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International
Conference on Statistical Distributions and Applications Oct. 10-12, 2019, at Eberhard Conference Center, Grand Rapids, MI, USA |
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Recent Alert on Feb. 12,2020 Thanks
to all participants of the ICOSDA 2019. The success of the conference was all
because of your participation. You are welcome to submit your article
to the Special Thematic Series of the Journal of Statistical Distributions
and Applications (JSDA). We offer full waiver (100%
discount) of the Article Processing Charge (APC) for papers accepted for the Thematic
Series until the fund is exhausted. The submission deadline
is May 31, 2020. The
JSDA web site is at https://jsdajournal.springeropen.com/
. The
APC Discount Code is AL-CMU-JSDA-1016 |
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Call for Papers (Expired) |
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The scopes of the conference include, but not
limited to A.
Statistical distributions in the era of big data ·
The
methodological research on distributions in modern techniques for analyzing
big data, ·
The
applications of distributions for analyzing big data, ·
Discussion
papers on the pros/cons of the roles of distributions for analyzing big data. B. Statistical distributions (univariate, multivariate, continuous
and discrete) and applications ·
Methodologies for generating new
distributions ·
Properties and applications of
generalized distributions ·
Statistical inferences,
parameter estimation, goodness of fit, etc. C. Statistical modeling ·
Modeling techniques using
generalized distributions, ·
Predictive modeling for big
data, ·
Survival and reliability
modeling using generalized distributions, ·
Techniques of estimation and
model selection. D. High dimensional data analysis ·
Dimension reduction, ·
Visualization, ·
Techniques of modeling high
dimensional data. E.
Bayesian
Statistics ·
Bayesian
priors using generalized distributions, ·
Bayesian
estimation techniques for generalized distributions, ·
Bayesian
techniques for statistical modeling. The types of Presentations: Keynotes, Plenary, Topic-Invited, General-Invited and Student Poster
**
Invitation to organize a Topic-Invited session ** [Expired] We cordially invite you to organize a
Topic-Invited session and serve as a member of the Scientific Program
Committee. For details, please visit the “Call
for papers” Page. |
Announcement: New Department
of Statistics, Actuarial and Data Sciences launched July 1st,
2019 Graduate
Programs offered in the new department:
PhD in
Statistics and Analytics MS in Applied Statistics & Analytics Accelerate MS in Applied & Analytics Graduate Certificate in Data Mining Graduate Certificate in Actuarial Science Undergraduate
Programs offered in the new department:
BS in Actuarial Science BS in Statistics Minor in Statistics For admission and scholarship support: See web site www.se.cmich.edu/stad |
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Invitation to submit
papers presented at the conference for the ICOSDA
2019 Thematic Series in the Journal of Statistical Distributions and Applications
(JSDA) The conference
presenters are invited to submit their articles for consideration of
publication in the ICSODA 2019 Thematic Series of the journal, Journal of Statistical Distributions and
Applications (http://www.JSDAjournal.com/ ). The submitted papers will go through
the same peer review process as regular submissions. The procedure for
submitting to the ICOSDA 2019 Thematic Series will be posted when it is
available. ·
The deadline for paper submission to the ICOSDA
2019 Thematic Series is May 31, 2020. ·
We have a
limited funding to partially support the Article Processing Charge (APC). Accepted
papers will receive full waiver (`100% discount) of APC until the fund is
exhausted. The confirmed discount percent and discount code is AL-CMU-JSDA-1016 |
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Conference Organizing Co-Chairs |
e-mail address |
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Felix Famoye |
Professor, Department of Statistics, Actuarial
and Data Sciences, Central Michigan University, Mt. Pleasant, MI , USA |
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Carl Lee |
Chair and Professor, Department of
Statistics, Actuarial and Data Sciences, Central Michigan University, Mt.
Pleasant, MI , USA |
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Thanks to
the conference sponsors |
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STATA |
Cambridge
Press |
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Cengage |
Oxford Press |
SAS |
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Pearson Publishing |
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