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1.
在一般的统计问题中,通常假设随机样本的观测值为一个确定的数值,然而在一些实际问题中由于条件所限,不能长期连续进行观测,得到的样本往往是观测值落入某些区间内的个数,即分组数据或区间型数据.针对分组数据在简单恒加试验和简单步加试验的场合,给出了等间距的估计,并证明简单恒加试验中的等间距精度优于简单步加试验.  相似文献   

2.
主要讨论了在数据随机删失和数据分组与右删失两种情形下指数分布的参数估计问题.并用EM算法对参数进行了估计.  相似文献   

3.
根据定数截尾数据,给出了参数的常用区间估计和最短区间估计,另外,还介绍了最短区间估计的求法.  相似文献   

4.
部分区间删失数据包括精确数据以及区间删失数据,在慢性病研究中有广泛的应用.本文主要考虑在具有1类部分删失数据下指数分布中最大似然估计的相合性,在一定的正则条件下证明了最大似然估计的强相合性.  相似文献   

5.
均匀分布分位数的区间估计   总被引:1,自引:0,他引:1  
给出了均匀分布的参数和P分位数的无偏估计,讨论了P分位数的常用区间估计及最短区间估计;同时,给出了假设检验的方法.最后,根据具体数据计算出了这两种区间估计及其区间估计的长度,并把所得结果进行了比较,得出了相应的结论.  相似文献   

6.
针对分组数据情形,研究其参数估计的文献甚是少见.鉴于如此,这篇文章探讨了广义指数分布在恒加试验中,基于分组数据的参数估计问题,并利用EM算法给出了参数估计的显性表达式,最后通过Monte Carlo模拟说明了估计方法的有效性和可行性.  相似文献   

7.
对一组区间约束数据进行研究,利用核函数方法构造出区间约束数据的条件分位数的估计,在一定的正则条件下证明了估计量的强弱相合性,渐近正态性,并构造了条件分位数的经验似然置信区间.  相似文献   

8.
缺失数据样本下冷贮备串联系统可靠性指标的Bayes估计   总被引:1,自引:0,他引:1  
在定数截尾缺失数据样本下,研究了冷贮备串联系统的可靠性指标评估问题.将经典估计方法和Bayes方法相结合,得到了部件的平均寿命、系统可靠度及平均寿命等可靠性指标的点估计和区间估计.最后利用随机模拟例子说明了文中方法的正确性和可行性.  相似文献   

9.
一、小学数学中的估算问题 小学数学中加、减、乘、除的估算主要包括估值和区间估计两种形式。区间估计又包括估上限和估下限两种不同的形式。  相似文献   

10.
本文对统计推断理论中区间估计和参数假设检验的相关性问题进行了分析,并对区间估计和假设检验的内在联系和区别进行了探讨.  相似文献   

11.
Information loss occurs when continuous data are grouped in discrete intervals. After calculating the squared correlation coefficients between continuous data and corresponding grouped data for four population distributions, the effects of population distribution, number of intervals, and interval width on information loss and recover), were examined.  相似文献   

12.
本文基于不完全样本中的分组样本研究方法,当失效数据服从指数分布时,对给定的两个加速应力水平下的恒加试验进行了分析和探究,并讨论了在平均寿命的对数的渐近方差达到最小的时候,对受试元件观察的等间隔时间问题.  相似文献   

13.
针对不完全样本观测数据,讨论了一类均匀分布总体参数的区间估计问题.利用样本中位数给出了构造置信区间的一个新枢轴量,推导出了枢轴量的概率密度函数表达式,并且在大样本场合,讨论了总体参数的近似置信区间.该方法不仅适用于不完全数据场合,而且还适用于样本中可能存在异常数据的情形,具有稳健性.  相似文献   

14.
Reporting confidence intervals with test scores helps test users make important decisions about examinees by providing information about the precision of test scores. Although a variety of estimation procedures based on the binomial error model are available for computing intervals for test scores, these procedures assume that items are randomly drawn from a undifferentiated universe of items, and therefore might not be suitable for tests developed according to a table of specifications. To address this issue, four interval estimation procedures that use category subscores for the computation of confidence intervals are presented in this article. All four estimation procedures assume that subscores instead of test scores follow a binomial distribution (i.e., compound binomial error model). The relative performance of the four compound binomial–based interval estimation procedures is compared to each other and to the better known normal approximation and Wilson score procedures based on the binomial error model.  相似文献   

15.
This paper presents an efficient parallel algorithm for the shortest-path problem in interval graph for computing shortest-paths in a weighted interval graph that runs in O(n) time with n intervals in a graph. A linear processor CRCW algorithm for determining the shortest-paths in an interval graphs is given.  相似文献   

16.
This paper presents an efficient parallel algorithm for the shortest-path problem in interval graph for computing shortest-paths in a weighted interval graph that runs in O(n) time with n intervals in a graph. A linear processor CRCW algorithm for determining the shortest-paths in an interval graphs is given.  相似文献   

17.
Pigeons trained on a conditional event-duration discrimination typically “choose short” when retention intervals are inserted between samples and comparisons. In two experiments, we tested the hypothesis that this effect results from ambiguity produced by the similarity of the novel retention intervals and the familiar intertrial interval by training pigeons with retention intervals from the outset and, for one group, in addition, making retention intervals distinctive from the intertrial intervals. In Experiment 1, when the retention intervals (0–4 sec) were not distinctive from the intertrial intervals, the pigeons did not show a clear choose-short effect even when extended retention intervals (8 sec) were introduced. When the retention intervals were distinctive, the pigeons showed a choose-long effect (they appeared to time through the retention interval), but it was relatively weak until the retention intervals were extended to 8 sec. In Experiment 2, when pigeons were discouraged from timing through the retention intervals by making the intertrial intervals and retention intervals salient distinct events and using long (up to 16-sec) retention intervals in training, parallel retention functions were found. It appears that when ambiguity is removed, forgetting by pigeons does not occur by the process of subjective shortening. These experiments suggest that the accurate interpretation of results of animal memory research using differential-duration samples must consider the novelty of the retention intervals on test trials as well as their similarity to other trial events.  相似文献   

18.
Introductory statistics texts give extensive coverage to two‐sided inferences in hypothesis testing, interval estimation, and one‐sided hypothesis tests. Very few discuss the possibility of one‐sided interval estimation at all. Even fewer do so in any detail. Two of the business statistics texts we reviewed mentioned the possibility of dividing the risk of a type I error unequally between the tails for a two‐sided confidence interval. None of the textbooks that were reviewed even considered the possibility of unequal tails for two‐sided hypothesis tests. In this paper, we propose that statistics courses and texts should cover both one‐sided tests and confidence intervals. Furthermore, we propose that coverage, at least in two semesters and advanced courses, should also be given to unequal division of the nominal risk of a type I error for both tests and confidence intervals. Examples are provided for both situations.  相似文献   

19.
An interval estimation procedure for proportion of explained observed variance in latent curve analysis is discussed, which can be used as an aid in the process of choosing between linear and nonlinear models. The method allows obtaining confidence intervals for the R 2 indexes associated with repeatedly followed measures in longitudinal studies. In addition to facilitating evaluation of local model fit, the approach is helpful for purposes of differentiating between plausible models stipulating different patterns of change over time, and in particular in empirical situations characterized by large samples and high statistical power. The procedure is also applicable in cross-sectional studies, as well as with general structural equation models. The method is illustrated using data from a nationally representative study of older adults.  相似文献   

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