Nonparametric serial interval estimation with uniform mixtures. [PDF]
The serial interval of an infectious disease is a key instrument to understand transmission dynamics. Estimation of the serial interval distribution from illness onset data extracted from transmission pairs is challenging due to the presence of censoring
Oswaldo Gressani, Niel Hens
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Confidence interval estimation for vaccine efficacy against COVID-19 [PDF]
This article focuses on the construction of a confidence interval for vaccine efficacy against contagious coronavirus disease-2019 (COVID-19) in a fixed number of events design.
Qinyu Wei, Peng Wang, Ping Yin
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Bootstrap Confidence Intervals for the Parameter of the Poisson-Sujatha Distribution and Their Applications to Agriculture [PDF]
In a number of real-world situations, one encounters count data with over-dispersion such that the typical Poisson distribution does not suit the data.
Wararit Panichkitkosolkul, ch Ponkaew
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Differential Distributions: A refined methodology to indirect reference interval estimation by including Patient's health status according to associated ICD-10 codes. [PDF]
Schär D +6 more
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Robust Method for Confidence Interval Estimation in Outlier-Prone Datasets: Application to Molecular and Biophysical Data. [PDF]
Golovko VV.
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The generalized renewal process considers repair efficiency of imperfect repair in reliability assessment of repairable systems; therefore, its evaluation results are close to real repair circumstance than the ordinary renewal process or the non ...
Zhiming Wang, Rong Pan
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Interval Forecast of Photovoltaic Power Output Based on GAN
Accurate photovoltaic ( PV) power output forecast is the basis of ensuring safe and economic operation of the grid with high ratio of PV power. To solve the problem that point forecast is difficult to express the probability credibility,an interval ...
GU Yong-tao +6 more
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The Combined-Unified Hybrid Censored Samples from Pareto Distribution: Estimation and Properties
In this paper, we use the combined-unified hybrid censoring samples to obtain the maximum likelihood estimates of the unknown parameters, survival, and hazard functions of Pareto distribution.
Khalaf S. Sultan, Walid Emam
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Study on the Determination Method of Cast Blasting Stockpile Forms in an Open-Pit Mine
Cast blasting–dragline stripping technology is the most advanced mining technology used in open-pit mines. For a long time, however, its precision has been hindered.
Zhao Zhang +6 more
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Undergraduate students’ errors on interval estimation based on variance neglect
Interval estimation is an important topic, especially in drawing conclusions on an event. Mathematics education students must possess the skill to formulate and use interval estimation.
Budi Murtiyasa +2 more
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