Monitoring microbiological behaviors in water is crucial to manage public health risk from waterborne pathogens, although quantifying the concentrations of microbiological organisms in water is still challenging because concentrations of many pathogens in water samples may often be below the quantification limit, producing censoring data. To enable statistical analysis based on quantitative values, the true values of non-detected measurements are required to be estimated with high precision. Tobit model is a well-known linear regression model for analyzing censored data. One drawback of the Tobit model is that only the target variable is allowed to be censored. In this study, we devised a novel extension of the classical Tobit model, called the \emph{multi-target Tobit model}, to handle multiple censored variables simultaneously by introducing multiple target variables. For fitting the new model, a numerical stable optimization algorithm was developed based on elaborate theories. Experiments conducted using several real-world water quality datasets provided an evidence that estimating multiple columns jointly gains a great advantage over estimating them separately.

Multi-Target Tobit Models for Completing Water Quality Data

Under the background of national and local economic development entering into the new normal, financial graduates are facing great employment pressure, but also facing opportunities and challenges. Financial graduates are senior talents in China’s economic and social development and an important part of national talent resources. The employment quality is directly related to the realization of its own value and social value. Based on this, this paper studies the evaluation method of financial graduates' Employment Efficiency Based on DEA Tobit two-stage method. It is beneficial to optimize the allocation and utilization of social human resources, to solve the employment problem of financial graduates, to improve the training quality of financial graduates, and to strengthen the management of human resources of employers. Based on the DEA Tobit two-stage model, this paper quantitatively analyzes the employment efficiency and its influencing factors of financial graduates by combining qualitative and quantitative methods. Through the construction of financial graduates employment quality evaluation index system and evaluation model, this paper studies the composition characteristics, change trend and influencing factors of financial graduates' employment quality, and puts forward targeted employment guidance suggestions for Commission Financial graduates.

Xiaoli Luo

Papers

Research on Employment Efficiency Evaluation of financial graduates based on DEA Tobit two stage method