Harmonic modelling and prediction of high speed electric train based on non-parametric confidence interval estimation method

Wind power curve of wind turbine has great importance in the prediction of wind power. The measured wind power curve is drawn by method of bins based on recorded field data; the uncertainty factors of the wind power curve is analyzed, and a non-parametric confidence interval estimation method is proposed based on analyzing the statistical characteristics of the data distribution. By means of the method, a probability density function model for wind power in each wind speed level is established, and the uncertainty estimation confidence interval of wind power curve is obtained on the basis of deterministic estimation. The example analysis proves the efficiency and feasibility of the method proposed in this paper.

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A Confidence Interval Estimation Method for Process Capability Index with Bias

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1039.622 ◽

2014 ◽

Vol 1039 ◽

pp. 622-626

Author(s):

Zai Fang Zhang ◽

Xiao Song Wu ◽

Rui Miao ◽

Bei Xin Xia

Keyword(s):

Confidence Interval ◽

Manufacturing Industry ◽

Research Work ◽

Estimation Method ◽

Interval Estimation ◽

Process Capability ◽

Process Capability Index ◽

Management Tool ◽

Capability Index ◽

Confidence Interval Estimation

Process capability index (PCI) has been widely applied in manufacturing industry as an effective management tool for quality evaluation and improvement, whose calculation in most existing research work is premised on the assumption that there exists no bias. In this paper, the bias of gauge which exerts an effect on the calculation of PCI is indicated inevitable. The influence on PCI caused by the bias is analyzed by constructing a comparative ratio R between the empirical process capability index and the PCI. A confidence interval estimation method is proposed to solve the underestimation problem of PCI.

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Confidence interval estimation of gamma distribution lifetime data using score and bootstrap methods

Desimal Jurnal Matematika ◽

10.24042/djm.v4i1.7737 ◽

2021 ◽

Vol 4 (1) ◽

pp. 93-100

Author(s):

Larasati Larasati ◽

Rudi Ruswandi ◽

Fitriani Fitriani

Keyword(s):

Confidence Interval ◽

Gamma Distribution ◽

Bootstrap Method ◽

Estimation Method ◽

Interval Estimation ◽

Likelihood Estimation ◽

Aircraft Engine ◽

Estimation Of Parameters ◽

Engine Cooling ◽

Confidence Interval Estimation

Confidence interval estimation of parameters determines the value interval, which is calculated based on statistical measurements and has specific estimates probability that contains the actual parameters. A method is needed to estimate the parameters' confidence interval, and the methods used are the Score method and the Bootstrap method. This study aims to estimate parameters by using the maximum likelihood estimation method and analyze the reliability of the aircraft engine cooling system's lifetime that follows the Gamma Distribution, and estimate the confidence interval of the parameters.

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