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 3 篇 · 到月 3 篇 · 到年 1 篇
Accounting for Intrinsic Nonlinearity in Nonlinear Regression Parameter Inference Regions
非线性回归参数推断区域中的内在非线性
Joint confidence and likelihood regions for the parameters in nonlinear regression models can be defined using the geometric concepts of sample space and solution locus. Using a quadratic approximation to the solution locus, instead of the usual linear approximation, it is shown that these inference regions correspond to ellipsoids on the tangent plane at the least squares point. Accurate approximate inference regions can be obtained by mapping these ellipsoids into the…
Parameter Transformations for Improved Approximate Confidence Regions in Nonlinear Least Squares
通过参数变换改善非线性最小二乘的近似置信域
In a previous paper, it was shown that parameter-effects nonlinearities of a nonlinear regression model-experimental design-parameterization combination can be quantified by means of a parameter-effects curvature array $A$ based on second derivatives of the model function. In this paper, the individual terms of $A$ are interpreted and local compensation methods are suggested. A method of computing the parameter-effects array corresponding to a transformed set of parameters…
Relative Curvature Measures of Nonlinearity
衡量非线性程度的相对曲率指标
Summary Simple relative curvature measures of nonlinearity are developed to measure the extent of the nonlinearity in a model-experimental design-parameterization combination. We review the geometric aspects of linear and nonlinear least squares and, using the geometric concept of curvature, compute the maximum relative intrinsic curvature of the solution locus as well as the maximum relative parameter-effects curvature. The relative curvatures are independent of scale…
Interpreting Partial Autocorrelation Functions of Seasonal Time Series Models
季节性时间序列模型偏自相关函数的解释
A simple approach to understanding the behaviour of the partial autocorrelation function of seasonal time series is presented, based on a partial autocorrelation pattern. This pattern, which acts as a signature of the regular component of the model, is a simple composite of the autocorrelation and partial autocorrelation functions of the regular component.
Interpreting partial autocorrelation functions of seasonal time series models
季节性时间序列模型偏自相关函数的解释
A simple approach to understanding the behaviour of the partial autocorrelation function of seasonal time series is presented, based on a partial autocorrelation pattern. This pattern, which acts as a signature of the regular component of the model, is a simple composite of the autocorrelation and partial autocorrelation functions of the regular component.