Zobrazeno 1 - 10
of 1 851
pro vyhledávání: '"Robust confidence intervals"'
Autor:
Lele, Subhash R.
Publikováno v:
Statistical Science, 2003 May 01. 18(2), 185-190.
Externí odkaz:
https://www.jstor.org/stable/3182848
Autor:
Royall, Richard, Tsou, Tsung-Shan
Publikováno v:
Journal of the Royal Statistical Society. Series B (Statistical Methodology), 2003 Jan 01. 65(2), 391-404.
Externí odkaz:
https://www.jstor.org/stable/3647511
Publikováno v:
Sensors, Vol 20, Iss 3, p 654 (2020)
In this article, robust confidence intervals for PM2.5 (particles with size less than or equal to 2.5 μ m ) concentration measurements performed in La Carolina Park, Quito, Ecuador, have been built. Different techniques have been applied for the c
Externí odkaz:
https://doaj.org/article/88bd9cac3f1646aa82da333e4fb9f638
Autor:
Yimin Zhang, Jesse Frey
Publikováno v:
Journal of the Korean Statistical Society. 50:1009-1028
We develop two new approximate confidence interval methods for estimating a population proportion using balanced ranked-set sampling (RSS). Unlike existing RSS-based methods, the new methods control the coverage probability well not just under perfec
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Publikováno v:
WSEAS TRANSACTIONS ON MATHEMATICS. 19:571-580
In this paper, a robust interval estimator for the classical process capability index (Cp) based on the modified trimmed standard deviation (MTSD = ST ∗ ) is considered under both normal and non-normal distributions. The performance of the newly pr
Publikováno v:
Journal of Modern Applied Statistical Methods. 18:2-20
In this paper, three robust confidence intervals are proposed as alternatives to the Student t confidence interval. The performance of these intervals was compared through a simulation study shows that Qn-t confidence interval performs the best and i
Publikováno v:
Advances in Science, Technology and Engineering Systems Journal. 5:442-449
Publikováno v:
Avances en Psicología Latinoamericana, Vol 28, Iss 1, Pp 12-28 (2010)
The bibliographic profi le of 125 undergraduate (licentiate)theses was analyzed, describing absolutequantities of several bibliometric variables, as wellas within-document indexes and average lags of thereferences. The results show a consistent patte
Externí odkaz:
https://doaj.org/article/229c4143985c4b5dbf9f793218fdca5d
Publikováno v:
ACM Transactions on Modeling and Computer Simulation. 29:1-22
Statistical Model Checking (SMC) is an approximate verification method that overcomes the state space explosion problem for probabilistic systems by Monte Carlo simulations. Simulations might, however, be costly if many samples are required. It is th