semi-parametric
Cross-country Efficiency of Secondary Education Provision: a Semi-parametric Analysis with Non- discretionary Inputs
... a semi-parametric model of the education production process using a two-stage approach, we show that inefficiency in the education sector is strongly related to two variables that are, at least in the ...
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Understanding uncertainties in non-linear population trajectories: a Bayesian semi-parametric hierarchical approach to large-scale surveys of coral cover.
... when the relationship between time and the response variable cannot be assumed to follow a specific and consistent pattern. Such patterns are typical for ecological data from corals and many other natural populations and ...
9
Parametric and Semi-parametric Cure Rate Models with Spatial Frailties for Interval-Censored Data
... In this thesis, we extend some flexible cure rate models, such as the geometric, negative binomial and power series cure rate models, to allow for spatial correlations by including spatial frailties for the interval ...
203
Efficiency in school education: a semi-parametric study of shool efficiency in OECD countries
... Efficiency-driven reforms have become increasingly relevant in education policy, as edu- cation systems face tighter budget constraints. Educational authorities around the world often struggle to foster the best student ...
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A Semi-Parametric Survival Analysis of Business Demography Dynamics in Portugal
... ∂ . This means that the coefficient of one explanatory variable is the constant proportional effect of a unit increase of this variable on the conditional probability of exiting. The assumption made for the functional ...
11
The reasons behind the progression in PISA scores: An education production function approach using semi-parametric techniques
... On December 2013, and for the fifth time since 2000, OECD published the results of the latest PISA survey, providing a view on how the students’ performance has progressed during the last 12 years. Using PISA data we ...
42
Novel approaches for effective design of controlled drug release systems, employing hybrid semi-parametric mathematical systems
... encapsulation method and formulation characteristics) that impact on the amount of burst release and the burst release rate was made using PLS and decision tree methods. The predictive[r] ...
155
A (semi-)parametric functional coefficient autoregressive conditional duration model
... In this section, we estimate the FC-ACD model for the price durations of the IBM stock traded on the New York Stock Exchange (NYSE) from September to November 1996. In contrast to Zhang et al.’s (2001) empirical analysis ...
41
The Use of Semi-parametric Methods in Achieving Robust Inference
... three it is proposed a new approach to estimating the covariance matrix of the least square (henceforth LS) estimator in a linear regression model.. This ap-.[r] ...
145
Adaptive Choice of Thresholds and the Bootstrap Methodology: an Empirical Study. Notas e Comunicações, CEAUL 12/2010
... generalized-Hill semi-parametric estimators of γ, detailed in Section 2, we shall consider the associated classes of second-order reduced-bias estimators, based on an adequate estimation of generalized ...
11
Abbas Atefi, Abdol Ahad Shadparvar
... three parametric and semi parametric methods, including BayesA, Bayesian LASSO and Reproducing kernel Hilbert spaces regression under various levels of heritability ...
7
Industry regulation, competition, and the dynamics of productivity growth: evidence from China’s iron and steel industry
... This study aims to investigate the characteristics of the eficient evolution of China’s iron and steel industry against the backdrop of limited openness and regulation and to discuss the important effects of regulatory ...
26
A Partially Reduced Bias Class of Value-at-Risk Estimators
... recent semi-parametric procedure based on a partially reduced-bias extreme value index (EVI) class of estimators, a generalization of the classical Hill EVI-estimator, related to the mean-of-order-p of an ...
7
Universidade Federal de Minas Gerais Escola de Engenharia Programa de Pós-Graduação em Engenharia Elétrica Estabilização Robusta de Sistemas Não Lineares Incertos Utilizando Representações Algébricas Diferenciais
... In another investigation, the regional robust stabilization problem of input-saturated uncertain nonlinear systems was investigated in this work with emphasis on the maximization of the as- sociate guaranteed ellipsoidal ...
102
A parametric spectral model for texture-based salience
... In this paper, we return to the problem of texture in saliency models by ex- tending the Itti and Koch model. By interpreting oriented Gabor filter responses as a local power spectrum of the image, we define a simple ...
12
Sorafenib prevents liver fibrosis in a non-alcoholic steatohepatitis (NASH) rodent model
... E , IL-10 protein levels were also lower in the sorafenib group compared to the NASH (P , 0.001, non-parametric Tukey test) and control groups (P=0.039, non-parametric Tukey test).. to a[r] ...
7
Development of a WormCAD using Parametric Design Approach
... The software was able to generate the following key parameters: Module, Pitch circle diameter of worm, Number of teeth on the worm, Length of tooth of the worm,[r] ...
12
Non- parametric specification tests for conditional duration models
... duration models by looking at the density and baseline hazard rate functions.. More precisely, we foeus on the distance between the parametric density (or.[r] ...
48
Parametric pattern selection in a reaction-diffusion model.
... We determine the stability region of spot solutions in parameter space as a function of a natural control parameter (feed-rate) where degenerate patterns with different numbers of spots [r] ...
6
Assessing Hospital Efficiency: Non-parametric Evidence for Portugal
... are parametric and deterministic and as such they may confound “the effect of omitted variables and measurement errors, as well as possible misspecification of the functional form” (Jacobs, Smith and Street, ...
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