In this paper, we consider the problem of estimating an extreme quantile of a Weibull tail-distribution. The new extreme quantile estimator has a reduced bias compared to the more classical ones proposed in the literature. It is based on an exponential regression model that was introduced in Diebolt et al. (2008). The asymptotic normality of the extreme quantile estimator is established. We als...

Li & Racine (2008) consider the nonparametric estimation of conditional cumulative distribution functions (CDF) in the presence of discrete and continuous covariates along with the associated conditional quantile function. However, they did not propose an optimal data-driven method of bandwidth selection and left this important problem as an ‘open question’. In this paper we propose an automati...

This paper studies nonparametric estimation of conditional moment models in which the generalized residual functions can be nonsmooth in the unknown functions of endogenous variables. This is a nonparametric nonlinear instrumental variables (IV) problem. We propose a class of penalized sieve minimum distance (PSMD) estimators which are minimizers of a penalized empirical minimum distance criter...

background: poverty and low socioeconomic status are the most important reasons of increasing the global burden of tuberculosis, not only in developing countries but also in developed countries for particular groups. the purpose of this study was to assess the association between socioeconomic factors and the number of tuberculosis patients using quantile regression for count data.   methods: t...

The prediction of reservoir parameters is the most important part evaluation, and porosity very among many parameters. In order to accurately measure core, it necessary take cores for indoor experiments, which tedious difficult. To solve this problem, paper introduces machine learning models estimate through logging paper, gated recurrent unit neural network based on quantile regression method ...

â  â â â  â  abstract â  this paper examines convergence of real gdp per capita in the selected east asian countries and this relationship with selected middle east countries during the period 1950-2009. the reason behind this refers to the fact that east asia countries (including china, hong kong, singapore, malaysia, indonesia, thailand, japan and south korea) have been involved in achieving ...

A time series model with possibly a randomized unit root and a randomized seasonal unit root is considered. Two statistical tests are developed for the null hypothesis of 3xed unit roots against the alternative that the roots are random and 5uctuate about the value of one. The testing problem is addressed via the score test approach. The asymptotic representations of the test statistics in term...

This paper applies univariate and panel data unit root tests to annual panel data for 182 countries over the period 1979-2000 to examine the stationarity properties of per capita energy consumption. The univariate unit root test can only reject the unit root null for 29 per cent of the countries at the 10 per cent level or better without a trend and 37 per cent of the countries at the 10 per ce...

A new resampling procedure, the continuous-path block bootstrap, is proposed in the context of testing for integrated (unit root) time series. The continuous-path block bootstrap (CBB) is a nonparametric procedure that successfully generates unit root integrated pseudo time series retaining the important characteristics of the data, e.g., the dependence structure of the stationary process drivi...

Bayesian quantile regression generally relies on the asymmetric Laplace distribution (ALD) as error distribution. We consider methods for Lp-quantile based skewed exponential power (SEPD). Both and frequentist estimation procedures are outlined compared with previous work SEPD. find that our proposed greatly outperform a method in terms of estimation. Further, standard regression, we perform be...