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BACKGROUND: Sub-health state is a low-quality status between health and disease. The aim of this study was to determine which factors and/or combination of factors could be predictive of sub-health state in female as using random forest method. METHODS: Data were collected through a clinical epidemiology survey and obtained 2992 cases (2507 cases were in sub-health state and 485 cases were in health),...
Effective management of knowledge intensive yield analysis plays a significant role in fast yield ramping for semiconductor manufacturing. Although data analysis platforms with many analysis function tools are available to the industry, there is lack of systematic representation of engineering knowledge for effective extraction and sharing; engineers' identification of situations and analysis purposes...
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...
This paper surveys the empirical evidence on causal effects of college education on earnings for China and compares alternative studies in the light of their underlying identifying assumptions. Recent data from a national survey, the Chinese Health and Family Life Survey (CHFLS), provide the empirical basis for the application of mathematical models for the return to college education. In the empirical...
This paper formulates a game theoretical model of urban land auctions with incentive contracts. The auction is organized by the government seeking to exercise control over house prices. The firm type, a parameter that reflects efficiency of a firm, is private information to all firms, and utility functions of participants take general forms. This paper shows that the Bayesian Nash equilibrium firm...
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...
Effective management of knowledge-intensive yield analysis plays a significant role in fast yield ramping. Over the problem domain of fault symptom identification in semiconductor yield anlaysis, three mechanisms are designed in this paper to extract the knowledge of engineers. The mechanisms include Unified Resource Model-based purpose and tool mapping for linking engineers' analysis purposes to...
With the development of computer and network communication technology, substation comprehensive automation system has been widely applied in power network, thus power dispatching center can collect and monitor a lot of power network operation information. How to draw useful diagnosis rules from history and real time operational state data of power network, how to use these rules to find important...
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