《Canadian Journal Of Statistics-revue Canadienne De Statistique》雜志的最新年發文量為42篇。
這表明該刊在每年都會精選并發表一定數量的高質量文章，以保持其在統計學與概率論領域的學術影響力。
該刊聚焦于數學-統計學與概率論領域的前沿研究，致力于推動該領域新技術和新知識的傳播與應用。同時它積極鼓勵研究人員詳細發表其高質量的實驗研究和理論成果。
該刊的平均審稿周期約為 12周，或約稿 。
Canadian Journal Of Statistics-revue Canadienne De Statistique 雜志發文統計
文章名稱引用次數
- Post-selection inference for 1-penalized likelihood models15
- Big data and partial least-squares prediction6
- Prior-based model checking5
- Variable selection for recurrent event data with broken adaptive ridge regression4
- CVX-based algorithms for constructing various optimal regression designs2
- On the minimum coverage probability of model averaged tail area confidence intervals2
- Linear operator-based statistical analysis: A useful paradigm for big data2
- Online updating method with new variables for big data streams2
- A new integrated likelihood for estimating population size in dependent dual-record system2
- Distance-based depths for directional data2
