Multi-statistical analysis of correlation factor of objective differentiation of symptoms and signs of stagnation of damp-heat in middle-jiao syndrome of chronic viral hepatitis B.;

Multivariate statistical analysis of the major chemical compositions of Ru Official ware and Jun Official ware;

Applications of Multivariate Statistical Analysis on the Meta-evaluation of Class Teaching Quality Evaluation System;

Study of Multivariate Statistical Analysis Application for External Insulation Selection;

The e-quations of impacting force changing with nozzle inclinationangle, azimuth, coede position and jet velocity have beengotten by multivariate statistic analysis.

The principal component analysis in multivariate statistic analysis is used to optimize the sample set in data preprocessing of prediction models of error back propagation neural networks.

Conclusion: Authors believe that multivariate statistics analysis applied to fingerprint can be recommanded in the quality control of shenmai injection.

As an attempt, we have established the evaluating index system of driving adaptability, classified the drivers by the differences of their adaptability and built the distinguishing functions for new samples with multivariate statistics analysis methods.

Multiple statistical analysis, linear program and computer technology were used to obtain the optimum values and scheme of major meteorological factors affecting the quality components of different apple varieties.

【Method】Multivariate analysis was carried out by SPME/GC/MS to detect the major volatiles.

In order to determine formation porosity,we use multivariate analysis.

According to main index of national economy of 13 cities in Jiangsu province,we use the basic principles and methods of principal component analysis(PCA) in multivariate analysis to analyse the developmental status of economy of Jiangsu Province from the points of view of the whole and area economy.