论文检索
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。
- 期刊官网
- Econometrica ↗QE ↗JoE ↗ET ↗JAE ↗JBES ↗ReStud ↗JPE ↗REStat ↗EctJ ↗JF ↗JFE ↗JASA ↗JRSS B ↗Annals of Statistics ↗Biometrika ↗
- 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。
- 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。
日期精度：到日 1 篇 · 到月 8 篇 · 到年 2 篇
Applied Linear Statistical Methods.
Power of the Likelihood Ratio Test on the Mean Vector of the Multivariate Normal Distribution with Missing Observations
存在缺失观测时多元正态均值向量似然比检验的功效
The noncentral distribution of the generalized likelihood ratio statistic for testing hypotheses on the mean vector of a multivariate normal population is derived when a subset of the variates does not have observations on some sampling units, and is used to derive the power of the test for particular values of the noncentrality parameter. The accuracy of the results is assessed by comparing them with the known power when the sample is complete.
A test for equality of means of correlated variates with missing data on one response
一个响应存在缺失时相关变量均值相等的检验
A statistic is proposed for testing the hypothesis of equality of the means of a bivariate normal distribution with unknown common variance and correlation coefficient when observations are missing at random on one of the variates. Expressions for the second and fourth moments of the statistic have been obtained, and normal, t and Cornish-Fisher approximations to the percentage points under the null hypothesis have been found from them. The expected squared lengths of the…
A Test for Equality of Means of Correlated Variates with Missing Data on One Response
Power of the likelihood ratio test on the mean vector of the multivariate normal distribution with missing observations
缺失观测下多元正态均值向量似然比检验的功效
The noncentral distribution of the generalized likelihood ratio statistic for testing hypotheses on the mean vector of a multivariate normal population is derived when a subset of the variates does not have observations on some sampling units, and is used to derive the power of the test for particular values of the noncentrality parameter. The accuracy of the results is assessed by comparing them with the known power when the sample is complete.
Expectations and Variances of Maximum Likelihood Estimates of the Multivariate Normal Distribution Parameters with Missing Data
缺失数据下多元正态参数极大似然估计的期望与方差
Exact expectations and variances have been obtained for the maximum likelihood estimates of the elements of the mean vector and covariance matrix of the multivariate normal distribution when a subset of the variates does not have observations on some sampling units. The biases, variances, and mean square errors of the estimates are compared with those of the usual estimates computed from the complete observation vectors. When the correlations between the complete and…