Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Yen-lung Huang"'
Autor:
Yen-Lung Huang, 黃彥龍
102
Three topics are discussed in this study: the liquid transfer phenomenon of water and glycerol between two plates, the liquid transfer phenomenon of polymer solution between two plates and micro-scale gravure offset printing with polymer sol
Three topics are discussed in this study: the liquid transfer phenomenon of water and glycerol between two plates, the liquid transfer phenomenon of polymer solution between two plates and micro-scale gravure offset printing with polymer sol
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/26337253727761444599
Autor:
Yen-Lung Huang, 黃彥龍
98
In this dissertation, we propose a new adaptive Type-I progressive hybrid censoring scheme. We follow the work of Childs et al. (2003) and Childs et al. (2008) to derive the exact distributions of the maximum likelihood estimator of the mean
In this dissertation, we propose a new adaptive Type-I progressive hybrid censoring scheme. We follow the work of Childs et al. (2003) and Childs et al. (2008) to derive the exact distributions of the maximum likelihood estimator of the mean
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/89832291675283455453
Autor:
Yen-lung Huang, 黃衍龍
95
The main aim of this study is to develop three dimensional models for micro flow-field plate of PEMFC and use numerical simulations to discuss the reliability of micro flow-field plate which works in real. A crack exists in the plate is loade
The main aim of this study is to develop three dimensional models for micro flow-field plate of PEMFC and use numerical simulations to discuss the reliability of micro flow-field plate which works in real. A crack exists in the plate is loade
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/8vaa7f
Autor:
Yen-Lung Huang, 黃彥龍
91
In this work we first discuss three different estimations, the maximum likelihood estimation (MLE), elemental percentile method (EPM) and modified method of moments (MMOM), for the parameters of the generalized Pareto distribution (GPD) under
In this work we first discuss three different estimations, the maximum likelihood estimation (MLE), elemental percentile method (EPM) and modified method of moments (MMOM), for the parameters of the generalized Pareto distribution (GPD) under
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/08544942309790983540
Publikováno v:
IEEE Journal of Quantum Electronics. 57:1-6
Characterization and structural design on monolithic stacked InGaN light-emitting diode (LED) are investigated numerically in an attempt to pursue multicolor light emission and wide spectral width. Crucial physical properties such as the energy band
Autor:
Yen-Lung Huang, Chien-Tai Lin
Publikováno v:
Journal of Statistical Computation and Simulation. 82:689-709
In this paper, we introduce a new adaptive Type-I progressive hybrid censoring scheme, which has some advantages over the progressive hybrid censoring schemes already discussed in the literature. Based on an adaptive Type-I progressively hybrid censo
Publikováno v:
Computational Statistics & Data Analysis. 56:451-467
Recently, progressive hybrid censoring schemes have become quite popular in life-testing and reliability studies. In this paper, we investigate the maximum likelihood estimation and Bayesian estimation for a two-parameter Weibull distribution based o
Publikováno v:
Journal of Statistical Computation and Simulation. 81:873-882
From the exact distribution of the maximum likelihood estimator of the average lifetime based on progressive hybrid exponential censored sample, we derive an explicit expression for the Bayes risk of a sampling plan when a quadratic loss function is
Publikováno v:
Communications in Statistics - Simulation and Computation. 39:1499-1505
Some corrections are made for the article mentioned above. These errors occured due to the floating errors in the computation of the Bayes risk which involves terms of large magnitude and opposite sign as sample size increases, that resulted in loss
Publikováno v:
IEEE Transactions on Reliability. 57:633-642
We present a simple method for testing goodness-of-fit based on type-II right censored samples. Applying the property of order statistics due to Malmquist, we can transform any conventional type-II right censored sample of size r out of n from a unif