海外直订Missing and Modified Data in Nonparametric Estimation: W
¥1024
明星店铺 中华商务进口图书旗舰店
海外直订Nonparametric Curve Estimation: Methods, Theory, and App
¥1033
明星店铺 中华商务进口图书旗舰店
【预订】Missing and Modified Data in Nonparametric Estimation 97 美国库房发货,通常付款后3-5周到货!
Product Details 基本信息 ISBN-13 书号 9781138054882 Author 作者 Sam Efromovich Format 版本 精装 Pages Number 页数 443页 Publication Date 出版日期 2018-02-27 Language 语种 英语 Book Contents 内容简介 The book gives a unified approach to nonparametric curve estimation based on missing and modified data. Missing data includes cases of missing at random and missing not at random, while data modification includes truncation and censoring, typical in survival analysis, as well as measurement errors and amplitude modulation. A universal nonparametric series E-estimator is used whose statistical idea is based on estimation of a population mean by a corresponding sample mean. While the approach is straightforward, the asymptotic theory shows that no other estimator can outperform the E-estimator.
¥1142
海外直订Missing and Modified Data in Nonparametric Estimation: W
¥573.00
明星店铺 中华商务进口图书旗舰店
海外直订Nonparametric Curve Estimation: Methods, Theory, and App
¥1033
明星店铺 中华商务进口图书旗舰店
【预订】Missing and Modified Data in Nonparametric Estimation 97 国外库房发货,通常付款后3-5周到货!
Product Details 基本信息 ISBN-13 书号 9780367571986 Author 作者 Sam Efromovich Format 版本 平装-胶订 Pages Number 页数 464页 Publisher 出版社 Chapman and Hall/CRC Publication Date 出版日期 2020-06-30 Shipping Weight 商品重量 430g Language 语种 英语 Book Contents 内容简介 This book presents a systematic and unified approach for modern nonparametric treatment of missing and modified data via examples of density and hazard rate estimation, nonparametric regression, filtering signals, and time series analysis. All basic types of missing at random and not at random, biasing, truncation, censoring, and measurement errors are discussed, and their treatment is explained. Ten chapters of the book cover basic cases of direct data, biased data, nondestructive and destructive missing, survival data modified by truncation and censoring, missing survival data, stationary and nonstationary time series and pr
¥607.00