Results 181 to 190 of about 534,689 (331)

Using missing ordinal patterns to detect nonlinearity in time series data [PDF]

, 2017
Christopher W. Kulp, Luciano Zunino, T.H. Osborne, Brianna Zawadzki   +3 more
openalex   +1 more source

The influence of rivers on seabird foraging ecology

Biological Reviews, EarlyView.
ABSTRACT Rivers act as vital arteries to the world's oceans, delivering fresh water and nutrients that sustain marine ecosystems. Globally, river flow increasingly is being altered by climate change and anthropogenic pressures; yet the significance of rivers to predatory marine species, such as seabirds, and the extent to which river‐related changes ...
Julia B. Morais, Andre Chiaradia, Richard D. Reina   +2 more
wiley   +1 more source

Estimating intracluster correlation for ordinal data. [PDF]

J Appl Stat
Langworthy BW, Hou Z, Curhan GC, Curhan SG, Wang M.   +4 more
europepmc   +1 more source

Fitting Large Factor Analysis Models With Ordinal Data. [PDF]

Educ Psychol Meas, 2019
DiStefano C, McDaniel HL, Zhang L, Shi D, Jiang Z.   +4 more
europepmc   +1 more source

Generating ordinal data

, 2010
In the recent years, a great interest has been devoted by researchers to categorical data and the related statistical methods employed for their joint analysis. Specifically in explorative analysis, the robustness and performance of these techniques can be assessed almost exclusively through simulation studies, which require to generate a huge number ...
P.A. Ferrari, A. Barbiero
openaire   +1 more source

Building phenotypic character matrices for phylogenetic inference: exploration of 35 years of practice

Biological Reviews, EarlyView.
ABSTRACT Recent methodological development in phylogenetic inference has focused predominantly on molecular data. However, renewed interest in other data types, particularly morphological data, has followed from the increased recognition of the power of total evidence and tip‐dating approaches, including fossil data, for inference of time‐scaled trees ...
Melanie J. Hopkins, Mark C. Nikolic, James D. Holmes, Daniela S. Monti, Ernesto E. Vargas‐Parra, Russell D.C. Bicknell, Gregory D. Edgecombe, Katherine Jordan‐Burmeister, John R. Paterson, Shravya Srivastava‐Losey   +9 more
wiley   +1 more source

Evaluating Imputation-Based Fit Statistics in Structural Equation Modeling With Ordinal Data: The MI2S Approach. [PDF]

Educ Psychol Meas
Sriutaisuk S, Liu Y, Chung S, Kim H, Gu F.   +4 more
europepmc   +1 more source

Sequential Requisites Analysis: A New Method for Analyzing Sequential Relationships in Ordinal Data. [PDF]

Soc Sci Q, 2019
Lindenfors P, Krusell J, Lindberg SI.
europepmc   +1 more source

Consensus with ordinal data

, 1999
We present a model allowing to aggregate decision criteria when the available information is of qualitative nature. The use of the Sugeno integral in this model is justified by an axiomatic approach. An illustrative example is also provided.
Marichal, Jean-Luc, Roubens, Marc
openaire   +1 more source

Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives

Business Strategy and the Environment, EarlyView.
ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh, Rsha Alghafes, Judit Petra Koltai, Sushant Kumar Vishnoi   +3 more
wiley   +1 more source