Temat: lower probability - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Nonparametric predictive inference in reliability and risk: recent developments
Autorzy:: Coolen, F. P. A.
Powiązania:: https://bibliotekanauki.pl/articles/2069524.pdf
Data publikacji:: 2011
Wydawca:: Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:: competing risks
imprecise reliability
lower probability
upper probability
nonparametric predictive inference
system reliability
unobserved or unknown failure modes
Opis:: During the last two decades, statistical methods using lower and upper probabilities have become increasingly popular. One such method is Nonparametric Predictive Inference (NPI), which makes relatively few modelling assumptions. Due to the specic nature of many reliability and risk scenarios, NPI provides attractive new solutions to many problems in these elds. This paper provides an introductory overview to this area, including examples on competing risks, system reliability and prediction of unobserved or even unknown failure modes.
Źródło:: Journal of Polish Safety and Reliability Association; 2011, 2, 1; 39--50
2084-5316
Pojawia się w:: Journal of Polish Safety and Reliability Association
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Variance upper bounds and a probability inequality for discrete α-unimodality
Autorzy:: Ageel, M.
Powiązania:: https://bibliotekanauki.pl/articles/1208132.pdf
Data publikacji:: 2000
Wydawca:: Polska Akademia Nauk. Instytut Matematyczny PAN
Tematy:: probability inequality
variance
upper and lower bounds
discrete unimodality
Opis:: Variance upper bounds for discrete α-unimodal distributions defined on a finite support are established. These bounds depend on the support and the unimodality index α. They increase as the unimodality index α increases. More information about the underlying distributions yields tighter upper bounds for the variance. A parameter-free Bernstein-type upper bound is derived for the probability that the sum S of n independent and identically distributed discrete α-unimodal random variables exceeds its mean E(S) by a positive value nt. The bound for P{S-nμ ≥ nt} depends on the range of the summands, the sample size n, the unimodality index α and the positive number t.
Źródło:: Applicationes Mathematicae; 2000, 27, 4; 403-410
1233-7234
Pojawia się w:: Applicationes Mathematicae
Dostawca treści:: Biblioteka Nauki

Artykuł

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