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The economic income effect, capital and labor substitution effect for energy consumption are analyzed in the paper by using panel data including 29 provinces in China from 1985 to 2007. Empirical analysis indicates that: (1) fixed effect model is relatively appropriate among mixed regression model, fixed effect model and random effect model. (2) influence of economic income on energy consumption is...
In order to optimize the capacity of farmers' income persistently increasing, in this paper we analyze 8 factors affecting farmers' income increasing using PLS model based on the statistical data of Heilongjiang reclamation from 2000 to 2008. The study shows that wage incomes, agricultural subsidy and tax reducing still account for a great proportion of farmers' net incomes, but the level of agricultural...
A performance degradation prediction method for multi-unit system with insufficient measurement data is proposed by integrating data recovering model, hidden Markov model and support vector regression (SVR) model. The development of the model includes three main parts. Part one, a principal component analysis (PCA) model is build based on normal state. Part two, a hidden Markov model(HMM) is trained...
Based on the statistical data during the period from 2003 to 2008 released by National Bureau of Statistics of China, this paper focused on forecasting the amount of the scientists and technicians in China, using GM (1, 1) model and regression model. The result of this empirical study is that the grey prediction theory can fit the scientists and technicians amount development precisely in China. The...
This paper use Microsoft SQL Server 2005 data mining tools and three methods of neural networks, decision trees and logistic regression to establish the financial crisis early-warning model of listed companies. The conclusion is that the three kinds of methods have good results and the prediction accuracy rate are 80% or more. The accuracy of the decision tree algorithm model is higher than others.
As for simulating Crown-Width Model, the traditional linear models often disregard the spatial component of data. However, estimating a local model reveals that the influence of the independent variables is inconstant over the whole study area. In this research, classic linear regression was reviewed, and Geographically Weighted Regression (GWR) method which belongs to local estimation was introduced...
Urban land use systems are complex systems with components, factors and agents from natural, environmental, social and economic systems. In this paper, we developed a remote sensing and GIS-based integrated approach to modeling and predicting spatially-explicit urban land use changes. The model was built using temporal remote sensing data land use analysis coupled with a Markov model and a spatial...
The linear regression model based on the ordinary least square (OLS) estimation is a commonly used method for crop yield predicting. But it is not adequate in many cases because spatial autocorrelation among variables may violate the underlying assumption that observations are independent. In this study, we compared the OLS regression model and the spatial autoregressive model for predicting corn...
A Cellular Automata mathematical model is proposed to analyze the depression spreading. A simulation is done and the results verified that the mathematical model is right and excellent. A linear regression model is presented to describe the relationship among prevalence rate of depression, incidence and cure rates. Principal Component Analysis conforms that any parameter is important in the linear...
Highway green landscape is an important part of the highway systems. Now freeway and multi-lane highway green landscape have been concerned, but two-lane highway green landscape has not been researched. Through analyzing the function of greening, this paper summarizes a research project that was to develop evaluation models for green landscape evaluation. The main evaluation indices considered are...
This paper researches the demand function of the per capita consumption of mobile voice service by fixed effect quantile regression model. Results show that both price elasticity and income elasticity vary between different consumption-level consumer groups. For low-consumption consumers, income is the most important factor that impacts their consumption, while the price of mobile voice service and...
This paper applies a simple multiple regression based model to analyze financial data. The model uses a dummy variable as the dependent variable which could be interpreted as a predictor. The independent variables of the model are quantitative as well as qualitative. The results of the analysis support the predictive capability of the model.
This paper compares the early-warning model of financial crisis home and abroad, using multiple logistic regression method to build an early warning model for enterprise financial crisis in e-commerce environment. Test results show that the model can accurately estimate the samples, and help control the samples. The accuracy rate of discriminate analysis of the model shows that the model has a good...
Based on the statistical data during the period from 1978 to 2006 released by National Bureau of Statistics of China, this paper applies the compensative GM (1,N) model and regression model to simulate the relationship between the expenditure for science & technology and economic growth. In the numerical experiment, the established grey model simulates the China's GDP values during the period...
In recent years, the equity ownership structure of the listed company has drawn the attention of the world. The paper introduces the nonfinancial indexes, for example equity ownership structure, to improve the financial early-warning study. Firstly, we have chosen 60 agricultural listed companies as the object of study. Secondly, we use the factor analysis method and SPSS15.0 software to establish...
In the process of career choices, the different individual has always different ways of reaction, so it becomes a hotspot of research for effective career decision. In the paper, 28 items and 9 variable of "career decision-making investigation" was designed for value orientation and career decision style of the1136 Chinese vocational education student and graduates, which conducted a questionnaire...
According to the principle of economy, the stock market will decline, if required reserve ratio (RRR) is set higher. As main macro-economic control, the RRR is one of tools which are often used. However, although the People's Bank of China adjust the RRR so frequently in the recently, the stock market didn't run as expectation. This paper is concerned with the phenomenon and analyzes the reason for...
This study analyzes the mortgage loans of five Taiwanese commerce banks to identify the key factors that influence prepayments and defaults. Using data from a total of 16,215 data entries of mortgage loans of five Taiwanese commerce banks in 2002 through 2007, this study first conducts logistic regression to analyze the behavior of prepayments and default. As far the overall predictability is concerned,...
This paper analyzes the relation between peer review and multi-indicators evaluation for scientific and technical assessment. Based on the data of the 2007 Times Higher-QS world university rankings, we use two methods, multiple linear regression analysis and kappa agreement test, for analysis. The results show that the data abundance affects the agreement between peer review and multi-indicators evaluation...
Public choice theory can better explain lower input-output efficiency of higher education and lower allocative efficiency of higher educational resources in different provinces of China, and modified quadriform model based regression analysis and discriminant analysis can better distinguish input- output efficiency of different educational units and important associated characters of high efficiency...
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