The smoothed bootstrap fine-tuning

• Autorzy: Dwornicka Renata , Goroshko Andrii , Pietraszek Jacek

Identyfikatory

DOI

10.2478/czoto-2019-0091

• Konferencja: 7th International Conference System Safety: Human - Technical Facility - Environment, CzOTO 2018 (7 ; 12-14.12.2018 ; Zakopane, Poland)
• Języki publikacji: EN

Abstrakty

EN

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 irregularities is the smoothed bootstrap: a small random shift of source points before each resampling. This shift is controlled by specifically selected distributions. The key issue is such parameter settings of these distributions to achieve the desired characteristics of the empirical distribution. This paper describes an example of this procedure.

Słowa kluczowe

EN

smoothed bootstrap; statistic; design of experiments; numerical simulation

PL

projektowanie eksperymentów; statystyka; symulacja numeryczna

• Wydawca: De Gruyter
• Czasopismo: System Safety : Human - Technical Facility - Environment
• Rocznik: 2019
• Tom: Vol. 1, nr 1
• Strony: 716--723
• Opis fizyczny: Bibliogr. 28 poz., rys., tab.

Twórcy

autor

Dwornicka Renata

• Cracow University of Technology, Poland

autor

Goroshko Andrii

• Khmelnytsky National University, Ukraine

autor

Pietraszek Jacek

• Khmelnytsky National University, Ukraine

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).