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isdsapress:books:isdsa2019:index
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====== New Developments in Data Science and Data Analytics ====== | ====== New Developments in Data Science and Data Analytics ====== | ||
===== Proceedings of the 2019 Meeting of the International Society for Data Science and Analytics ===== | ===== Proceedings of the 2019 Meeting of the International Society for Data Science and Analytics ===== | ||
- | ==== Authors ==== | + | |
+ | This conference proceeding represents presentations given at the Annual Meeting of the International Society for Data Science and Analytics (ISDSA) in Nanjing, China, during July 6--8, 2019. The Annual Meeting of ISDSA aims to provide a global forum for researchers and practitioners in the field of data science and data analytics to communicate and showcase their latest research. The meeting was designed to have a single plenary session with invited talks to maximize intellectual exchanges. | ||
+ | |||
+ | The 2019 Meeting had more than 50 attendees with 28 presentations. The researchers were from different academic disciplines and industries from multiple countries. They presented applications and methods in the areas of education, environmental research, medical research, political science, psychology, and so on. | ||
+ | |||
+ | ==== Editors ==== | ||
* Zhiyong Zhang | * Zhiyong Zhang | ||
* Ke-Hai Yuan | * Ke-Hai Yuan | ||
* Yong Wen | * Yong Wen | ||
* Jiashan Tang | * Jiashan Tang | ||
+ | |||
+ | [[https://www.amazon.com/gp/product/1946728039/ref=as_li_tl?ie=UTF8&camp=1789&creative=9325&creativeASIN=1946728039&linkCode=as2&tag=psychstatorg-20&linkId=eee77eb23f03baceda9476e29c3be235|{{:isdsapress:books:isdsa2019:cover-isdsa-2019-proceedings.jpg?800}}]] | ||
==== Chapters ==== | ==== Chapters ==== | ||
- | * [[isdsa2019c1|WeibullR: An R Package for Weibull Analysis for Reliability Engineers]] | + | - [[isdsa2019c1|Latent Growth Curve Models with VAR Residuals for Longitudinal Mediation Analysis]] \\ //Xiao Liu// |
- | * [[isdsa2019c2|A Nonparametric Multivariate Statistical Process Control Chart Based on Change Point Model]] | + | - [[isdsa2019c2|A Nonparametric Multivariate Statistical Process Control Chart Based on Change Point Model]] \\ //Ya Fei Xu and Ostap Okhrin// |
+ | - [[isdsa2019c3|WeibullR: An R Package for Weibull Analysis for Reliability Engineers]]\\ //David J. Silkworth// | ||
+ | - [[isdsa2019c4|Pivot Analysis in Weighted Linear Regression]] \\ //Yuancheng Si// | ||
+ | - [[isdsa2019c5|MCMC Bootstrap Based Approach to Power and Sample Size Evaluation]]\\ //Oleksandr Mykolayovich Ocheredko// | ||
+ | - [[isdsa2019c6|An Application of Aspect-Based Sentiment Analysis on Teaching Evaluation]]\\ //Wen Qu and Zhiyong Zhang// | ||
+ | - [[isdsa2019c7|Exploring Spatio-temporal Patterns of Air Quality Index Data in China]]\\ //Haokun Tang, Yulin Xie, and Binbin Lu// | ||
+ | - [[isdsa2019c8|VBTree Tutorial: Automatic Completion of Group Operation on Structural Dataset]]\\ //Chen Zhang, Huakang Bian, Kenta Yamanaka, and Akihiko Chiba// | ||
+ | - [[isdsa2019c9|On the Relationship between Factor Analysis and Principal Component Analysis in High-Dimensions]]\\ //Kentaro Hayashi and Ke-Hai Yuan// | ||
+ | - [[isdsa2019c10|Reliabilities with Ordered Response Categories Items]]\\ //Seohyun Kim, Zhenqiu (Laura) Lu, and Allan Cohen// | ||
+ | - [[isdsa2019c11|More Accurate Estimators of Multiple Correlation Coefficient]]\\ //Bingjiang Li, Lu Peng, Kentaro Hayashi, and Ke-Hai Yuan// | ||
+ | |||
+ | ==== Where to buy? ==== | ||
+ | |||
+ | * You can order a copy on our website directly, click the "Buy Now” button below. \\ <html><form action="https://www.paypal.com/cgi-bin/webscr" method="post" target="_top"> | ||
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+ | * To order a hard copy from Amazon, click the link below: Price: $39.99. <html> <a target="_blank" href="https://www.amazon.com/gp/product/1946728039/ref=as_li_tl?ie=UTF8&camp=1789&creative=9325&creativeASIN=1946728039&linkCode=as2&tag=psychstatorg-20&linkId=eee77eb23f03baceda9476e29c3be235">New Developments in Data Science and Data Analytics: Proceedings of the 2019 Meeting of International Society for Data Science and Analytics</a><img src="//ir-na.amazon-adsystem.com/e/ir?t=psychstatorg-20&l=am2&o=1&a=1946728039" width="1" height="1" border="0" alt="" style="border:none !important; margin:0px !important;" /></html>. | ||
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