estimation of parameter造句

• Interval estimation of parameter in binomial distribution
  二项分布参数的区间估计
• Point estimation of parameter in binomial distribution
  二项分布参数的点估计
• Estimation of parameter in poisson distribution
  泊松分布参数的估计
• Admissible estimation of parameter in restricted space under squared - error loss
  限制空间中的参数在平方损失下的容许估计
• Statistical interpretation of data - estimation of parameter in poisson distribution
  数据的统计处理和解释泊松分布参数的估计
• Statistical interpretation of data - point estimation of parameter in binomial distribution
  数据的统计处理和解释二项分布参数的点估计
• Statistical interpretation of data - interval estimation of parameter in binomial distribution
  数据的统计处理和解释二项分布参数的区间估计
• ( 3 ) derive a way to get the point estimations of parameters under normal working condition stress
  ( 3 )给出了求正常工作应力下参数点估计的方法。
• ( 2 ) focus on the point estimation of parameters under type - life testing based on step - increasing data
  ( 2 )研究了逐次型截尾场合下参数的点估计。
• ( 3 ) the point estimations of parameters under the constant stress and step - stress accelerated life testing are derived in this part , respectively
  ( 3 )恒定应力、步进应力加速寿命试验下参数的点估计。
• The confidence interval ( c . i . ) of unknown parameter represents the range of the value and the reliability about estimation of parameter
  未知参数的置信区间表示该参数的取值范围及其可信程度，置信区间的长度表示区间估计的精度。
• ( 2 ) the point estimation and interval estimation of parameters under type - censored case and the point estimation of parameters based on the missing data and grouped data are obtained , respectively
  ( 2 )定时截尾场合下参数的点估计和区间估计以及缺失数据和分组型数据埸合下参数的点估计。
• For example , the weakness in metals etc . caused by repeated stress . this article gives the point estimation of parameters based on tampered failure rate model for weibull distribution under step - stress accelerated life testing
  本文是针对损伤失效率模型( tfr )模型就weibull分布产品在步进应力加速寿命试验下研究了参数的点估计。
• About and of two normal distribution and of gamma distribution . when sample size is not large , conclusion shows that the precision of the interval estimation of parameter is remarkably increasing if the data from tables in this paper are used
  通过计算比较，得出结论：在小样本的情况下，用本文所求的置信区间作为未知参数的区间估计将会使估计精度得到显著的提高。
• Furthermore , unlike other algorithm , it is free of the definition of weight and estimation of parameters in order to get a realistic image , it is necessary to do processing works , such as transform of plot , hidden - line elimination , illumination , texture mapping , to the 3d models constructed through interpolation
  通过插值建立它的三维模型后，要得到真实感图像，还必须对三维模型施以绘图变换、消隐、光照、纹理映射等处理。
• The main results are listed as follows : ( l ) we present the inverse moment estimations and approximate maximum likelihood estimations of parameters , and then we examine the accuracy of the amle , mle and interval estimations . moreover we derive the method to get interval estimation of the shape parameter
  主要结果如下： ( 1 )给出了参数的近似极大似然估计( amle )和逆矩估计，比较了amle 、 mle和逆矩估计的精度，另外给出了求形状参数区间估计的方法。
• ( 1 ) after giving the various methods for getting the point estimations of parameters based on the type - censored data . we do the comparison of the accuracy of all these point estimations . in the portion , the pivotal quantity used to get the approximate interval estimation of parameters is also derived
  ( 1 )给出求定数截尾数据埸合下参数的点估计的多种方法，比较了各种点估计的精度；构造了求参数近似区间估计的枢轴量，并通过模拟说明本文方法是可行的。
• These years wavelet theory has been widely applied in underwater signal processing . whereas its excellent time - frequency localization , this dissertation takes continuous wavelet transform ( cwt ) as research tool and devoted to systematic research and deep exploration of two aspects in underwater signal processing field - estimation of parameters and target classification and identification
  近年来小波分析在水下信号处理方面的应用得到了长足的发展，鉴于其良好的时频局部化特点，本文将基于连续小波变换的时频分析作为工具，就参数估计和目标识别两方面的问题做了系统研究和深入探讨。
• Abstract : since the multiple failures situation is not uncommon in the clinical medicine , we explore the use of proportional odds model to the multivariate interval - censored data . the approach is based on the conditional logistic regression , which prevents the complications in the existence of nuisance parameters . the estimation of parameters is obtained by the newton - raphson algorithm . the sandwith estimator for the covariance is made according to the situation where there is correlation in the score statistic . simulations are also presented to assess the accuracy of the procedure
  文摘:探索比例优势模型在临床医学中常见的多结局区间截断数据中的应用.用条件的逻辑回归方法避免讨厌参数的估计,用牛顿-拉普森算法估计回归系数,用"夹心方差"估计量作为参数方差的估计.通过随机模型检验模型应用的有效性
• We also obtain the bayes estimators of the burr type ii distribution parameter , and we give a simple approximation . 3 . we obtain a kind of approximation of the likelihood function , and we show that the approximation is equivalent to the exact one when the sample size is large . based on this approximation , we obtain the approximate maximum likelihood estimation of parameters of logistic distribution
  在多重型删失数据场合，讨论了logistic分布参数的近似极大似然估计，对得到的近似似然函数，在大样本场合，证明了它以概率1收敛于原似然函数，基于此近似似然函数获得了logistic分布参数的近似极大似然估计。