Results 1 to 10 of about 24,206 (303)
The influence of risk perception in mountaineering on re-participation intentions: a moderated mediation model [PDF]
Frontiers in PsychologyObjectiveMountaineering is a high-risk outdoor activity requiring strong psychological regulation and risk assessment abilities. The study aims to investigate the relationship between risk perception in mountaineering and re-participation intention ...
Huihui Gu +4 more
doaj +2 more sources
Bootstrap of residual processes in regression: to smooth or not to smooth? [PDF]
Biometrika, 2019 In this paper we consider a location model of the form $Y = m(X) + \varepsilon$, where $m(\cdot)$ is the unknown regression function, the error $\varepsilon$ is independent of the $p$-dimensional covariate $X$ and $E(\varepsilon)=0$. Given i.i.d. data $(X_1,Y_1),\ldots,(X_n,Y_n)$ and given an estimator $\hat m(\cdot)$ of the function $m(\cdot)$ (which ...
Íngrid Van Keilegom
exaly +4 more sources
Kernel Smoothing to Improve Bootstrap Confidence Intervals
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1997 Summary Some studies of the bootstrap have assessed the effect of smoothing the estimated distribution that is resampled, a process usually known as the smoothed bootstrap. Generally, the smoothed distribution for resampling is a kernel estimate and is often rescaled to retain certain characteristics of the empirical distribution ...
Alan M Polansky, William R Schucany
exaly +3 more sources
A Smooth Bootstrap Procedure towards Deriving Confidence Intervals for the Relative Risk [PDF]
Communications in Statistics - Theory and Methods, 2014 Dongliang Wang, Alan D Hutson
exaly +2 more sources
Forecasting educated unemployed people in Indonesia using the Bootstrap Technique [PDF]
Journal of Mahani Mathematical Research, 2023 Forecasting is an essential analytical tool used to make future predictions based on preliminary data. However, the use of small sample sizes during analysis provides inaccurate results, known as asymptotic forecasting.
Umi Mahmudah +3 more
doaj +1 more source
Differentiable Functionals and Smoothed Bootstrap [PDF]
Annals of the Institute of Statistical Mathematics, 1997 The differentiability properties of statistical functionals have several interesting applications. We are concerned with two of them. First, we prove a result on asymptotic validity for the so-called smoothed bootstrap (where the artificial samples are drawn from a density estimator instead of being resampled from the original data).
Cuevas, Antonio, Romo, Juan
openaire +2 more sources
Helical inflation correlators: partial Mellin-Barnes and bootstrap equations
Journal of High Energy Physics, 2023 Massive spinning particles acquire helicity-dependent chemical potentials during the inflation from axion-type couplings. Such spinning fields can mediate sizable inflaton correlators which we call the helical inflation correlators.
Zhehan Qin, Zhong-Zhi Xianyu
doaj +1 more source
Frontiers in Public Health, 2022 Alongside sustainable development as a major global aim, the contribution made by globalization to environmental issues has become crucial in recent decades. Prior studies have focused on how trade in globalization influences the environment.
Cheng-Feng Wu +9 more
doaj +1 more source
Jurnal Teknologi Informatika & Komputer, 2020 Currently it is the Era of the Industrial Revolution 4.0, where the industrial sector as well as companies and organizations in various fields are required to change.
Abu Sopian, Rano Agustino, Agus Wiyatno
doaj +1 more source
Smooth bootstrapping of copula functionals
Electronic Journal of Statistics, 2022 The smooth bootstrap for estimating copula functionals in small samples is investigated. It can be used both to gauge the distribution of the estimator in question and to augment the data. Issues arising from kernel density and distribution estimation in the copula domain are addressed, such as how to avoid the bounded domain, which bandwidth matrix to
Coblenz, Maximilian +3 more
openaire +4 more sources