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Association rule-based tool commonality analysis (ARBTCA) is an effective approach to identifying tool excursions for yield enhancement in semiconductor manufacturing. However, missing values which frequently occurred will lead to high rates of false positive and false negative. Incorrect identification of root cause of yield loss will lose engineer's trust on TCA and delay the process improvement...
A Bayesian Ranking Scheme is proposed for the reliable diagnosis of various yield-loss factors induced in semiconductor manufacturing. The aim is to cope with three problems: (FICV) false identification due to confounding variables, (FISV) false identification due to suppressor variables, and (MISC) miss identification due to severe multicollinearity. The proposed scheme reuses both the results from...
The main goal of this paper is to investigate the presence of jumps in Shanghai Inter-bank Offered Rate (SHIBOR), which is Chinese money market benchmark interest rate, and compare interest rate models of SHIBOR based on MCMC Method. Although SHIBOR has become an important interest rate, on which a lot of derivatives underlie, it is less studied. The Markov Chain Monte Carlo method is applied to analyze...
Since the reform of RMB exchange rate regime in 2005, RMB exchange rate is much more flexible and volatile. The status and influence of RMB are greater with the sustained growth of Chinese economy. This paper investigates the spillover effect of RMB exchange rate on other currencies, especially Asian currencies using the multivariate GARCH model. Finally, we give a few concluding remarks and some...
In general, credit-scoring models suffer from a sample-selection bias. This paper uses the bivariate probit approach to estimate an unbiased models scoring model. The data set with large commercial loans data provided by a commercial bank of China to estimate the model contains some financial and firm information on both rejected and approved applicants. In the bivariate probit model, we find a significant...
The central purpose of this article is to estimate the average treatment effect for students that attended colleges or universities on career outcomes. We compare the use of OLS regression and propensity score matching methods, and incorporate the role of ldquocommon support.rdquo Using data from the CHFLS Survey, we estimate career outcomes. Results suggest that the return to higher education has...
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