例句與造句

1. Optimal experimental designs for the generalized multivariate linear model
   廣義多元線性模型的最優(yōu)設計
2. Posterior likelihood ratio tests for multivariate linear model based on normal - inverse wishart prior
   先驗信息下多元線性模型的后驗似然比檢驗
3. Extension of the uniformly minimum variance unbiased estimation of a class of multivariate linear model
   一類多元線性模型的一致最小方差無偏估計的推廣
4. Admissibility of linear estimation of multivariate linear model with respect to a restricted parameter set
   帶有不完全橢球約束的多元線性模型中線性估計的可容許性
5. The general growth curve model is a more generalized multivariate linear model that is widely applied in biology , technology substitutions and economic forecast , ect
   一般增長曲線模型是更為廣泛的線性模型，這一模型在許多領域如生物學、醫(yī)學、工藝替代、經(jīng)濟預測等方面都有重要應用
6. It's difficult to find multivariate linear model in a sentence. 用multivariate linear model造句挺難的
7. For the general multivariate linear model , in this paper , the necessary and sufficient condition for admissibility of the linear estimator for sx in the class of linear estimator under different criteria is gained
   摘要對于一般未知方差多元線性模型，討論了共同均值矩陣參數(shù)的可估函數(shù)sx的線性估計在線性估計類中的可容許性問題，證明了在本文所給的不同優(yōu)良準則下可容許性是等價的，并得到了它們的充要條件。
8. Based on the comprehensive analysis of the road traffic flow ' s characteristics due to the bus stop without bus bay , the multivariate linear models of the speed and the headway are formed with the variables of the stop frequency , the stop time , the overall length of the stop and its reserve time of the bus and the vehicle flow applying the software of excel , and then the strict mathematical checks are made
   文章首先比較全面地分析非港灣式公交停車影響下道路交通流特徵，然后借助于excel軟件，構建關于公交停車頻率、公交停車時間、最大公交停車長度及其存在時間、道路流量的車速和車頭時距多元線性模型，并進行了嚴格的數(shù)學檢驗。
9. One is to derive the optimal prediction and the other is to find its necessary and sufficient conditions . there is , however , a more design matrix in this model than is in multivariate linear model , which has caused difficulties such as solving a exceptional unlinear matrix equation groups especially when deriving the optimal prediction
   但是因為一般增長曲線模型比多元線性模型多一個設計陣，這就給研究帶來了很大的困難，特別是在求解模型的最優(yōu)預測時，遇到了一類特殊的非線性矩陣方程組，所以在一般情況下我們既無法求出模型的最優(yōu)預測，也無法找到存在最優(yōu)預測的充要條件