中文簡介

《統(tǒng)計與概率快報》采用了一種新穎和高度創(chuàng)新的方法來發(fā)表統(tǒng)計與概率方面的研究成果。其特點是文章簡潔，出版速度快，統(tǒng)計和概率文獻(xiàn)覆蓋面廣?！督y(tǒng)計與概率快報》是一本參考期刊。文章將被限制在六個期刊頁(13雙空格打印頁)，包括參考文獻(xiàn)和數(shù)字。除了六頁的限制，創(chuàng)造性，質(zhì)量和清晰度將是選擇材料發(fā)表在統(tǒng)計和概率信的標(biāo)準(zhǔn)。我們將盡力在投稿后三個月內(nèi)對稿件進(jìn)行第一次評審。文獻(xiàn)的激增和長期的出版延遲使得研究人員和實踐者很難跟上他們的專業(yè)領(lǐng)域之外甚至內(nèi)部的新發(fā)展。統(tǒng)計和概率字母的目的是幫助緩解這個問題。簡明的通信(書信)使讀者能夠快速、輕松地消化大量材料，并跟上所有統(tǒng)計和概率領(lǐng)域的最新發(fā)展。信件的主流將集中在新的統(tǒng)計方法，理論結(jié)果，以及創(chuàng)新的應(yīng)用統(tǒng)計和概率到其他科學(xué)學(xué)科。關(guān)鍵結(jié)果和中心思想必須以清晰簡潔的方式提出。這些結(jié)果可能是一個更大的研究的一部分，作者將在晚些時候作為一篇完整的論文提交給SPL或其他期刊。在發(fā)表理論和方法時，可以省略證據(jù)，或只作概略說明，但必須提供足夠的支持材料，以便證實研究結(jié)果。具有重要價值的經(jīng)驗和計算結(jié)果將發(fā)表。我們還計劃發(fā)布應(yīng)用程序和案例研究，這些應(yīng)用程序和案例研究展示了對現(xiàn)有技術(shù)的新穎使用，或?qū)?shù)據(jù)收集、建?；蛲评碛杏腥さ膭?chuàng)新想法。

投稿網(wǎng)址：http://ees.elsevier.com/stapro

英文簡介

Statistics & Probability Letters adopts a novel and highly innovative approach to the publication of research findings in statistics and probability. It features concise articles, rapid publication and broad coverage of the statistics and probability literature.Statistics & Probability Letters is a refereed journal. Articles will be limited to six journal pages (13 double-space typed pages) including references and figures. Apart from the six-page limitation, originality, quality and clarity will be the criteria for choosing the material to be published in Statistics & Probability Letters. Every attempt will be made to provide the first review of a submitted manuscript within three months of submission.The proliferation of literature and long publication delays have made it difficult for researchers and practitioners to keep up with new developments outside of, or even within, their specialization. The aim of Statistics & Probability Letters is to help to alleviate this problem. Concise communications (letters) allow readers to quickly and easily digest large amounts of material and to stay up-to-date with developments in all areas of statistics and probability.The mainstream of Letters will focus on new statistical methods, theoretical results, and innovative applications of statistics and probability to other scientific disciplines. Key results and central ideas must be presented in a clear and concise manner. These results may be part of a larger study that the author will submit at a later time as a full length paper to SPL or to another journal. Theory and methodology may be published with proofs omitted, or only sketched, but only if sufficient support material is provided so that the findings can be verified. Empirical and computational results that are of significant value will be published. We also plan to publish applications and case studies that demonstrate a novel use of existing techniques or have interesting innovative ideas about data collection, modelling or inference.