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Titlebook: Case Studies in Data Analysis; Jane F. Gentleman,G. A. Whitmore Book 1994 Springer-Verlag New York, Inc. 1994 Area.Simula.Volume.boundary

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发表于 2025-3-21 19:34:27 | 显示全部楼层 |阅读模式
书目名称Case Studies in Data Analysis
编辑Jane F. Gentleman,G. A. Whitmore
视频videohttp://file.papertrans.cn/223/222256/222256.mp4
丛书名称Lecture Notes in Statistics
图书封面Titlebook: Case Studies in Data Analysis;  Jane F. Gentleman,G. A. Whitmore Book 1994 Springer-Verlag New York, Inc. 1994 Area.Simula.Volume.boundary
描述This volume is a collection of eight Case Studies in Data Analysis that appeared in various issues of the Canadian Journal of Statistics (OS) over a twelve­ year period from 1982 to 1993. One follow-up article to Case Study No.4 is also included in the volume. The OS‘s Section on Case Studies in Data Analysis was initiated by a former editor who wanted to increase the analytical content of the journal. We were asked to become Section Co-Editors and to develop a format for the case studies. Each case study presents analyses of a real data set by two or more analysts or teams of analysts working independently in a simulated consulting context. The section aimed at demonstrating the process of statistical analysis and the possible diversity of approaches and conclusions. For each case study, the Co-Editors found a set of real Canadian data, posed what they thought was an interesting statistical problem, and recruited analysts working in Canada who were willing to tackle it. The published case studies describe the data and the problem, and present and discuss the analysts‘ solutions. For some case studies, the providers of the data were invited to contribute their own analysis.
出版日期Book 1994
关键词Area; Simula; Volume; boundary element method; chemistry; data analysis; pattern; patterns; sets
版次1
doihttps://doi.org/10.1007/978-1-4612-2688-8
isbn_softcover978-0-387-94410-4
isbn_ebook978-1-4612-2688-8Series ISSN 0930-0325 Series E-ISSN 2197-7186
issn_series 0930-0325
copyrightSpringer-Verlag New York, Inc. 1994
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https://doi.org/10.1007/978-1-4302-0870-9ing beer chemistry and consumer preferences for beer. The second data set consisted of chemical measurements on a holdout sample of 37 beers. The analysts were asked to employ their statistical model to predict consumer preferences for the beers in the holdout sample. The case study assesses the success of their modelling efforts.
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In with the New, Out with the Old,ng season. The analysts’ task was to use the data to construct a probabilistic forecasting model of iceberg motion which could provide a platform operator with an estimate of the collision risk posed to the platform by a nearby iceberg.
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Making Contact with CompuServe,ion periods ranging over several recent decades. Their assignment was to calculate point and interval estimates of 10-, 20-, 50-, and 100-year return values (i.e., upper fractiles) for the wind speeds at these stations.
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Measuring the impact of an intervention on equipment lives,ives of the hundreds of cells in service at the time. This study describes the background and outcome of the court case and presents the data used by expert witnesses to argue for and against the company’s claim. Our analysts independently examine the data and arrive at their own conclusions.
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Iceberg paths and collision risks for fixed marine structures,ng season. The analysts’ task was to use the data to construct a probabilistic forecasting model of iceberg motion which could provide a platform operator with an estimate of the collision risk posed to the platform by a nearby iceberg.
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Extreme-value analysis of Canadian wind speeds,ion periods ranging over several recent decades. Their assignment was to calculate point and interval estimates of 10-, 20-, 50-, and 100-year return values (i.e., upper fractiles) for the wind speeds at these stations.
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