Results 21 to 30 of about 363,612 (293)
An Observation-Driven Random Parameter INAR(1) Model Based on the Poisson Thinning Operator
Entropy, 2023 This paper presents a first-order integer-valued autoregressive time series model featuring observation-driven parameters that may adhere to a particular random distribution.
Kaizhi Yu, Tielai Tao
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Buildings, 2018 The purpose of this paper is to propagate the input uncertainties of the degree-day method to estimate the building heating energy consumption as numerical intervals. While it is common to use average or expected values (e.g., Typical Meteorological Year)
Xin Cheng, Simon Li
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Interval estimation of trigonometrical splines [PDF]
MATEC Web of Conferences, 2019 Quite often, it is necessary to quickly determine variation range of the function. If the function values are known at some points, then it is easy to construct the local spline approximation of this function and use the interval analysis rules.
Burova I.G., Ivanova E.G., Kostin V.A.
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Interval Estimation Naïve Bayes [PDF]
, 2003 Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier called naïve Bayes is competitive with state of the art classifiers. This simple approach stands from assumptions of conditional independence among features given the class.
Robles Forcada, Víctor +4 more
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Nonparametric Estimation of the Interval Reliability [PDF]
Journal of Statistical Theory and Applications (JSTA), 2014 The interval reliability of a repairable system is the probability that the system is operating at a specified time and will continue to operate for a specified interval of time.
Angel Mathew, N. Balakrishna
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Estimators for the interval censoring problem
Electronic Journal of Statistics, 2011 We study three estimators for the interval censoring case 2 problem, a histogram-type estimator, proposed in Birg (1999), the maximum likelihood estimator (MLE) and the smoothed MLE, using a smoothing kernel. Our focus is on the asymptotic distribution of the estimators at a fixed point. The estimators are compared in a simulation study.
Groeneboom, P. (author) +1 more
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Measurement Interval Effect on Photovoltaic Parameters Estimation
Energies, 2023 Recently, the estimation of photovoltaic parameters has drawn the attention of researchers, and most of them propose new optimization methods to solve this problem.
Oumaima Mesbahi +4 more
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PLoS ONE, 2023 Standardized effect sizes and confidence intervals are useful statistical assessments for comparing results across different studies when measurement units are not directly comparable.
Gwowen Shieh
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Security analysis of the decoy method with the Bennett–Brassard 1984 protocol for finite key lengths
New Journal of Physics, 2014 This paper provides a formula for the sacrifice bit-length for privacy amplification with the Bennett–Brassard 1984 protocol for finite key lengths, when we employ the decoy method.
Masahito Hayashi, Ryota Nakayama
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Confidence Intervals for the Long-Term Noise Indicators Using the Kernel Density Estimator
Archives of Acoustics, 2016 A non-classical model of interval estimation based on the kernel density estimator is presented in this paper. This model has been compared with interval estimation algorithms of the classical (parametric) statistics assuming that the standard deviation ...
Bartłomiej STĘPIEŃ
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