(ISI)\nStatistical Analysis with Missing Data, Third Edition is an ideal textbook for upper undergraduate and/or beginning graduate level students of the subject. It is also an excellent source of information for applied statisticians and practitioners in government and industry.
@文心快码statistical analysis with missing data 文心快码 在统计学分析中处理缺失数据是一个重要且常见的挑战。以下是根据你的提示,对如何处理缺失数据并进行统计分析的分点回答: 确定缺失数据的类型和原因: 缺失数据的类型可以分为完全随机缺失(MCAR)、随机缺失(MAR)和非随机缺失(MNAR)。 确定缺失数据的原因对于...
An up-to-date, comprehensive treatment of a classic text on missing data in statistics The topic of missing data has gained considerable attention in recent decades. This new edition by two acknowledged experts on the subject offers an up-to-date account of practical methodology for handling miss...
Statistical Analysis With Missing Data-1 热度: Statistical Analysis with Missing Data-[2]-[Roderick J A Little, Donald B Rubin] 热度: Statistical Data Analysis Explained - Applied Environmental Statistics with R. 热度: 相关推荐 Brochure Moreinformationfromhttp://.researchandmarkets/reports/...
Statistical Analysis With Missing Data, Third Edition 英文原版 缺失数据的统计分析 (第3版) Roderick Little 基本信息 By (author) Roderick J. a. Little , By (author) Donald B. Rubin Format Hardback | 464 pages Dimensions 167 x 238 x 28mm | 850g ...
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We used the mean value imputation method to estimate missing data in two groups and then repeated all the univariate and multivariate analyses. The results were then compared in the two different samples. If the sensitivity analysis is consistent with the results of the primary analysis, it shows...
Statistical Analysis with Missing Data-[2]-[Roderick J A Little, Donald B Rubin] 热度: Using R and RStudio for Data Management, Statistical Analysis and Graphics-[2]-[Nicholas J Horton, Ken Kleinman] 热度: 406 StatisticalAnalysiswithExcelForDummies,2ndEdition ...
Analyze any kind and size of data using the latest statistical analysis techniques. SAS/STAT statistical software includes exact techniques for small data sets, high-performance statistical modeling tools for large data tasks and modern methods for analyzing data with missing values. And because the ...