Results 41 to 50 of about 87,758 (191)

Measuring efficiency of Tunisian schools in the presence of quasi-fixed inputs: A bootstrap data envelopment analysis approach [PDF]

The objective of this paper is to measure the efficiency of high schools in Tunisia. We use a statistical Data Envelopment Analysis (DEA)-bootstrap approach with quasi-fixed inputs to estimate the precision of our measure.
Essid, Hédi, Ouellette, Pierre, Vigeant, Stéphane   +2 more
core   +4 more sources

Bootstrap of Kernel Smoothing in Nonlinear Time Series [PDF]

, 1997
Kernel smoothing in nonparametric autoregressive schemes offers a powerful tool in modelling time series. In this paper it is shown that the bootstrap can be used for estimating the distribution of kernel smoothers. This can be done by mimicking the stochastic nature of the whole process in the bootstrap resampling or by generating a simple regression ...
Franke, Jürgen, J.-P., Kreiss, Mammen, E.   +2 more
openaire   +9 more sources

The long-term variability of atmospheric ozone from the 50-yr observations carried out at Belsk (51.84°N, 20.78°E), Poland

Tellus: Series B, Chemical and Physical Meteorology, 2013
Total ozone (TO3) and ozone vertical profile (by the Umkehr method) have been measured at Belsk (51.84°N, 20.78°E), Poland, since March 1963.
JANUSZ W. Krzyścin, BONAWENTURA Rajewska-Więch, JANUSZ JarosŁawski   +2 more
doaj   +1 more source

USEFULNESS OF BOOTSTRAPPING IN PORTFOLIO MANAGEMENT

Croatian Operational Research Review, 2012
This paper contains a comparison of in-sample and out-of-sample performances between the resampled efficiency technique, patented by Richard Michaud and Robert Michaud (1999), and traditional Mean-Variance portfolio selection, presented by Harry ...
Boris Radovanov, Aleksandra Marcikić
doaj  

On the structure and lifespan of smooth solutions for the two-dimensional hyperbolic geometric flow equation

Advances in Nonlinear Analysis
In this article, we investigate the initial value problem for the hyperbolic geometric flow equation, which is derived from hyperbolic geometric flow for Riemannian metric.
Wang Yinxia, Wang Yuzhu, Zhao Feiyan
doaj   +1 more source

Constructing a Control Chart Using Functional Data

Mathematics, 2020
This study proposes a control chart based on functional data to detect anomalies and estimate the normal output of industrial processes and services such as those related to the energy efficiency domain.
Miguel Flores, Salvador Naya, Rubén Fernández-Casal, Sonia Zaragoza, Paula Raña, Javier Tarrío-Saavedra   +5 more
doaj   +1 more source

(Un)Conditional Sample Generation Based on Distribution Element Trees

, 2018
Recently, distribution element trees (DETs) were introduced as an accurate and computationally efficient method for density estimation. In this work, we demonstrate that the DET formulation promotes an easy and inexpensive way to generate random samples ...
Meyer, Daniel W.
core   +2 more sources

Multi-Task CNN-LSTM Modeling of Zero-Inflated Count and Time-to-Event Outcomes for Causal Inference with Functional Representation of Features

Axioms
We propose a novel deep learning framework for counterfactual inference on the COMPAS dataset, utilizing a multi-task CNN-LSTM architecture. The model jointly predicts multiple outcome types: (i) count outcomes with zero inflation, modeled using zero ...
Jong-Min Kim
doaj   +1 more source

The missing censoring indicator model and the smoothed bootstrap [PDF]

Computational Statistics & Data Analysis, 2008
For right censored data with missing censoring indicators, sub-density function kernel estimators play a significant role for estimating a survival function. Data-driven bandwidths for computing these kernel estimators are proposed. The bandwidths are obtained as minimizers of certain estimates of the mean integrated squared error (MISE).
Subramanian, Sundarraman, Bean, Derek
openaire   +3 more sources

On stable entire solutions of sub-elliptic system involving advection terms with negative exponents and weights

Journal of Inequalities and Applications, 2020
We examine the weighted Grushin system involving advection terms given by { Δ G u − a ⋅ ∇ G u = ( 1 + ∥ z ∥ 2 ( α + 1 ) ) γ 2 ( α + 1 ) v − p in  R n , Δ G v − a ⋅ ∇ G v = ( 1 + ∥ z ∥ 2 ( α + 1 ) ) γ 2 ( α + 1 ) u − q in  R n , $$ \textstyle\begin{cases}
Belgacem Rahal
doaj   +1 more source