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Selected contributions on statistics...

Antoniano-Villalobos, Isadora.

Selected contributions on statistics and data science in Latin America33 FNE and 13 CLATSE, 2018, Guadalajara, Mexico, October 1-5 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Selected contributions on statistics and data science in Latin Americaedited by Isadora Antoniano-Villalobos ... [et al.].
Reminder of title:	33 FNE and 13 CLATSE, 2018, Guadalajara, Mexico, October 1-5 /
other author:	Antoniano-Villalobos, Isadora.
Published:	Cham :Springer International Publishing :2019.
Description:	viii, 154 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Mathematical statistics
Online resource:	https://doi.org/10.1007/978-3-030-31551-1
ISBN:	9783030315511$q(electronic bk.)

Selected contributions on statistics and data science in Latin America33 FNE and 13 CLATSE, 2018, Guadalajara, Mexico, October 1-5 /
Selected contributions on statistics and data science in Latin America33 FNE and 13 CLATSE, 2018, Guadalajara, Mexico, October 1-5 /[electronic resource] :edited by Isadora Antoniano-Villalobos ... [et al.]. - Cham :Springer International Publishing :2019. - viii, 154 p. :ill., digital ;24 cm. - Springer proceedings in mathematics & statistics,v.3012194-1009 ;. - Springer proceedings in mathematics & statistics ;v.19..

Anzarut, M., Gonzalez, L. F., and Ortiz, M. T: A Heavy-tailed Multilevel Mixture Model for the Quick Count in the Mexican Elections of 2018 -- Baltazar, F. and Esparza, L. J. R: Bayesian estimation for the Markov-Modulated Diffusion Risk Model -- Sergio, A. B., Johny, J. P., Ana, B. N., and Puriﬁcacion, G: Meta-analysis in DTA with hierarchical models Bivariate and HSROC: Simulation study -- Coen, A. and Chaparro, B. G: Compound Dirichlet Processes -- Gutierrez, E. and Walker, S. G: An efﬁcient method to determine the degree of overlap of two multivariate distributions -- Martinez, A. F.: Clustering via non-symmetric partition distributions -- Naranjo, L., Fuentes, R., and Perez, C, J: A Flexible Replication-Based Classiﬁcation Approach for Parkinson's Disease Detection by Using Voice Recordings -- Novoa, F., Espinoza, S. C., Perez, A. C., and Duque, I. H: Calibration of population growth mathematical models by using time series -- Castro, E. P., Jaimes, F. G., Rodriguez, E. B., Carreto, R. R., Roque, R. L., Leyva, V. V: Impact of the Red Code process using structural equation models -- Esparza, L. J. R.: On a construction of stationary processes via Bilateral Matrix-Exponential distributions -- Richards, E. I. V., Gallagher, E., and Suarez, P: BoostNet: Bootstrapping detection of socialbots, and a case study from Guatemala.

The volume includes a collection of peer-reviewed contributions from among those presented at the main conference organized yearly by the Mexican Statistical Association (AME) and every two years by a Latin-American Confederation of Statistical Societies. For the 2018 edition, particular attention was placed on the analysis of highly complex or large data sets, which have come to be known as "big data". Statistical research in Latin America is prolific and research networks span within and outside the region. The goal of this volume is to provide access to selected works from Latin-American collaborators and their research networks to a wider audience. New methodological advances, motivated in part by the challenges of a data-driven world and the Latin American context, will be of interest to academics and practitioners around the world.

ISBN: 9783030315511$q(electronic bk.)

Standard No.: 10.1007/978-3-030-31551-1doiSubjects--Topical Terms:

182294
Mathematical statistics

LC Class. No.: QA276.A1 / S45 2019

Dewey Class. No.: 519.5

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520 $a The volume includes a collection of peer-reviewed contributions from among those presented at the main conference organized yearly by the Mexican Statistical Association (AME) and every two years by a Latin-American Confederation of Statistical Societies. For the 2018 edition, particular attention was placed on the analysis of highly complex or large data sets, which have come to be known as "big data". Statistical research in Latin America is prolific and research networks span within and outside the region. The goal of this volume is to provide access to selected works from Latin-American collaborators and their research networks to a wider audience. New methodological advances, motivated in part by the challenges of a data-driven world and the Latin American context, will be of interest to academics and practitioners around the world.
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