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 2575 篇 · 到月 3 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。
2,578 篇论文
导出
BibTeX ↓RIS ↓RSS 订阅 ↗

Identification of Nonzero Elements in the Polynomial Matrices of Mixed Varma Processes

混合VARMA过程多项式矩阵中非零元素的识别

S. G. Koreisha, T. M. Pukkila; Identification of Nonzero Elements in the Polynomial Matrices of Mixed Varma Processes, Journal of the Royal Statistical Soc

AI 解读阅读原文 ↗BibTeX ↓

Does Simple Random Sampling Provide Adequate Balance?

简单随机抽样能否提供充分的平衡?

SUMMARY Theoretical arguments imply that, as the sample size increases, simple random sampling does not force balance fast enough to provide robust inference for a finite population total using the ratio estimator. An empirical study shows that under simple random sampling, confidence intervals for the total can have conditional coverage probabilities that are persistently awful as the sample size grows.

AI 解读阅读原文 ↗BibTeX ↓

Limit Distribution of a High Order Markov Chain

高阶马尔可夫链的极限分布

SUMMARY The limit distribution of a Markov chain of order k > 1 is obtained under conditions weaker than those assumed by Raftery (1985). The results are shown to be valid also for arbitrary state space Markov sequences of order k > 1.

AI 解读阅读原文 ↗BibTeX ↓

Estimating Subgroup Means with Misclassification

误分类条件下的子群均值估计

SUMMARY The present paper considers the estimation of subgroup means in the presence of misclassification errors in allocating individuals to the subgroups. A simple non-iterative estimator resulting from modifying Selen's (1986) estimator is studied when the probabilities of misclassification are independently estimated. In contrast to Selen (1986), an explicit expression for the covariance matrix of the suggested estimator is obtained using special matrix products and…

AI 解读阅读原文 ↗BibTeX ↓

A Note on Extended Quasi-Likelihood

扩展拟似然方法的一则注记

SUMMARY We study the method of extended quasi-likelihood estimation and inference of a variance function recently proposed by Nelder and Pregibon. The estimates are inconsistent in general, and the test levels can be biased, but in many cases such as the exponential family the inconsistency and bias will not be a major concern. Extended quasi-likelihood is compared with Carroll and Ruppert's pseudo-likelihood method, which gives consistent estimates and, when slightly…

AI 解读阅读原文 ↗BibTeX ↓

Consistent Order Determination for Processes with Infinite Variance

无限方差过程的一致阶数判定

SUMMARY Order determination for autoregressive processes when the residuals have a distribution belonging to the domain of attraction of an infinite variance stable law is examined. The use of the FPEα criterion of Bhansali and Downham (1977) is shown to provide a consistent estimator of the order with any α > 0. Order determination for moving average processes is considered; a procedure based on autoregressive estimates of the inverse correlations, see Bhansali (1983), is…

AI 解读阅读原文 ↗BibTeX ↓

On Symmetric Bootstrap Confidence Intervals

对称 Bootstrap 置信区间

SUMMARY It is shown that in quite general circumstances, symmetric percentile-t bootstrap confidence intervals have coverage error O(n –2), where n denotes sample size. This compares with an error of roughly constant n –1 for equal-tailed percentile-t confidence intervals. It is also proved that symmetric intervals are not necessarily any longer than equal-tailed intervals. Arguments based on Edgeworth and Cornish–Fisher expansions are used to predict circumstances in which…

AI 解读阅读原文 ↗BibTeX ↓

Quantifying Expert Opinion in Linear Regression Problems

线性回归问题中专家意见的量化

SUMMARY This paper describes a method for choosing a natural conjugate prior distribution for a normal linear sampling model. A person using the method to quantify his/her opinions performs specified elicitation tasks. The hyperparameters of the conjugate distribution are estimated from the elicited values. The method is designed to require elicitation tasks that people can perform competently and introduces a type of task not previously reported. A property of the method is…

