Cargando…

Additive integer-valued data envelopment analysis with missing data: A multi-criteria evaluation approach

Traditional data envelopment analysis (DEA) models assume that all the inputs and outputs data are available. However, missing data is a common problem in data analysis. Although several scholars have developed techniques to conduct DEA with missing data, these techniques have some disadvantages. A...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chen, Chunhua, Ren, Jianwei, Tang, Lijun, Liu, Haohua
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289371/ https://www.ncbi.nlm.nih.gov/pubmed/32525894 http://dx.doi.org/10.1371/journal.pone.0234247

Ejemplares similares

A hyper-matheuristic approach for solving mixed integer linear optimization models in the context of data envelopment analysis
por: Gonzalez, Martin, et al.
Publicado: (2022)

Integer-valued polynomials
por: Cahen, Paul-Jean, et al.
Publicado: (2014)

Multi-task feature selection in microarray data by binary integer programming
por: Lan, Liang, et al.
Publicado: (2013)

Selective proportionality and integer-valued data in DEA: an application to performance evaluation of high schools
por: Moghaddas, Zohreh, et al.
Publicado: (2022)

A mixed-integer slacks-based measure data envelopment analysis for efficiency measuring of German university hospitals
por: Zarrin, Mansour
Publicado: (2022)

Optimal training of integer-valued neural networks with mixed integer programming
por: Thorbjarnarson, Tómas, et al.
Publicado: (2023)

A New Extension of Thinning-Based Integer-Valued Autoregressive Models for Count Data
por: Liu, Zhengwei, et al.
Publicado: (2020)

Approaches to integer programming
por: Balinski, M
Publicado: (1974)

Solving Program Sketches with Large Integer Values
por: Pan, Rong, et al.
Publicado: (2020)

Characterization of missing values in untargeted MS-based metabolomics data and evaluation of missing data handling strategies
por: Do, Kieu Trinh, et al.
Publicado: (2018)

A Bounded Integer Model for Rating and Composite Scale Data
por: Wellhagen, Gustaf J., et al.
Publicado: (2019)

Lattice-reduction-aided and integer-forcing equalization: structures, criteria, factorization, and coding
por: Fischer, Robert F H, et al.
Publicado: (2019)

Missing Value Imputation Approach for Mass Spectrometry-based Metabolomics Data
por: Wei, Runmin, et al.
Publicado: (2018)

Modeling Medical Data by Flexible Integer-Valued AR(1) Process with Zero-and-One-Inflated Geometric Innovations
por: Mohammadi, Zohreh, et al.
Publicado: (2022)

Model Order Reduction: A Comparison between Integer and Non-Integer Order Systems Approaches
por: Caponetto, Riccardo, et al.
Publicado: (2019)

MODEM: multi-omics data envelopment and mining in maize
por: Liu, Haijun, et al.
Publicado: (2016)

Preconditioning 2D Integer Data for Fast Convex Hull Computations
por: Cadenas, José Oswaldo, et al.
Publicado: (2016)

An integer programming framework for inferring disease complexes from network data
por: Mazza, Arnon, et al.
Publicado: (2016)

An integer programming framework for inferring disease complexes from network data
por: Mazza, Arnon, et al.
Publicado: (2016)

Patient and Payer Preferences for Additional Value Criteria
por: Jakab, Ivett, et al.
Publicado: (2021)

Integrative missing value estimation for microarray data
por: Hu, Jianjun, et al.
Publicado: (2006)

NMF-Based Approach for Missing Values Imputation of Mass Spectrometry Metabolomics Data
por: Xu, Jingjing, et al.
Publicado: (2021)

Kernel weighted least square approach for imputing missing values of metabolomics data
por: Kumar, Nishith, et al.
Publicado: (2021)

Selecting additional tag SNPs for tolerating missing data in genotyping
por: Huang, Yao-Ting, et al.
Publicado: (2005)

Integer programming
por: Conforti, Michele, et al.
Publicado: (2014)

Integer programming
por: Walukiewicz, Stanisław
Publicado: (1991)

Integer programming
por: Salkin, Harvey M
Publicado: (1975)

Integer programming
por: Greenberg, Harold
Publicado: (1971)

Conference on Commutative rings, integer-valued polynomials and polynomial functions
por: Fontana, Marco, et al.
Publicado: (2014)

Data envelopment analysis
por: Vazquez Novoa, Nadia
Publicado: (2017)

Deep Learning Approach for Imputation of Missing Values in Actigraphy Data: Algorithm Development Study
por: Jang, Jong-Hwan, et al.
Publicado: (2020)

Stochastic integer programming for multi-disciplinary outpatient clinic planning
por: Leeftink, A. G., et al.
Publicado: (2017)

Evaluation of different approaches for missing data imputation on features associated to genomic data
por: Petrazzini, Ben Omega, et al.
Publicado: (2021)

Robust imputation method for missing values in microarray data
por: Yoon, Dankyu, et al.
Publicado: (2007)

Reporting the Reliability of Accelerometer Data with and without Missing Values
por: Wickel, Eric E.
Publicado: (2014)

Anomalous values and missing data in clinical and experimental studies
por: Miot, Hélio Amante
Publicado: (2019)

Statistical data preparation: management of missing values and outliers
por: Kwak, Sang Kyu, et al.
Publicado: (2017)

Missing data as data
por: Basiri, Anahid, et al.
Publicado: (2022)

Beyond non-integer Hill coefficients: A novel approach to analyzing binding data, applied to Na(+)-driven transporters
por: Ravera, Silvia, et al.
Publicado: (2015)

An efficient ensemble method for missing value imputation in microarray gene expression data
por: Zhu, Xinshan, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_v3qftf3o3vuj5jp92m8qgm60ui