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We would like to reject H0 (recall that in statistical hypothesis testing rejection of Null hypothesis is always a strong conclusion),thereby demonstrating that the process is capable.

我们想要否定H0(取消对统计的假设中无效力假设的测试否定一直是一个强的结论)。因此,示范加工是有能力的。

When a testing situation requires more than two categories, sequential analysis can be applied to deal with the problems of multiple hypothesis testing when statistical hypotheses are identified.

针对於别多於的分问题,在已知的统计假设下,用逐次分析的概可以用处多重假设检定问题,进一步解决多别的分问题。

This paper points out the problems about using statistical hypothesis test, analyses the relation between two types of errors and proposes the Bayes method to the persons when they have no enough knowledge about the null hypothesis.

本文首先指出实际工作中使用统计假设检验方法常出现的问题,具体介绍了假设检验方法,并分析两种错误之间的关系。

The inventory cost is a primary component of the supply chain cost, and the method for multi-echelon inventory optimization and control must be adopted for the sake of the entire supply chain optimization and control, t present, papers on multi-echelon inventory systems have solved some problems, but they still have limitations. Firstly, they assumed that leadtime are constants. In practice, as the unknowable incidents exist in production, transportation and distribution processes, leadtime usually are uncertain. Secondly, there exist the hypotheses of totally back orders or completely lost sales under the condition of stockout in most literatures. Thirdly, the existing two-echelon inventory approximate model optimum always fixes one variable in the inventory strategy, and then seeks the optimal in the remained parameters, which makes the result can not be the best outcome.

目前有关两级库存优化控制的研究文献大多是假设提前期为常数的基础上建立模型,然而现实中由于供应链上各节点的库存不确定性以及运输、生产、交货等环节的不可预知性,使得提前期在多数情况下是不确定的;而且大部分文献都是假设缺货情况下要么完全延迟交货,要么完全损失销售,很少有考虑部分损失销售情况下库存优化控制的;另外,现有的两级库存近似模型的优化大都是固定一个库存策略中的变量,对余下变量寻优,其优化结果不可能是最优结果。

In order to design a scheme to quantify the observation and to get the fusion estimation from the received bits,the estimation fusion problem was changed into that of decision fusion.The interval was divided into subintervals,each subinterval was assigned a hypothesis,suitable cost coefficients of each hypothesis was selected to form the Bayes cost functional,and a mapping from estimation fusion to decision fusion was constructed.

采用将区间划分,每一区间形成一个假设,规定假设之间合适的损失系数,将估计融合问题化为决策融合问题,运用成熟的决策融合的方法,对于现在研究还不成熟的估计融合传感器量化问题设计了一个解决方案,将决策融合的决策结果作为最终的估计,从而在观测被量化的条件下达到较优的估计效果。

Chapter One of this dissertation deals with the UG theory, the logical problems of language acquisition and three hypotheses concerning the role of UG in L2 acquisition; Chapter Two interprets English and Chinese wh-questions, wh-movement as well as the principles of Subjacency and the ECP; Chapter Three reviews the main studies on wh-movement constraint in L2 acquisition in the past two decades; Chapter Four concerns the research methodology adopted in this study; Chapter Five involves collection, analysis and discussion of the data obtained in the GJ Task; Chapter Six is the conclusions.

等等。本文的第一章主要介绍普遍语法理论、普遍语法和二语习得的关系以及前人对普遍语法可及性的三种假设;第二章解释英语和汉语特殊疑问句、疑问词移动以及界限原则和空语类原则规律;第三章回顾前人对母语为汉语的人习得英语时对疑问词移动限制的可及性研究并提出本次研究的假设;第四章主要介绍本次研究的方法;第五章主要涉及研究中的数据收集、分析和讨论;第六章是研究的结论。

During the resample, the wrong hypotheses are discarded through basic Branch and Bound approach. The real optimization or suboptimization association results are obtained after a period.

针对经典的单匹配最近邻和联合匹配方法中关联假设一旦确定就不能修改的不足,将数据关联问题转换成离散优化问题,提出了一种基于粒子滤波的多假设数据关联方法。

In this paper the gaseous viscosity factor is simplified and deduced on basis of supposed gas and then some supposal is cleaned and much more strict deductions are given .

在对气体作近似假设的基础上,对气体粘滞系数进行简化推导,而后再逐步撤除一些假设,并作出了较为严格的推导。

Based on Krashen's "Input Hypothesis" and Swain's "Output Hypothesis", it is conjectured that sufficient input is the foundation for good output.

根据Krashen的"输入假设"理论和Swain的"输出假设"理论,良好的输出需要以足够的输入为基础。

It mainly elaborates, in the first part of the thesis, Krashen' s Monitor Theory, the affective filter hypothesis, Swain' s comprehensible output hypothesis, and the relationship between input and output.

文章的第1部分阐述了Krashen的监听理论、情感过滤假设、Swain的输入假设以及输入与输出之间的关系。

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