AI 解读阅读原文 ↗BibTeX ↓

Approximate Conditional Inference in Generalized Linear Models

广义线性模型中的近似条件推断

SUMMARY Easily calculated and accurate approximations are developed to the conditional densities and distributions of sufficient statistics in generalized linear models with canonical link functions. They enable conditional inferences based on modified profile log-likelihoods and tail probabilities to be made using only the deviance and the variance matrix estimate based on fitted models. Examples are given in binary logistic regression and a log-linear model, and the…

AI 解读阅读原文 ↗BibTeX ↓

Bahadur Efficiency of Two-Sample Tests Based on One-Sample Sign Statistics

基于单样本符号统计量的两样本检验之Bahadur效率

SUMMARY This paper discusses the two-sample test of location based on the comparison of two distribution-free one-sample confidence intervals derived from sign statistics. This test procedure, first introduced by Hettmansperger (1984), rejects the null hypothesis of equal population medians when the two intervals are disjoint. He presents three different ways to select the two one-sample intervals and one choice leads to Mood's test. All solutions have the same Pitman…

AI 解读阅读原文 ↗BibTeX ↓

Kernel Smoothing in Partial Linear Models

部分线性模型中的核平滑

SUMMARY Kernel smoothing is studied in partial linear models, i.e. semiparametric models of the form yi=ξi′β+f(ti)+εi(1⩽i⩽n), where the ξi are fixed known p vectors, β is an unknown vector parameter and f is a smooth but unknown function. Two methods of estimating β and f are considered, one related to partial smoothing splines and the other motivated by partial residual analysis. Under suitable assumptions, the asymptotic bias and variance are obtained for both methods, and…

AI 解读阅读原文 ↗BibTeX ↓

A Generalization of a Nonparametric Test for Stochastically Ordered Distributions to Censored Survival Data

随机序分布非参数检验向删失生存数据的推广

SUMMARY Currently used test statistics for stochastically increasing survival times in a k-sample problem are linear combinations of either Gehan (generalized Wilcoxon) or generalized Savage score sums. The power of these tests depends on a priori knowledge about the true form of the alternative. When isotonic regression is applied to these score sums, it yields a new trend test for right-censored survival data which generalizes to left-truncated survival data and to…

AI 解读阅读原文 ↗BibTeX ↓

Nonparametric Estimation of the Probability of a Long Delay in the M/G/1 Queue

M/G/1 队列长等待概率的非参数估计

SUMMARY A Poisson stream of customers with known arrival rate λ approaches a single server having independent identically distributed service times with unknown distribution. A nonparametric estimator of the probability of a long customer delay is obtained from an asymptotic renewal theoretic result giving an exponential approximation to the tail of the virtual waiting time distribution for a stable M/G/1 queue. Asymptotic properties of the estimator are obtained. Results of…

AI 解读阅读原文 ↗BibTeX ↓

On the Distribution of a Studentized Quantile

学生化分位数的分布

SUMMARY The asymptotic variance of a sample quantile depends on the value of the population density at the population quantile. Therefore Studentizing a sample quantile involves density estimation, either explicitly or implicitly. One popular way of Studentizing is to use the Siddiqui–Bloch–Gastwirth estimator, whose construction depends crucially on the choice of a smoothing parameter m. We examine the effect which the selection of m has on the level error of tests or…

AI 解读阅读原文 ↗BibTeX ↓

Bootstrap Methods

Bootstrap 方法

SUMMARY A survey of some developments in bootstrap methodology is given. Topics include confidence limits, significance tests, empirical likelihoods, conditioning, double bootstrapping, and numerical techniques. Special attention is given to regression problems. There are brief remarks about more complex problems, including variance component problems, time series and nonparametric regression.

AI 解读阅读原文 ↗BibTeX ↓

A Review of Bootstrap Confidence Intervals

自助法置信区间综述

SUMMARY A survey of bootstrap procedures for constructing confidence regions is given. In particular, several distinct bootstrap methods are considered, with emphasis on the mathematical correctness of these procedures. The percentile, bias-corrected percentile and accelerated bias-corrected percentile methods, developed by Efron, are reviewed in both parametric and nonparametric situations. A procedure related to the accelerated bias-corrected method, which avoids explicit…

AI 解读阅读原文 ↗BibTeX ↓

A Note on the Existence of Maximum Likelihood Estimates in Linear Regression Models Using Interval-Censored Data

区间删失数据线性回归模型中最大似然估计存在性的一个注记

SUMMARY For a class of linear regression models with interval-censored data, including the exponential regression model as a special case, a necessary and sufficient condition is given for the existence of the maximum likelihood estimator (MLE). The condition is especially simple to check for simple linear regression. This result is useful for comparing the small sample properties of MLEs from different special cases of interval-censored data.

