Wszystkie pola: numerical experiments - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: The bootstrap method as a tool to improve the design of experiments
Autorzy:: Dwornicka, Renata
Radek, Norbert
Pietraszek, Jacek
Powiązania:: https://bibliotekanauki.pl/articles/88607.pdf
Data publikacji:: 2019
Wydawca:: Stowarzyszenie Menedżerów Jakości i Produkcji
Tematy:: bootstrap
statistics
design of experiments
numerical simulation
statystyka
projektowanie eksperymentów
symulacje numeryczne
Opis:: The paper considers the use of the bootstrap method to improve the determination of confidence intervals identified by the DOE (design of experiment) procedure. Two different approaches have been used: one that is appropriate for factorial designs and the other one relevant to the methodology of the response surface. Both approaches were tested on the real experiment datasets and compared with the results obtained from the classical statistical expressions based on well known asymptotic formulas derived from the distribution.
Źródło:: System Safety : Human - Technical Facility - Environment; 2019, 1, 1; 724-729
2657-5450
Pojawia się w:: System Safety : Human - Technical Facility - Environment
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: The smoothed bootstrap fine-tuning
Autorzy:: Dwornicka, Renata
Goroshko, Andrii
Pietraszek, Jacek
Powiązania:: https://bibliotekanauki.pl/articles/88564.pdf
Data publikacji:: 2019
Wydawca:: Stowarzyszenie Menedżerów Jakości i Produkcji
Tematy:: smoothed bootstrap
statistic
design of experiments
numerical simulation
projektowanie eksperymentów
statystyka
symulacja numeryczna
Opis:: 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.
Źródło:: System Safety : Human - Technical Facility - Environment; 2019, 1, 1; 716-723
2657-5450
Pojawia się w:: System Safety : Human - Technical Facility - Environment
Dostawca treści:: Biblioteka Nauki

Artykuł

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