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        <title>New Developments in Data Science and Data Analytics</title>
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        <description>New Developments in Data Science and Data Analytics

Proceedings of the 2019 Meeting of the International Society for Data Science and Analytics

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</description>
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        <description>Latent Growth Curve Models with VAR Residuals for Longitudinal Mediation Analysis


Xiao Liu

University of Notre Dame, Notre Dame IN 46556, USA

xliu19@nd.edu

Abstract. Mediation analysis using longitudinal data has become increasingly
popular. To perform longitudinal mediation analysis, different
models have been proposed, such as the latent growth curve mediation
model (LGCM) and the cross-lagged panel mediation model (CLPM).
In the current study, we proposed an alternative longitudinal medi…</description>
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        <description>A Nonparametric Multivariate Statistical
Process Control Chart Based on Change Point
Model


Ya Fei Xu

Beijing AI Lab, VIVO Communication Technology Co. Ltd., China

yafei.xu@hotmail.de 

Ostap Okhrin

Chair of Econometrics and Statistics, Technische Universitat Dresden, Germany</description>
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        <description>WeibullR: An R Package for Weibull Analysis
for Reliability Engineers

David J. Silkworth

OpenReliability.org

djsilk@openreliability.org

Abstract. The WeibullR package provides a 
flexible data entry capability
with three levels of usage. Quick Fit Functions, wblr object model,
and technical back end functions. WeibullR should appeal to the newest
practitioners to the R community as well as seasoned researchers willing
to examine deeper aspects of analysis.</description>
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        <description>Pivot Analysis in Weighted Linear Regression


Yuancheng Si

School of Mathematics, University of Manchester, Manchester M13 9PL, UK

yuancheng.si@postgrad.manchester.ac.uk

Abstract. According to Lutzer (2017), the simple linear regression lines
based on repeating single observations from a given dataset pivot at a
certain pivotal point. In this paper, we discuss this behavior in a more
general case and give an explanation about the pivot behavior.</description>
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        <description>MCMC Bootstrap Based Approach to Power
and Sample Size Evaluation


Oleksandr Mykolayovich Ocheredko

National Pirogov Memorial Medical University, 21008 Vinnytsya, Ukraine

&lt;https://www.vnmu.edu.ua/en/department/department/10#&gt;

Ocheredko@vnmu.edu.ua

Abstract. Power calculation is an important and evergreen applied statistical
avenue. This study delivers suggestions on enrichment of the statistical
tools by a combination of bootstrap and MCMC modeling. Novelty
suggests application of possible …</description>
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        <description>An Application of Aspect-Based Sentiment
Analysis on Teaching Evaluation


Wen Qu and Zhiyong Zhang

University of Notre Dame, Notre Dame IN 46556, USA

wqu@nd.edu

Abstract. With the rapid development of new techniques, text mining
has become explosively popular in the past two decades. Various techniques
and methods have been developed to manage and analyze text
data to exploit the information underlying the text. Among them, the
aspect-based sentiment analysis (ABSA), which is a research fiel…</description>
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        <description>Exploring Spatio-temporal Patterns of Air
Quality Index Data in China


Haokun Tang

School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

Yulin Xie

Jiangsu Tianyi High School, Wuxi, China

Binbin Lu

School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China</description>
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        <description>VBTree Tutorial: Automatic Completion of
Group Operation on Structural Dataset


Chen Zhang

Department of Materials Processing, Graduate School of Engineering, Tohoku University, Sendai, JAPAN

chenzhang2013@imr.tohoku.ac.jp

Huakang Bian, Kenta Yamanaka, and Akihiko Chiba</description>
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        <description>On the Relationship between Factor Analysis
and Principal Component Analysis in
High-Dimensions?


Kentaro Hayashi

University of Hawaii at Manoa, USA

hayashik@hawaii.edu

Ke-Hai Yuan 

University of Notre Dame, USA

kyuan@nd.edu

Abstract. This article reviews the relationship between loadings from
factor analysis (FA) and those from principal component analysis (PCA)
when the number of variables p is large. While FA and PCA are substantively
different methodologies, the two loading matrices a…</description>
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        <description>Reliabilities with Ordered Response Categories
Items


Seohyun Kim

The University of Virginia, USA

Zhenqiu (Laura) Lu and Allan Cohen

The University of Georgia, USA

zlu@uga.edu

Abstract. 

Abstract. This study proposed a structural equation modeling (SEM)
approach to test reliabilities with items having ordered response categories.
The number of categories in the test can be equal or unequal for
all items. A simulation study was conducted to evaluate the performance
of this proposed reliabi…</description>
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        <title>isdsapress:books:isdsa2019:isdsa2019c11</title>
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        <description>More Accurate Estimators of Multiple
Correlation Coefficient?


Bingjiang Li and Lu Peng

Nanjing University of Posts and Telecommunications, China

1218084111@njupt.edu.cn

Kentaro Hayashi

University of Hawaii at Manoa, USA

Ke-Hai Yuan

University of Notre Dame, USA$R^2$$R^2$$\rho^2$$p$$R^2$$R^2$$R_{adj}^2$$N$$p$$R_{adj}^2$$\rho^2$$\rho$$R$$N$$p$$R$$\rho$$R$$R$$R_{adj}$</description>
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        <dc:date>2020-05-25T01:17:59+0000</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Book Order</title>
        <link>https://isdsa.org/isdsapress/books/isdsa2019/order?rev=1590369479&amp;do=diff</link>
        <description>Book Order

Title

New Developments in Data Science and Data Analytics： Proceedings of the 2019 Meeting of the International Society for Data Science and Analytics.

Editors

	*  Zhiyong Zhang
	*  Ke-Hai Yuan
	*  Yong Wen
	*  Jiashan Tang

Price

List Price: \$39.95.
Tax: 7% (Indiana State Tax)
Shipping: \$5.99</description>
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