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 1 篇 · 到月 13 篇 · 到年 0 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。
14 篇论文
导出

The Directional Neighborhoods Approach to Contextual Classification of Images from Noisy Data

基于方向邻域的含噪图像上下文分类

The directional neighborhoods approach (DNA) to classifying pixels and reconstructing images from remotely sensed noisy data is a newly proposed computer-intensive procedure that is partly Bayesian and partly data analytic. It uses the observational data to select an optimal, generally asymmetric, but relatively homogeneous neighborhood for contextually classifying pixels. A criterion for “homogeneity of neighborhood” is developed. DNA involves two stages: a zero-neighbor…

AI 解读阅读原文 ↗BibTeX ↓

The Directional Neighborhoods Approach to Contextual Classification of Images From Noisy Data

噪声图像上下文分类的方向邻域方法

The directional neighborhoods approach (DNA) to classifying pixels and reconstructing images from remotely sensed noisy data is a newly proposed computer-intensive procedure that is partly Bayesian and partly data analytic. It uses the observational data to select an optimal, generally asymmetric, but relatively homogeneous neighborhood for contextually classifying pixels. A criterion for “homogeneity of neighborhood” is developed. DNA involves two stages: a zero-neighbor…

AI 解读阅读原文 ↗BibTeX ↓

Bayesian and Likelihood Methods in Statistics and Econometrics: Essays in Honor of George A. Barnard.

统计与计量经济学中的贝叶斯和似然方法:向乔治·A.巴纳德致敬的论文集

Introduction. A Survey of George Barnard's Statistical Work. (D.V. Lindley). Foundations (Contributors: A.P. Dempster B.M. Hill J.S. Hodges D.A. Lane). Selected Applications (Contributors: S. Chib, S.R. Jammalamadaka, R.C. Tiwari L. Denby, R. Gnanadesikan, J.R. Kettenring, J.W. Suzansky S.E. Fienberg Y. Hiatovsky H. Tsurumi). Selected Inference Problems (Contributors: M.J. Bayarri, M.H. DeGroot L.D. Broemeling, M.S. Son, H.I. Hamdy C.-H. Chen, J.M. Dickey G.T. Duncan M.…

AI 解读阅读原文 ↗BibTeX ↓

Bayesian Estimation and Prediction for Pareto Data

帕累托数据的贝叶斯估计与预测

Data from a classical Pareto distribution are to be used to make inferences about the inequality and precision parameters. In addition, it is desired to predict the behavior of further observations from the distribution. Three typical data configurations are considered (iid and two types of censoring). Dependent conjugate prior analyses are reviewed and are compared with an analysis involving independent priors for the inequality and precision parameters. It is argued that…

AI 解读阅读原文 ↗BibTeX ↓

Simultaneous Estimation of Several Poisson Parameters Under $K$-Normalized Squared Error Loss

K 归一化平方误差损失下多个泊松参数的同时估计

In this study, we consider the simultaneous estimation of the parameters of the distributions of $p$ independent Poisson random variables using the loss function $L_k(\lambda, \hat{\lambda}) = \sum (\lambda_i - \hat{\lambda}_i)^2/\lambda^k_i$ for a given positive integer $k$. New estimators are derived, which include the minimax estimators proposed by Clevenson and Zidek (1975), as special cases. The case when more than one observation is taken from some of the variables is…

AI 解读阅读原文 ↗BibTeX ↓

Choosing between Logistic Regression and Discriminant Analysis

Logistic回归与判别分析之间的选择

Classifying an observation into one of several populations is discriminant analysis, or classification. Relating qualitative variables to other variables through a logistic cdf functional form is logistic regression. Estimators generated for one of these problems are often used in the other. If the populations are normal with identical covariance matrices, discriminant analysis estimators are preferred to logistic regression estimators for the discriminant analysis problem.…

AI 解读阅读原文 ↗BibTeX ↓

A Bayesian Approach to Second Guessing “Undecided” Respondents

对“未决定”受访者进行推断的贝叶斯方法

This article is concerned with the survey problem of estimating category probabilities when some of the subjects respond to sensitive questions in the “don't know,” “no opinion” or “undecided” category, to avoid stating their true beliefs. The suggested approach draws on the information obtained from subjects who respond in unambiguous categories on the main question of interest, and on subsidiary questions posed to the same subjects (possibly in the same survey). This…

AI 解读阅读原文 ↗BibTeX ↓

Estimation in Univariate and Multivariate Stable Distributions

单变量与多变量稳定分布的参数估计

This paper proposes several methods of estimating parameters in stable distributions. All the methods involve sample characteristic functions. One of the methods which is based upon the method of moments is treated in some detail. Asymptotic normal distributions for the proposed moment estimators are provided. Moreover, all methods provide consistent estimators. The estimation problem is treated for both univariate and multivariate stable distributions.

AI 解读阅读原文 ↗BibTeX ↓

The t -Ratio Distribution

相关 Student t 随机变量之比的分布

The distribution of the ratio of correlated Student t-variates is of interest in problems in econometrics, and ranking and selection. The density of this ratio is derived and computer graphs of the density are given in terms of standardized variates. Fractiles are given for selected parameter values. It is shown that the distribution contains no moments.

AI 解读阅读原文 ↗BibTeX ↓

A Confidence Interval Comparison of Two Test Procedures Proposed for the Behrensfisher Problem

Behrens–Fisher 问题中两种检验程序的置信区间比较

The procedures of Scheffé [4] and Welch [5] for testing equality of means of two normal populations are compared according to the expected lengths of the confidence intervals they yield, and a criterion is developed for deciding which of the two methods is better in any given situation. An expression for the expected length of the confidence interval for the Scheffé procedure was developed by Scheffé. Because of the asymptotic series nature of the Welch procedure, in this…

AI 解读阅读原文 ↗BibTeX ↓