大学毕业论文-—上市公司财务数据多维联机分析设计.doc

Statistics is a practical subject. It concerns the collecting, processing and

analyzing of the related data, gives presumptions and predictions to it’s objects,

of data, there esists a chance for the utilized the field of statistics. In addition, as we

all known it’s feasible to process the data by computer.

investmen. However, statistics is more often used in technical analysis than in

analysis focus on the intrinsic value the stock, as a result, its concerns are the

stock investor should pay his attention to the stock’s intrinsic value at first, then to

the trend of its price. So, applying the theory and method of statistics to the

elementary analysis of stock’s investment is significant for the dissertation in the

stock investments. The industry analysis or the company analysis is based on the

financial data, which contain the financial report and their notes of the listed

companies.

the financial data, applying the data process technology by computer and statistics

the market dimension, even any tow or all of them.

In the preface part, based on the realistic requirements and the status quo of

the study. It fingers out the financial data analysis of the listed companies is the

realistic requirement of the stock investors. But the information concerning this

aspect is little, deficient and not on-line at present. The MOLDA technology is able

to improve these problems.

Chapter one, the multi-dimensional on-line data analysis technology. Mainly

introduces the concept, the characteristics and its construction. Point out the

design of the multi-dimensional on-line data analysis is important. It includes the

design of the “business space” and the design of the “analysis methods”.

multi-dimensional data clubes.

mainly projects the comprehend evaluation of the multi-index for the financial

analysis. The core of the comprehend evaluation is the determination of the

weighting coefficients. After explaining the based theory overall, it determines the

is studied in this chapter. Therefore, determining the weighting coefficients by

single method, either objiective method or subjective method is not perfect. The

integration method of determining weighting coefficients in the comprehend

evaluation which based on the IAHP and the PCA method has been pointed out in

programmers can develop and realize the multi-dimensional on-line financial data

analysis system easily. The study of this paper will help generalize the knowledge

therefore will demonstrate its great theoretical and pratical value for the

development of China’s stock market.