期刊簡介預計審稿時間： 較快,2-4周

Computational Statistics and Data Analysis (CSDA), an Official Publication of the network Computational and Methodological Statistics (CMStatistics) and of the International Association for Statistical Computing (IASC), is an international journal dedicated to the dissemination of methodological research and applications in the areas of computational statistics and data analysis. The journal consists of four refereed sections which are divided into the following subject areas:

I) Computational Statistics - Manuscripts dealing with: 1) the explicit impact of computers on statistical methodology (e.g., Bayesian computing, bioinformatics,computer graphics, computer intensive inferential methods, data exploration, data mining, expert systems, heuristics, knowledge based systems, machine learning, neural networks, numerical and optimization methods, parallel computing, statistical databases, statistical systems), and 2) the development, evaluation and validation of statistical software and algorithms. Software and algorithms can be submitted with manuscripts and will be stored together with the online article.

II) Statistical Methodology for Data Analysis - Manuscripts dealing with novel and original data analytical strategies and methodologies applied in biostatistics (design and analytic methods for clinical trials, epidemiological studies, statistical genetics, or genetic/environmental interactions), chemometrics, classification, data exploration, density estimation, design of experiments, environmetrics, education, image analysis, marketing, model free data exploration, pattern recognition, psychometrics, statistical physics, image processing, robust procedures.

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III) Special Applications - [...]

IV) Annals of Statistical Data Science [...]

計算統計與數據分析 (CSDA) 是計算與方法統計網絡 (CMStatistics) 和國際統計計算協會 (IASC) 的官方出版物，是一本致力于傳播計算統計和數據分析領域的方法研究和應用的國際期刊。該期刊由四個評審部分組成，分為以下主題領域：

I) 計算統計 - 涉及以下內容的稿件：1) 計算機對統計方法的明確影響（例如，貝葉斯計算、生物信息學、計算機圖形學、計算機密集型推理方法、數據探索、數據挖掘、專家系統、啟發式、基于知識的系統、機器學習、神經網絡、數值和優化方法、并行計算、統計數據庫、統計系統），以及 2) 統計軟件和算法的開發、評估和驗證。軟件和算法可以與稿件一起提交，并與在線文章一起存儲。

II）數據分析的統計方法 - 涉及生物統計學（臨床試驗、流行病學研究、統計遺傳學或遺傳/環境相互作用的設計和分析方法）、化學計量學、分類、數據探索、密度估計、實驗設計、環境計量學、教育、圖像分析、營銷、無模型數據探索、模式識別、心理測量學、統計物理、圖像處理、穩健程序的新穎和原創數據分析策略和方法的稿件。

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III）特殊應用 - [...]

IV）統計數據科學年鑒 [...]

《Computational Statistics & Data Analysis》(計算統計和數據分析)編輯部通訊方式為ELSEVIER SCIENCE BV, PO BOX 211, AMSTERDAM, NETHERLANDS, 1000 AE。如果您需要協助投稿或潤稿服務，您可以咨詢我們的客服老師。我們專注于期刊咨詢服務十年，熟悉發表政策，可為您提供一對一投稿指導，避免您在投稿時頻繁碰壁，節省您的寶貴時間，有效提升發表機率，確保SCI檢索（檢索不了全額退款）。我們視信譽為生命，多方面確保文章安全保密，在任何情況下都不會泄露您的個人信息或稿件內容。