| Statistics is a practical subject. It concerns the collecting, processing and analyzing the related data, gives presumptions and predictions to it's objects, and provides suggestions to decision-makers. Actually, where there is a great deal of data, there exists a chance for the utilized the field of statistics. In addition, as we all know it's feasible to process the data by computer, that is the itegration statistics and computer is popular, and the intigration improves the development of the statistics.Therefore, statistics can be unexceptionally utilized in the field of stock investmen. However, statistics is more often used in technical analysis than in elementary analysis. Technical analysis deals with short-run transaction of stocks while elementary analysis concerns the evaluation of certain stocks; elementary analysis focuses on the intrinsic value the stock, as a result, its concerns are the macro economy, the middle economy and the micro economy and so on. A rational 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 thestock Investments. The industry analysis or the company analysis is based on thefinancial data, which contain the financial report and their notes of the listed companies.The multi-dimensional on-line financial data analysis (MOLFDA) are based on the financial data, applying the data process technology by computer and statistics methods, backed up the multi-dimensional on-line data analysis (MOLDA) . It can realize the elementary analysis, such as industry analysis and the company analysis; furthermore it can analyze the financial data from the area dimension and the market dimension, even any tow or all of them.This paper contains three parts: preface, text and conclusion. The text includes four chapters; they are the mains of the whole paper.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 therealistic 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, it introduces the multi-dimensional on-line data analysis technology, such as its concept, characteristics and construction. Then it points out the design of the multi-dimensional on-line data analysis is important, which includes the design of the "business space" and the design of the "analysis methods".Chapter tow, it is the design of the "business space" of the MOLFDA. At first introduces the theory and the concepts, then it projects the "business space" of the MOLFDA, projects the measures and the dimensions; at last build the multi-dimensional data clubes.Chapter three, it is the design (one) of "analysis methods" of the MOLFDA. Through a great deal of tables it explains some simple analysis methods, such as the inventory analysis, simple contrary analysis and so on.Chapter four, it is the design (tow) of "analysis methods" of the MOLFDA. It mainly projects the comprehensive evaluation of the multi-index for the financial analysis. The core of the comprehensive evaluation is the determination of the weighting coefficients. After explaining the based theory overall, it determines theweighting coefficients by objective method-the improved analytic hierarchyprocess (IAHP) , and subjective method-the primary component analysis(PCA) , respectively. The comprhensive evaluation for the companies of the harbor 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 for the comprehenvie evaluation, which based on the IAHP and the PCA has been pointed out in this chapter. At last, the comprehensive evaluation r... |
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