit quantile regression model, called the Unit Gamma/ Gompertz for bounded responses is developed by re-parameterizing Gamma/Gompertz distribution. To estimate parameters of maximum likelihood approach used to develop estimators parameters. Monte Carlo simulations are test consistency model. The application model illustrated using three real life datasets and results reveale...

Matrix-variate beta distributions are applied in different fields of hypothesis testing, multivariate correlation analysis, zero regression, canonical correlation analysis and etc. A methodology is proposed to generate matrix-variate beta generator distributions by combining the matrix-variate beta kernel with an unknown function of the trace operator. Several statistical characteristics, exten...

Planning and implementing strategies to develop tourism has long been a priority issue for policy makers and decision makers: hence, a remarkable interest for quantitative methods aimed to assess the extent to which possible modifications of some determinants can affect the tourism flows of the destination country. Over the last decades, indeed, in Italy as well as in many other destinations wo...

The mode of a distribution provides an important summary of data and is often estimated based on some non-parametric kernel density estimator. This article develops a new data analysis tool called modal linear regression in order to explore highdimensional data. Modal linear regression models the conditional mode of a response Y given a set of predictors x as a linear function of x. Modal linea...

background: routinely collected data from tuberculosis surveillance system can be used to investigate and monitor the irregularities and abrupt changes of the disease incidence. we aimed at using a hidden markov model in order to detect the abnormal states of pulmonary tuberculosis in iran. methods: data for this study were the weekly number of newly diagnosed cases with sputum smear-positive p...

today, the effective inventory management plays an important role in the success of the organizations in the new business environment. it is not clearly possible for the organizations that store hundreds of inventory items to economically design an inventory management policy for each inventory item separately. moreover, various inventory items may play quite different roles in the business of ...

empirical models are important tools for relating field-measured biophysical variables to remotely sensed data. regression analysis has been a popular empirical method of linking these two types of data to estimate variables such as biomass, percent vegetation canopy cover, and bare soil. this study was conducted in a semi-arid rangeland ecosystem of qazvin province, iran. this paper presents t...

fluorescent monitoring of dna amplification is the basis of real-time pcr. absolute quantification can be achieved using a standard curve method. the standard curve is constructed by amplifying known amounts of standards under identical conditions to that of the samples.the objective of the current study is to propose a mathematical model to assess the acceptability of pcr resulys.four commerci...

many health studies were interested to find the association between multiple predictors with a dependent variable. the popular method to analyze these studies was multiple regressions that assumed the predictors were independent. while in practice some predictors may depend on each other and they could not be presented in a regression model simultaneously, as a result the appropriate models suc...

To explore the role of c-Myc in carcinogenesis, we have developed a reversible transgenic model of pancreatic beta cell oncogenesis using a switchable form of the c-Myc protein. Activation of c-Myc in adult, mature beta cells induces uniform beta cell proliferation but is accompanied by overwhelming apoptosis that rapidly erodes beta cell mass. Thus, the oncogenic potential of c-Myc in beta cel...