AI 解读阅读原文 ↗BibTeX ↓

Inference from Accelerated Life Tests Using Filtering in Coloured Noise

利用有色噪声下的滤波进行加速寿命试验推断

SUMMARY We present a new approach for inference from accelerated life tests. Our approach formulates such problems as inference under Kalman filter models with correlated observation errors. We restrict attention to exponential life distributions, and the power rule as a time transformation function. Extensions to other time transformation functions are straightforward; however, extensions to other distributions involve nonlinear filtering and are not considered. The…

AI 解读阅读原文 ↗BibTeX ↓

Saddlepoint Expansions for Directional Test Probabilities

方向性检验概率的鞍点展开

SUMMARY An expansion is derived for the conditional tail probability of a multivariate random variable given its direction from the expected value. In particular, if the score function of a statistical model is chosen as this variable, such a conditional probability gives a test for a simple hypothesis, which is asymptotically equivalent to the likelihood ratio test. The expansion is of the large deviation type and is derived through the use of saddlepoint methods. Thus the…

AI 解读阅读原文 ↗BibTeX ↓

Binary Regression Models for Contaminated Data

污染数据的二元回归模型

SUMMARY The nature of outliers in the context of binary regression data is discussed. Resistant fitting procedures produce estimated regression coefficients which are numerically larger than maximum likelihood, implying the need for a shrinkage-type correction. A simple model which allows for a small number of the binary responses being misrecorded is proposed, and associated techniques for robust estimation and diagnostics developed.

AI 解读阅读原文 ↗BibTeX ↓

Consistent Estimates for the Near(2) and Nlar(2) Time Series Models

NEAR(2) 与 NLAR(2) 时间序列模型的一致估计

SUMMARY Consistent and asymptotically normal estimates for all four parameters of the NEAR(2) and NLAR(2) time series models are obtained. The estimates are given in explicit form and are easy to compute, but with simulation experiments the standard errors are large, especially for small values of the parameters, so very substantial sample sizes may be needed. Hence, from this point of view, the NEAR(2) and NLAR(2) models are of limited practical value. The simulations…

AI 解读阅读原文 ↗BibTeX ↓

Estimation and Model Identification for Continuous Spatial Processes

连续空间过程的参数估计与模型辨识

SUMMARY Formal parameter estimation and model identification procedures for continuous domain spatial processes are introduced. The processes are assumed to be adequately described by a linear model with residuals that follow a second-order stationary Gaussian random field and data are assumed to consist of noisy observations of the process at arbitrary sampling locations. A general class of two-dimensional rational spectral density functions with elliptic contours is used…

AI 解读阅读原文 ↗BibTeX ↓

Identification of Nonzero Elements in the Polynomial Matrices of Mixed Varma Processes

SUMMARY The parameter density is the polynomial matrices of vector autoregressive moving average (VARMA) time series models is generally very low. Thus, estimation of fully parameterized high order models or of models with many variables is an ineffective, if not impractical, way of utilizing computing power. In the article we present methods for identifying the nonzero elements in VARMA(1,1) models, and show how these procedures can be used to construct models of higher…

阅读原文 ↗BibTeX ↓

Nonparametric Analysis of Covariance with Ordered Alternatives

有序备择下的非参数协方差分析

SUMMARY The problem of comparing k populations with respect to a univariate response variable Y against an ordered alternative is considered when a covariate X is taken into account using the matched-observations method of Quade (1982). Two test statistics are considered: one is Quade's statistic generalized for arbitrary k and the second is the Terpstra-Jonckheere statistic generalized for grouped data. Some simulations are carried out to study their small sample…

AI 解读阅读原文 ↗BibTeX ↓