Results 51 to 60 of about 4,692,865 (188)

Generating metainferences in mixed methods research: A worked example in convergent mixed methods designs

open access: yesMethodological Innovations, 2023
Metainferences, or the insights derived from integrating quantitative and qualitative inferences at the end of a study, are crucial for achieving added value and synergy in mixed methods research.
Ahtisham Younas   +2 more
doaj   +1 more source

Spatial modelling for mixed-state observations

open access: yes, 2008
In several application fields like daily pluviometry data modelling, or motion analysis from image sequences, observations contain two components of different nature.
Hardouin, Cécile, Yao, Jian-Feng
core   +3 more sources

Sparse semiparametric canonical correlation analysis for data of mixed types [PDF]

open access: yesBiometrika, 2020
SummaryCanonical correlation analysis investigates linear relationships between two sets of variables, but it often works poorly on modern datasets because of high dimensionality and mixed data types such as continuous, binary and zero-inflated. To overcome these challenges, we propose a semiparametric approach to sparse canonical correlation analysis ...
Yoon, Grace   +2 more
openaire   +3 more sources

Lithofacies Architecture and Distribution Patterns of Lacustrine Mixed Fine-Grained Rocks —a Case Study of Permian Lucaogou Formation in Jimsar Sag, NW China

open access: yesFrontiers in Earth Science, 2021
As the controlling effect of complex lithofacies of lacustrine mixed fine-grained rocks on the shale oil sweet spot remains unclear, core, outcrop, general logging, nuclear magnetic resonance (NMR) logging, testing, and production data were used to study
Senlin Yin   +4 more
doaj   +1 more source

Self-consistent Bogoliubov de Gennes theory of the vortex lattice state in a two-dimensional strong type-II superconductor at high magnetic fields

open access: yes, 2016
A self-consistent Bogoliubov deGennes theory of the vortex lattice state in a 2D strong type-II superconductor at high magnetic fields reveals a novel quantum mixed state around the semiclassical Hc2, characterized by a well-defined Landau--Bloch band ...
Duan, Wenye   +2 more
core   +2 more sources

Mixed-Membership Stochastic Block-Models for Transactional Networks

open access: yes, 2010
Transactional network data can be thought of as a list of one-to-many communications(e.g., email) between nodes in a social network. Most social network models convert this type of data into binary relations between pairs of nodes.
Chipman, Hugh, Shafiei, Mahdi
core   +1 more source

A modification of the mixed form of Richards equation and its application in vertically inhomogeneous soils [PDF]

open access: yes, 2011
Recently, new soil data maps were developed, which include vertical soil properties like soil type. Implementing those into a multilayer Soil-Vegetation-Atmosphere-Transfer (SVAT) scheme, discontinuities in the water content occur at the interface ...
Ahrens, Bodo, Kalinka, Frank
core   +2 more sources

Characteristics of mixed type basal cell carcinoma in comparison to other BCC subtypes

open access: yesIndian Journal of Dermatology, 2014
Background: There are limited data exploring the characteristics of mixed type basal cell carcinoma (BCC). Objectives: To explore different characteristics of mixed type BCC. Design: Cross sectional study.
A Ghanadan   +4 more
doaj   +1 more source

Distance Metrics and Clustering Methods for Mixed‐type Data

open access: yesInternational Statistical Review, 2018
SummaryIn spite of the abundance of clustering techniques and algorithms, clustering mixed interval (continuous) and categorical (nominal and/or ordinal) scale data remain a challenging problem. In order to identify the most effective approaches for clustering mixed‐type data, we use both theoretical and empirical analyses to present a critical review ...
Alexander H. Foss   +2 more
openaire   +3 more sources

A Comparison Framework of Machine Learning Algorithms for Mixed-Type Variables Datasets: A Case Study on Tire-Performances Prediction

open access: yesIEEE Access, 2020
Many engineering applications in the automotive, aeronautic, rubber, mechanics, and manufacturing industries collect multiple datasets measuring physical relations between input variables and performances for modeling purposes.
Leonardo Gutierrez-Gomez   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy