- 更多网络例句与小样本相关的网络例句 [注：此内容来源于网络，仅供参考]
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Traditional statistics is mainly conducts the research to the sample number approach in the infinity time evolution theory, but counts the theory of learning is conducts the research to under the small sample condition theory of learning.
传统统计学主要是对样本数目趋近于无穷大时的渐进理论进行研究，而统计学习理论则是对小样本条件下的学习理论进行研究的。
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Some small sam-ple and large sample superiority of this estimate such as the unbiasedness,convergence,asymptotic normality and the property of simulation,are obtained.
我们得到分块拟回归的小样本和大样本性质，如无偏性、均方收敛性、强收敛性和渐近正态性，并讨论了曲线拟合的性质。
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Describes general methods of point and interval parameter estimation and the small and large sample properties of estimators: method of moments, maximum likelihood, unbiased estimation, Rao-Blackwell and Lehmann-Scheffe theorems, information inequality, asymptotic relative efficiency of estimators.
点估计和区间估计的一般方法，估计量的小样本和大样本性质：矩法，极大似然估计，无偏估计，Rao-Blackwell 和 Lehmann-Scheffe 理论，信息不等式，渐进相对有效估计量。
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Maximum likelihood, unbiased estimation, Rao-Blackwell and Lehmann-Scheffe theorems, information inequality, asymptotic relative efficiency of estimators.
点估计和区间估计的一般方法，估计量的小样本和大样本性质：矩法，极大似然估计，无偏估计，Rao-Blackwell 和Lehmann-Scheffe 理论，信息不等式，渐进相对有效估计量。
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This article estimates the extreme loss distribution with extreme value theory, estimates the shape parameter with HKKP estimator, which is unbiased to small sample data, selects the right threshold by selecting smallest mean square error of the estimated cumulative distribution function and empirical cumulative distribution function and based on the extreme value theory method, this article estimates the extreme loss distribution and the p-percentile operational loss under certain believe range for Chinese commercial banks, then calculates the operational risk supervise capital.
本文利用极值理论对中国商业银行操作损失极端值分布进行估计，针对尾参数估计的来用传统Hill佑计对小样本数据容易产生偏倚的情况，提出了采用Hill佑计的改进―小样本无偏估计的HKKP佑计来估计操作损失的尾参数，针对由于阈值确定不准确导致结果偏差大的情况，采用最小化估计的累计概率分布与经验累计概率分布平均平方误差的方法确定较精确的阈值，估计出给定置信水平下操作风险损失的分位数，从而使得中国商业银行操作风险监管资本的测定成为可能。
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The method can be applied to other small sample experiment of simulation systems with HWIL for homing missile and governable variable systems.
通过对半实物仿真系统的大样本和小样本对比实验，证明该方法的统计结果与大样本统计结果非常接近。
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The FHS-SVM based on the structural risk minimization criterion can solve the small sample learning problem, which can get a good shallow buried target and clutter classification performance with only shallow buried target training samples to obtain the parameters of hypersphere. Furthermore, the factors of misclassification risk and bury environment diversity are combined into the discriminator study procedure using the fuzzy membership of training samples, which improve the practical value of the FHS-SVM in shallow buried target discrimination.
FHS-SVM基于结构风险最小原理，在有效解决小样本学习问题的同时，只需要浅埋目标训练样本就能优化超球面参数，获得较好的浅埋目标和杂波分类性能；并且利用训练样本的隶属度将误判风险和埋设环境多样性等因素融入鉴别器学习过程，提高了FHS-SVM浅埋目标鉴别算法的实用性。
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Based on the order statistic theory,the interval estimation of sample extremes on large and small samples is given.
本文从次序统计理论出发，建立了该样本的极大值与极小值的区间估计算法，并对大容量和小容量样本的情况分别进行了讨论，获得了在小样本情况下可用母体均匀分布获得的结果来估计样本极值区间的结论。
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By using testing functions to make comparative research on the precision of approximate models which were built by RBF under the condition of different sample amounts and different kernel function types, a conclusion was drawn: the model quality built by Reciprocal Multiquadric RBF as kernel function was highest when the sample amout was big, and the model quality built by Gaussian RBF as kernel function was highest when the sample amount was small.
运用测试函数对在不同样本数量与不同核函数形式下所建立的近似模型的精度进行对比研究，得出逆多二次函数与高斯函数作为核函数分别在大样本和小样本情况下精度最高的结论，并验证了径向基函数近似模型方法能够兼顾效率与精度。
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And has done the tired life test of the hypoid gear. As the samples of the test data of gear life test is very few, the author has made the error model of tes tinghypotheses when using k-s method, the auther presented a testing hypotheses method which can make use of the information of the samples and reduce the error of probability Calculation. It is Called"the improved K-s method". The author has used this method to deal witch the life test datas and the result is identical with the result of the theoretical calculation.
为对锥齿轮进行疲劳寿命试验，结合其它科研项目，研制了多功能数控齿轮传动试验台，并在该试验台上以SC110锥齿轮为试件进行了疲劳寿命试验，针对齿轮寿命试验数据一般样本很少的情况，建立了用K—S法进行分布律假设检验的误差模型，并提出了一种能充分利用样本信息，大大提高检验精度的小样本分布假设检验的新方法——改进的K—S法，并用该法对寿命试验数据进行了处理，得到了与理论分析计算一致的结论。
- 更多网络解释与小样本相关的网络解释 [注：此内容来源于网络，仅供参考]
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small inductive dimension：小归纳维数
small circle 小圆 | small inductive dimension 小归纳维数 | small sample 小样本
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smallest order statistic：最小顺序统计量
小样本抽样理论 small sampling theory | 最小顺序统计量 smallest order statistic | Smirnov检定 Smirnov tests
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small sample：小样本
几年前,丹麦电话公司(the Danish telephone company)是第一个雇用不管这事真实与否,美国统计学家哈罗德.霍特林(Harold Hotelling)的回忆录里清楚地戈塞特所专注的特定问题是小样本(small sample)问题.
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small sample：小包货样,小样本
small salivary glands 小唾液腺 | small sample 小包货样,小样本 | small sample method 小样本法
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small sample problem：小样本问题
skewness 偏度 | small sample problem 小样本问题 | smooth 平滑
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small sample theory：小样本理论
small sample technique 小样本法 | small sample theory 小样本理论 | small self 小我
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small sample technique：小样本技术
卫生教育 health education | 小样本技术 small sample technique | 小腿一足长指数 lower leg-foot index
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small sample properties：小样本性质
small sample bias 小样本偏误 | small sample properties 小样本性质 | small sample research 小样本研究
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small set：小集
small sample 小样本 | small set 小集 | smallest element 最小元
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small stellated dodecahedron：小星形十二面体
small sample 小样本 | small stellated dodecahedron 小星形十二面体 | smaller than 小於