Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Carlos Alonso-Malaver"'
Autor:
Jessica Rubiano-Moreno, Carlos Alonso-Malaver, Samuel Nucamendi-Guillén, Carlos López-Hernández, Camilo Ramírez-Rojas
Publikováno v:
Revista CEA, Vol 9, Iss 21, Pp e2603-e2603 (2023)
Purpose: This study aimed to determine characteristic profiles of the Millennial generation based on their sociodemographic features and motivational preferences regarding work. It contributes to the literature on Millennial motivation and provides i
Externí odkaz:
https://doaj.org/article/af9f9276559e4db1a9b7cba074c56579
Autor:
Jesica Rubiano Moreno, Carlos Alonso Malaver, Samuel Nucamendi Guillén, Carlos López Hernández
Publikováno v:
Dyna, Vol 86, Iss 211, Pp 94-101 (2019)
The aim of this study is to introduce a new clustering method for ipsatives variables. This method can be used for nominals or ordinals variables for which responses must be mutually exclusive, and it is independent of data distribution. The proposed
Externí odkaz:
https://doaj.org/article/2c340f86e8134cae9c28c07698d28dd9
Autor:
Samuel Nucamendi Guillén, Carlos Alonso Malaver, Jessica Rubiano Moreno, Carlos Eduardo López Hernández
Publikováno v:
DYNA, Volume: 86, Issue: 211, Pages: 101-94, Published: DEC 2019
Dyna, Vol 86, Iss 211, Pp 94-101 (2019)
Repositorio Institucional UDCA
Universidad de Ciencias Aplicadas y Ambientales U.D.C.A
instacron:Universidad de Ciencias Aplicadas y Ambientales U.D.C.A
Dyna, Vol 86, Iss 211, Pp 94-101 (2019)
Repositorio Institucional UDCA
Universidad de Ciencias Aplicadas y Ambientales U.D.C.A
instacron:Universidad de Ciencias Aplicadas y Ambientales U.D.C.A
The aim of this study is to introduce a new clustering method for ipsative variables. This method can be used for nominal or ordinal variables for which responses must be mutually exclusive, and it is independent of data distribution. The proposed me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9544b29ce8e08affcd9ecaca06557a0d
http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0012-73532019000400094&lng=en&tlng=en
http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0012-73532019000400094&lng=en&tlng=en
Autor:
Sheila M. Bird, Geoffrey Playford, J. Montanero, Margaret Eames, Elja Arjas, Jon Nicholl, Deborah Ashby, Ravi Maheswaran, Richard Jacques, Ian Smith, James Fotheringham, María Dolores Ugarte, Carlos Alonso Malaver, Jorge Mateu, Thomas S. King, Robert Grant, Kerrie Mengersen, J. E. Chacon, Dankmar Boehning, Woody Caan, William H. Woodall, Anthony C. Atkinson, Jan Terje Kvaløy, J. Campbell Gemmell, Ronald B. Geskus, Emilio Porcu, Tony Morton, Nicholas T. Longford, Thomas A. Louis, A Zini, Michael J. Campbell, Marco Riani, Ana F. Militino, Ian Hunt, Stephen E. Fienberg, Andrew Gelman, Hanna K. Jankowski, E. Marian Scott, Alfred Stein, Axel Gandy
Publikováno v:
Journal of the Royal Statistical Society Series A: Statistics in Society. 175:1-47
Summary Current demand for accountability and efficiency of healthcare organizations, combined with the greater availability of routine data on clinical care and outcomes, has led to an increased focus on statistical methods in healthcare regulation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed3b7bc32033a8b823c70c2132259e1f
https://doi.org/10.1111/j.1467-985x.2011.01010.x
https://doi.org/10.1111/j.1467-985x.2011.01010.x