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The influence of risk perception in mountaineering on re-participation intentions: a moderated mediation model [PDF]

Frontiers in Psychology
ObjectiveMountaineering 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, Qi Zhao, Ye Liu, Yutong Yin, Shengchao Bai   +4 more
doaj   +2 more sources

Bootstrapping smooth conformal defects in Chern-Simons-matter theories

Journal of High Energy Physics
The expectation value of a smooth conformal line defect in a CFT is a conformal invariant functional of its path in space-time. For example, in large N holographic theories, these fundamental observables are dual to the open-string partition function in ...
Barak Gabai, Amit Sever, De-liang Zhong
doaj   +3 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, Sugiyarto Surono, Puguh Wahyu Prasetyo, Annisa E. Haryati   +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

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, Grothe, Oliver, Herrmann, Klaus, Hofert, Marius   +3 more
openaire   +4 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

Impact of globalization on the environment in major CO2-emitting countries: Evidence using bootstrap ARDL with a Fourier function

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, Cheng-Feng Wu, Cheng-Feng Wu, Tsangyao Chang, Tsangyao Chang, Tsung-Pao Wu, Kai-jun Leng, Meng-Chen Lin, Meng-Chen Lin, Shian-Chang Huang   +9 more
doaj   +1 more source

Identificaton and Diversity of Endophytic Fungi Associated with The Seagrasses of Cebu, Central Philippines

Biotropia: The Southeast Asian Journal of Tropical Biology, 2023
Endophytic fungi were poorly documented in the marine environment, especially in seagrasses regardless of their importance as sources of novel metabolites. In the Philippines, studies are dearth despite having large areas of seagrass meadows. Thus, this
Venus Kinamot, Alvin Monotilla
doaj   +1 more source

On confidence intervals centred on bootstrap smoothed estimators [PDF]

Stat, 2019
Bootstrap smoothed (bagged) estimators have been proposed as an improvement on estimators found after preliminary data‐based model selection. Efron derived a widely applicable formula for a delta method approximation to the standard deviation of the bootstrap smoothed estimator. He also considered a confidence interval centred on the bootstrap smoothed
Paul Kabaila, Christeen Wijethunga
openaire   +5 more sources

The Smoothed Bootstrap Fine-Tuning [PDF]

System Safety: Human - Technical Facility - Environment, 2019
Abstract The bootstrap method is a well-known method to gather a full probability distribution from the dataset of a small sample. The simple bootstrap i.e. resampling from the raw dataset often leads to a significant irregularities in a shape of resulting empirical distribution due to the discontinuity of a support. The remedy for these
Renata Dwornicka, Andrii Goroshko, Jacek Pietraszek   +2 more
openaire   +1 more source