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AMERICAN STATISTICIAN

Taylor & Francis SCIE 非OA

2026新锐 4区2025中科院 3区2025 JCR Q1

查看审稿周期计算与数据来源报告数据问题

252.7平均天数

199中位天数

1最短天数

756最长天数

592025发文量

Paper Review Records

全部论文审稿周期

10 篇有效样本 · 按发表日期由新到旧排列
审稿天数=录用日期-收稿日期；保留 PDF/DOI/网页源链接

1 天

From AI to Statistics: On LLM-Based Agents for Data Science

收稿 2026-06-14 录用 2026-06-15 发表 2026-07-23

作者Chuanhai Liu

作者单位1. Department of Statistics, Purdue University

PDF源文件 DOI 网页

2 天

Rejoinder to the Discussions on “A Survey on Large Language Model-based Agents for Statistics and Data Science”

收稿 2026-06-07 录用 2026-06-09 发表 2026-07-23

作者Maojun Sun; Ruijian Han; Binyan Jiang; Houduo Qi; Defeng Sun; Yancheng Yuan; Jian Huang

作者单位1. Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University; 2. Department of Applied Mathematics, The Hong Kong Polytechnic University

PDF源文件 DOI 网页

189 天

Discussion: “A Survey on Large Language Model–Based Agents for Statistics and Data Science” by Sun et al. (2025)

收稿 2025-12-07 录用 2026-06-14 发表 2026-07-23

作者Gul Inan

作者单位1. Department of Mathematics, Koç University

PDF源文件 DOI 网页

382 天

The Accuracy and Replicability of Data Analysis Performed with Large Language Models

收稿 2025-05-21 录用 2026-06-07 发表 2026-07-16

作者Justus Eaglesmith; Tim Johnson; Robert W. Walker

作者单位1. Atkinson School of Management, Willamette University

PDF源文件 DOI 网页

756 天

An Advanced Course in Probability and Stochastic Processes (by Dirk P. Kroese and Zdravko I. Botev)

收稿 2024-03-08 录用 2026-04-03 发表 2026-06-15

作者Samantha Leorato

作者单位1. University of Milan

PDF源文件 DOI 网页

488 天

Neural Autoregressive Flows Based Variational Bayes Model Averaging

收稿 2024-11-22 录用 2026-03-25 发表 2026-05-13

作者Jiefu Zhou; Shrijita Bhattacharya

作者单位1. Department of Statistics and Probability, Michigan State University

PDF源文件 DOI 网页

125 天

Introduction to Political Analysis in R

收稿 2025-10-12 录用 2026-02-14 发表 2026-04-15

作者Cory McCartan

作者单位1. Pennsylvania State University, University Park

PDF源文件 DOI 网页

209 天

A Design for Observational Studies in Which Some People Avoid Treatment

收稿 2025-06-25 录用 2026-01-20 发表 2026-03-23

作者Paul R. Rosenbaum

作者单位1. Department of Statistics and Data Science, Wharton School of the University of Pennsylvania

PDF源文件 DOI 网页

141 天

Multivariate Statistics: Classical Foundations and Modern Machine Learning

收稿 2025-06-23 录用 2025-11-11 发表 2026-03-12

作者Dankmar Böhning

作者单位1. University of Southampton

PDF源文件 DOI 网页

234 天

On the Number of Replications in Resampling Tests and Monte Carlo Simulation Studies

收稿 2025-04-20 录用 2025-12-10 发表 2026-03-12

作者Daniel Gaigall; Julian Gerstenberg

作者单位1. FH Aachen – University of Applied Sciences; 2. Leibniz University Hannover; 3. Goethe University Frankfurt

PDF源文件 DOI 网页

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客户询问

我是环境工程专业，需要一篇 SCI，希望 3 个月内见刊。没有基金，也没有大牛挂名，可以投哪些期刊？

CrushSCI回复

可以。先按 90 天时限做可行性筛选，同步查找无基金、无知名作者挂靠的典型论文案例，作为选刊依据。重点核对研究质量与期刊 scope。

拟题建议: 《融合机器学习与生命周期评价的城市污水处理碳排放预测与优化》
数据库初筛: Environmental Technology & Innovation

样本口径2026 年最近 5 篇有效论文样本

平均审稿96.4 天

中位数77 天

AMERICAN STATISTICIAN

全部论文审稿周期

From AI to Statistics: On LLM-Based Agents for Data Science

Rejoinder to the Discussions on “A Survey on Large Language Model-based Agents for Statistics and Data Science”

Discussion: “A Survey on Large Language Model–Based Agents for Statistics and Data Science” by Sun et al. (2025)

The Accuracy and Replicability of Data Analysis Performed with Large Language Models

An Advanced Course in Probability and Stochastic Processes (by Dirk P. Kroese and Zdravko I. Botev)

Neural Autoregressive Flows Based Variational Bayes Model Averaging

Introduction to Political Analysis in R

A Design for Observational Studies in Which Some People Avoid Treatment

Multivariate Statistics: Classical Foundations and Modern Machine Learning

On the Number of Replications in Resampling Tests and Monte Carlo Simulation Studies

把投稿要求，转成可验证的期刊方案

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AMERICAN STATISTICIAN

全部论文审稿周期

From AI to Statistics: On LLM-Based Agents for Data Science

Rejoinder to the Discussions on “A Survey on Large Language Model-based Agents for Statistics and Data Science”

Discussion: “A Survey on Large Language Model–Based Agents for Statistics and Data Science” by Sun et al. (2025)

The Accuracy and Replicability of Data Analysis Performed with Large Language Models

An Advanced Course in Probability and Stochastic Processes (by Dirk P. Kroese and Zdravko I. Botev)

Neural Autoregressive Flows Based Variational Bayes Model Averaging

Introduction to Political Analysis in R

A Design for Observational Studies in Which Some People Avoid Treatment

Multivariate Statistics: Classical Foundations and Modern Machine Learning

On the Number of Replications in Resampling Tests and Monte Carlo Simulation Studies

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