{"title":"The Canadian Statistical Sciences Institute 2003–2022","authors":"Mary Thompson, Nancy Reid, Don Estep","doi":"10.1002/cjs.11716","DOIUrl":null,"url":null,"abstract":"<p>This article describes the founding and growth of the Canadian Statistical Sciences Institute (CANSSI), starting from its early roots and continuing through to establishment as a mature research enterprise. The goal is to present a historical record of events and activities that were important in the development of CANSSI.</p>","PeriodicalId":55281,"journal":{"name":"Canadian Journal of Statistics-Revue Canadienne De Statistique","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cjs.11716","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Canadian Journal of Statistics-Revue Canadienne De Statistique","FirstCategoryId":"100","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cjs.11716","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 0
Abstract
This article describes the founding and growth of the Canadian Statistical Sciences Institute (CANSSI), starting from its early roots and continuing through to establishment as a mature research enterprise. The goal is to present a historical record of events and activities that were important in the development of CANSSI.
期刊介绍：
The Canadian Journal of Statistics is the official journal of the Statistical Society of Canada. It has a reputation internationally as an excellent journal. The editorial board is comprised of statistical scientists with applied, computational, methodological, theoretical and probabilistic interests. Their role is to ensure that the journal continues to provide an international forum for the discipline of Statistics.
The journal seeks papers making broad points of interest to many readers, whereas papers making important points of more specific interest are better placed in more specialized journals. The levels of innovation and impact are key in the evaluation of submitted manuscripts.
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