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 5 篇 · 到月 6 篇 · 到年 0 篇
Topics in the Investigation of Linear Relations Fitted by the Method of Least Squares
最小二乘拟合线性关系的若干研究主题
Summary Various topics are reviewed: the effect of modern computers on statistical calculation; analysis by vector components rather than analysis merely of variance; “stepwise regression”; testing goodness of fit by examining residuals. Possible alternatives to the method of least squares appropriate when the distribution of errors has long tails, and computation of the likelihood function resulting from a Pearson Type VII distribution of errors, are considered. Some of the…
Tests of Goodness of Fit
拟合优度检验
SUMMARY An explicit account is given of a procedure for assessing goodness of fit of some observations with a hypothesis, generally known as a “test of significance”; the description is close in spirit to R. A. Fisher’s original conception. The relation of this test procedure with Bayesian procedures and with the Neyman–Pearson theory of tests is discussed. Some very tentative suggestions are made regarding the choice of a test criterion and the use to which the result of…
Estimating a Mixed-Exponential Response Law
混合指数响应规律的估计
This paper is concerned with the estimation of the parameters of a mixed-exponential response law, given some sample observations. Two alternative laws are considered, each having two parameters. The first law expresses the proportion F(t) of the population who have responded within time t in the form F(t) = (1 – e −αt )ξ. The second law states that F(t) = 1 – (1 + λt)−v. The problem has been encountered in the context of market research, in estimating the “penetration” of a…
Estimating a Mixed-Exponential Response Law
混合指数响应规律的估计
This paper is concerned with the estimation of the parameters of a mixed-exponential response law, given some sample observations. Two alternative laws are considered, each having two parameters. The first law expresses the proportion F(t) of the population who have responded within time t in the form F(t) = (1 – e −αt )ξ. The second law states that F(t) = 1 – (1 + λt)−v. The problem has been encountered in the context of market research, in estimating the “penetration” of a…
A Course in Multivariate Analysis.
DEPENDENCE OF THE FIDUCIAL ARGUMENT ON THE SAMPLING RULE
Dependence of the Fiducial Argument on the Sampling Rule
Sequential Estimation
序贯估计
Summary The literature on sequential estimation is reviewed, with special reference to inverse binomial sampling, double sampling, and asymptotic theory. An approximate distribution for the sample size is found for a certain type of sequential sampling rule, in which a cumulative sum of independent random variables all having the same continuous distribution is plotted against their number until a fixed boundary is first reached or crossed. Approximate methods are given for…