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Environmental control and life support system(ECLSS) of the manned spacecraft is an important system to guarantee the safety and life support of the astronauts and the environment inside the space station. For the physicochemical regeneration type of ECLSS(PRLSS), because of its complicated physicochemical process, to analyze and evaluate the mass balance and operation performance through simulation...
Engine testing technology has made great development and gathering the engine data of failure becomes more and more easily. The engine fault recognition method based on data driving has made rapid development. The support vector machine (SVM) is currently a well-known machine learning technique. It has been applied to deal with range of fault recognition problems due to its unique advantages. There...
Cox proportional hazard model is one of the most celebrated models for analyzing lifetime data. There exists one problem when we replace the covariate effects with varying-coefficient functions. That is whether this replacement is reasonable or partially reasonable. In this paper, we propose a hypothesis testing based on the asymptotic distribution of the normalized maximum deviations, for this problem,...
The data generated by scientific simulation, sensor, monitor or optical telescope has increased with dramatic speed. In order to analyze the raw data fast and space efficiently, data pre-process operation is needed to achieve better performance in data analysis phase. Current research shows an increasing tread of adopting MapReduce framework for large scale data processing. However, the data access...
Generalized linear models (GLM) are discussed in this paper, which are used widely in the field of robust parameter design involving non-normal response variables. As for the estimation problems such as data over-dispersion which exist generally in robust parameter design, the Markov chain Monte Carlo (MCMC) approach based on adaptive rejection metropolis sampling algorithm is brought forward to simulate...
It is well known that the classical regression analysis, especially parametric regression analysis, is one of the important methods of extracting information from data sets. A family of regression functions, called fuzzy c-regression models (FCRM), has been presented which can be used to characterize the linear relationship to certain types of mixed data. More generally, an effective and robust method,...
A new stochastic stock price model of stock markets based on the contact process of the interacting particle systems is presented in this paper, where the contact model is a continuous time Markov process, one interpretation of this model is as a model for the spread of an infection. Through this model, the statistical properties of Shanghai stock exchange (SSE) composite index are studied. In the...
The statistical analysis of Chinese stock market fluctuations modeled by the interacting particle systems has been done in this paper. The contact process of the interacting particle systems is presented in this paper, where it is a continuous time Markov process, one interpretation of this model is as a model for the spread of an infection. Based on the contact process, a new stochastic stock price...
Linear auto-regression moving average with extra input (ARMAX) model for air temperature system in a naturally ventilated greenhouse was developed. Outside air temperature, relative humidity, global solar radiation and wind speed were used as disturbing input variables of the model, while inside temperature was used as output variable of the model. Based on energy and mass flows equations, statistic...
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