| 1. | The related coefficient between pollen , seed setting density and 1000 - seed weight is 0 . 1242 , - 0 . 0686 and - 0 . 1293 , respectively , but it is not significant 花粉粒大小、结实密度和千粒重之间的相关系数分别为0 . 1242 、 - 0 . 0686和0 . 1293 ,说明它们之间有一定的相关性,但相关不显著。 |
| 2. | This paper use experimental data to set up linear regression equation with unitary and regression straight line , to use variance analysis and related coefficient to test validity of equation 摘要本文利用实验数据建立一元线性回归方程;回归直线,并用方差分析法和相关系数法检验方程的有效性。 |
| 3. | Ditlevsen theories boundary ; at the same time it simplifies the reliability calculation about the complicated mechanical system , solve the academic difficulties about multi - calculus compute and related coefficient calculation Ditlevsen理论界限之内;简化了实际复杂机械系统可靠性的可靠度计算,解冰了多重积分和相x性计算1理论难题。 |
| 4. | By test data , variation of water head damage in filter lager and quantify of intercept filth in filter lager , filter cycle , analyse research of filter relation and data count by computer . i reach a mathematics relation among related coefficients 通过实验数据,对滤层水头损失的变化,滤层截污量,截污滤层阻力增长及过滤周期、滤速关系进行了分析研究,并利用计算机进行了数据统计,得出相关参数之间的数学关系。 |
| 5. | In chapter 4 , mathematical theory about related coefficient and fitting of straighten anti - curve line is introduced at the beginning of this chapter , then how to program to calculate related coefficient is introduced including discussing the appearance of straighten anti - curve line in bitmap , searching the ends of straighten anti - curve line , calculating the angle bitmap should be turned , calculating related coefficient after bitmap has been turned 第4章首先介绍了有关相关系数以及直线拟合的数学理论,然后阐述了求解逆直线相关系数的编程思路,其中包括对逆直线在位图中摆放方式的分类讨论、逆直线端点的搜索、求解旋转角度、旋转后求解相关系数等几个环节。 |
| 6. | This method takes the second generation wavelet transformation as a base , using the interrelation between transformation sample and adjacent sample to detect partial feature of the signal , and according to the magnitude of related coefficient to define the optimal pre detector and re - newer of every sample in every dimension , so as to let the wavelet be able to suit fairly the partial feature of the signal 该方法以第二代小波变换为基础,用变换样本与相邻样本之间的相关性,来检测信号的局部特征,并根据相关系数的大小,来确定每一尺度上的每个样本的最佳预测器和更新器,使小波能够较好地适应信号的局部特征。 |
| 7. | Results showed : ( 1 ) if the proportion of water in the soil is lower than wilting coefficient , and if irrigating water is very little , ( irrigating water is spreading horizontally and vertically ) the relationship between the horizontal width ( x ) and the ? rtical depth ( y ) is remarkable . the equation is y - 0 . 02 12x2 + l . 8546x - 17 . 88 . the related coefficient is r = 0 . 9350 结果表明: ( 1 )在土壤含水量低于萎蔫系数的干燥条件下,进行微量穴滴灌,滴灌点土壤湿润面直径x与最大垂直面渗透深度y呈显著相关,数学模型为: y = - 0 . 0212x ~ 2 + 1 . 8546x - 17 . 88 ,相关系数r = 0 . 9350 ( 2 )在微量补水灌溉情况下,只有灌水量大于4000ml /穴,才能使滴灌水渗透到20cm以下土层,达到作物根系集中层,否则水分很难被作物吸收,造成滴灌水的浪费。 |
| 8. | This part concentrates on the analysis of the demand and price index in the container shipping market by means of forecasting and decision technology , and also a fitting forecasting analysis of the container transportation volume in shanghai port and china export container freight index ( cecfi ) , etc , by means of the multi - elemental dynamic related coefficient and the rbf neural network 第二部分,运用预测决策方法对集装箱航运市场的主要供需和运价指数进行研究分析,利用多因素动态相关系数法和rbf (径向基)神经网络预测法等技术分别对上海港集装箱运量和中国出口集装箱运价指数等进行拟合预测分析。 |
| 9. | 2 , states the complicated relativity in the mechanical system , then bases on the model of stress - strength interference , present that the relativity of between the stress and the strength of the parts is weak and the differences of the relativities of parts and the failure modes of part , and how to compute the related coefficient of parts and the related coefficient of the failure modes of part 2 、阐述了机械系统中复杂的相关性,以应力?强度相干理论模型为基础,指出机械零件的应力和强度之间不完全独立,以及零件失效模式之间的相关系数和机械系统中零件之间的相关系数求解,界定了零件之间的相关性和零件的失效模式相关性的区别。 |
| 10. | This paper uses some of the contents of econometrics , including computations and proving of related coefficients and monadic linear regression analysis methods to analysis the degree of association between the various circumstances for the prosperity in each industry in china and the performance of related industries in the stock market as well as the industry indexes . through conducting this type of analysis , the paper , hopes to provide the investors in china with some definite assistance in their allocations to the various industries during the course of stock investments 本文利用计量经济学中的一些内容,包括相关系数的计算及检验、一元线性回归分析方法来分析近年来我国各行业的景气情况与相关行业在证券市场的表现即行业指数的运行之间的关联度,并旨在通过这一分析为我国的投资者在证券投资的过程中所进行的行业配置工作提供一定的帮助。 |