跳到正文
收录说明
收录范围
保留计量方法研究、相关统计基础,以及实质涉及计量方法的应用、教程、比较和综述。书评、刊务及明确无关内容不公开;身份或相关性证据不足的记录保留待核,补充可靠材料后可重新判断。
当前期刊来源见下方官网链接及期刊目录。综合经济学与金融期刊逐篇筛查计量方向,证据不足时暂不公开。正刊、在线优先论文和已核实接收稿合并展示;按标题、可靠摘要、目录及身份匹配的出版社 JEL 分类核验相关性;计量类 JEL 与摘要相互印证,无 JEL 不直接排除。历史回补以可取得的注册题录和目录为准,不等于覆盖全部纸本。
日期与排序
默认按最近发表排序:正刊使用刊期,待刊使用上线日期;缺少上线日期时,排序参考登记或首次收录时间,并在卡片注明。更多筛选可选择出版状态和日期口径;卷期依据出版社元数据,不因待刊时间较长而推定已编入正刊。仅有月份或年份时,日期区间相交也会纳入。

日期精度:到日 0 篇 · 到月 4 篇 · 到年 1 篇

分类与引用
领域和方法依据题名、摘要初步分类,可人工修正;分类不代表论文质量。引用数采用 OpenAlex 单条关联记录,不合计版本。
更新与 AI 解读
正常题录、可靠摘要与引用同步继续;日、周、月简报按核实的发表与修订日期汇总,历史补录保留在文献库。AI 解读依据可靠摘要或已核实原文片段,已有解读保留供阅读参考;缺少可靠材料的条目保持待解读,浏览页面不会触发生成。
5 篇论文
导出

Simultaneous Prediction Intervals to Contain the Standard Deviations or Ranges of Future Samples from a Normal Distribution

正态总体未来样本标准差或极差的同时预测区间

This article provides procedures for constructing simultaneous prediction intervals to contain the standard deviations or ranges of all of k future samples, given the standard deviation or range of a past sample from the same normal distribution. The procedures, which use mainly existing tabulations, are illustrated by a numerical example.

AI 解读阅读原文 ↗BibTeX ↓

A table of percentage points of the distribution of the largest absolute value of k Student t variates and its applications

多个 Student t 变量最大绝对值的分位点表及应用

A table of lOOγ% points of the maximum absolute valuetof the k-variate Student t distribution with v degrees of freedom and common correlation p is given for various values of k, ν, p and γ. The application of these tables to problems dealing with the construction of simultaneous confidence and prediction intervals is briefly described.

AI 解读阅读原文 ↗BibTeX ↓

Additional Factors for Calculating Prediction Intervals for Samples from a Normal Distribution

正态分布样本预测区间的补充计算因子

A prediction interval on k future observations is an interval which is said to contain the values of all k such observations with a specified probability based on the results of a past sample of n observations from the same population. Such an interval is frequently required in practical applications. This article provides factors for a normal distribution for These factors were obtained using a new computer program whose accuracy was checked by comparison with existing…

AI 解读阅读原文 ↗BibTeX ↓

Factors for Calculating Two-Sided Prediction Intervals for Samples from a Normal Distribution

正态总体样本双侧预测区间的计算因子

Factors r(k, n; γ) for a normal distribution are given such that one may be 100γ% confident that the two-sided prediction interval will contain all of k future values, where and s are the sample mean and standard deviation from n previous observations. A special case is a prediction interval for a single future observation, which can also be obtained using percentage points of the Student t-distribution. Curves which indicate the extent to which two previously proposed…

AI 解读阅读原文 ↗BibTeX ↓