Considering different influences of non-transactional variations on different stock price indexes, all kinds of amendment methods of non-weighted stock price index and weighted composite stock price index are proposed and compared.

Then we investigate a theorem for weighted complete convergence though this theorem for non-weighted complete conver- gence. We improve the obtained results of others.

Results indicated that 25 parent varieties (lines) could be divided into six groups by UPGMA (un-weighted pair group mathematics average) clustering based on GD. SI-1300 and SI-1320 could be singly clustered into onegroup, respectively. Male varieties from China could be divided into another group.

Unweighted pair oroop method, Unweighted Pair Oroop Method usingarithmetic Averagr method (UPGMA) and neighbor-joining method (NJ) were used to analyze the variation between breeds through calculating genetic heterozygosity, polymorphic information content (PIC), effective alleles number, Nei's genetic distance.

The phylogenic tree was constructed in PHYLIP(2000)and MEGA(2.1) software using both unweighted pair group method witharthmetid mean and aximum parsimony methods.

The analysis of the genetic similarities showed that the Nei's similarity indexes of various genotypes ranged within 0. 438 6-0. 893 6,averaging at 0. 766 8. Their genetic dendrogram were drawn by UPGMA, which indicated that the twenty-three varieties could be classified into 3 groups.

The software of NTSYS pc version 1.80 was used to calculate Jaccard's genetic similarity coefficients, and two dendrograms were constructed by the unweighted pair group method of arithmetic average (UPGMA) on the basis of the similarity coefficient matrices.

Then a dendrogram was constructed from the matrix of genetic distances using the STATISTICA software (4.5 version) and UPGMA (Unweighted Pair-Group Method using the Arithmetic Averages).

No relationship was found between litter size and latitude using non-weighted regression.

Continuous and categorical observer agreements were tested by Bland and Altman and extended (κe) or non-weighted kappa (κ) and correlated with percentual VCT to predict observer agreement.

Numerical comparisons between the weighted schemes and the non-weighted schemes have been done for scalar equation, one-dimensional Euler equations, two-dimensional Navier-Stokes equations and parabolized Navier-Stokes equations.

The results show that frequency-weighted algorithms are responsive to both particle velocity and concentration, whereas non-weighted algorithms respond to concentration only.

The estimated root mean square errors (RMSE) of both methods are smaller than the non-weighted standard deviation.

An un-weighted pair-group method using arithmetic averages (UPGMA) indicated a high level of diversity in the pathogen isolates (51 lineages of Xoo at a 70% similarity level).

Un-weighted pair group method with arithmetic mean (UPGMA) based cluster analysis generated two clusters at 56% similarity value.

The accessions clustered into two groups, the modern varieties and the landraces by the un-weighted pair-group method using arithmetic average (UPGMA).

The accessions clustered into two groups, the modern varieties and the landraces by the un-weighted pair-group method using arithmetic average (UPGMA).

Based on then -tuple method and the weighted training principle,the weighted adaptive pattern recognition system is proposed in order to overcome the disadvantages of the simple training strategy used in the typical adaptive patternrecognction system——WISARD. Tt can eliminate the pseudo-feature automatically,emphasize the inherent feature oftraining patterns, improve the recognition performance. In this paper is presented for the first time the mathematical description of the weighted adaptive pattern recognition...

Based on then -tuple method and the weighted training principle,the weighted adaptive pattern recognition system is proposed in order to overcome the disadvantages of the simple training strategy used in the typical adaptive patternrecognction system——WISARD. Tt can eliminate the pseudo-feature automatically,emphasize the inherent feature oftraining patterns, improve the recognition performance. In this paper is presented for the first time the mathematical description of the weighted adaptive pattern recognition system. The training and classifying procedures are expressed abstractly as the matrix transformation for patterns. The classification behaviour of the system is determined by the logical function matrix, which are built by the training patterns. Some preliminary properties of the system are also discussed in the paper. It is indicated that the recognition performance of the weighted system is much better than that of the non-weighted system if the weighted training thresholds are selected reasonably. Both uppper and lower bounds of the weighted training threshold are also given at the end of the paper.

This paper introduces the major methods of the international comparison used by the international organizations and scholars, especially. the method of using the index of social progress to define the status of China in Asia in 1980 and 1986. The methods of unweighted and weighted aggregation are used to calculate the index of social progress of each country. In computing weighted index of social progress, weighting factors are given by principal component analysis for avoiding personal subjective factors. and...

This paper introduces the major methods of the international comparison used by the international organizations and scholars, especially. the method of using the index of social progress to define the status of China in Asia in 1980 and 1986. The methods of unweighted and weighted aggregation are used to calculate the index of social progress of each country. In computing weighted index of social progress, weighting factors are given by principal component analysis for avoiding personal subjective factors. and improving accuracy. The status of China in Asia were placed at the 13th position in 1980, and the 12th in 1986 based on the method of unweighted computation, while the 16th in 1980, and the 12th in 1986 based on the method of weighted computation.

What is introduced in this paper is focused upon the microcomputerized realization of a newly-designed algorithm and a creatively-compiled program.With which the planar four-bat linkage synthesis can be accomplished by the generalized mechani,mtransfer method. With the application of both the generalized mechanism transfer method and the presented algorithm,the three basic problems pertaining to the kinematic synthesis of the planar linkage can be unified methodically. Among such problems are the precise and...

What is introduced in this paper is focused upon the microcomputerized realization of a newly-designed algorithm and a creatively-compiled program.With which the planar four-bat linkage synthesis can be accomplished by the generalized mechani,mtransfer method. With the application of both the generalized mechanism transfer method and the presented algorithm,the three basic problems pertaining to the kinematic synthesis of the planar linkage can be unified methodically. Among such problems are the precise and the approximate synthesis,the weighted and the non-weighted average in a sense of the least square devation. Scveral examples are given and the results indicate that it is not only convenient and exact.but also practical to make solutions by combining the generalized mechanism transfer method with the method derived by the author.