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Titlebook: Advanced Statistical Methods in Data Science; Ding-Geng Chen,Jiahua Chen,Hao Yu Book 2016 The Editor(s) (if applicable) and The Author(s),

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發(fā)表于 2025-3-21 16:58:59 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advanced Statistical Methods in Data Science
影響因子2023Ding-Geng Chen,Jiahua Chen,Hao Yu
視頻videohttp://file.papertrans.cn/147/146233/146233.mp4
發(fā)行地址Written by experts who are engaged in advanced statistical modeling in big-data sciences.Includes timely discussions and presentations on methodological development and real applications.Introduces pu
學(xué)科分類ICSA Book Series in Statistics
圖書封面Titlebook: Advanced Statistical Methods in Data Science;  Ding-Geng Chen,Jiahua Chen,Hao Yu Book 2016 The Editor(s) (if applicable) and The Author(s),
影響因子This book gathers invited presentations from the 2nd Symposium of the ICSA- CANADA Chapter held at the University of Calgary from August 4-6, 2015. The aim of this Symposium was to promote advanced statistical methods in big-data sciences and to allow researchers to exchange ideas on statistics and data science and to embraces the challenges and opportunities of statistics and data science in the modern world. ?It addresses diverse themes in advanced statistical analysis in big-data sciences, including methods for administrative data analysis, survival data analysis, missing data analysis, high-dimensional and genetic data analysis, longitudinal and functional data analysis, the design and analysis of studies with response-dependent and multi-phase designs, time series and robust statistics, statistical inference based on likelihood, empirical likelihood and estimating functions. The editorial group selected 14 high-quality presentations from this successful symposium and invitedthe presenters to prepare a full chapter for this book in order to disseminate the findings and promote further research collaborations in this area. This timely book offers new methods that impact advanced
Pindex Book 2016
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A Proportional Odds Model for Regression Analysis of Case I Interval-Censored Dataies, national ministries, international organisations and rights groups in the fields of economics, public finance, political economy, human rights and refugee law, and international relations and demography..978-3-030-09188-0978-3-319-75274-7
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Confidence Weighting Procedures for Multiple-Choice Testsrights approach,?the book elaborates on the legal and economic factors that impact refugees, on the one hand, and public policy, on the other. In conclusion, a balance that considers the national preferences of destination countries and the protection of refugee rights is proposed...?.978-3-031-61145-2978-3-031-61143-8
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2199-0980 itedthe presenters to prepare a full chapter for this book in order to disseminate the findings and promote further research collaborations in this area. This timely book offers new methods that impact advanced978-981-10-9662-4978-981-10-2594-5Series ISSN 2199-0980 Series E-ISSN 2199-0999
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F. M. Klis,A. F. J. Ram,P. W. J. De Grooterable drawbacks with regards to model misspecifications. Modeling and inference use the fully Bayesian approach via Markov Chain Monte Carlo (MCMC) simulation techniques. Our results indicate that both hurdle and zero inflated models accounting for clustering at the residential neighborhood level o
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