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  • Search: subject:"missing value"
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Year of publication
Subject
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missing value imputation 10 missing value 6 Forecasting model 4 Missing value 4 Prognoseverfahren 4 Theorie 4 Theory 4 Data mining 3 Machine learning 3 Statistical method 3 Statistische Methode 3 Time series analysis 3 Zeitreihenanalyse 3 high-dimensional panel data 3 imputation 3 Artificial intelligence 2 Data quality 2 Datenqualität 2 Estimation 2 Estimation theory 2 Financial analysis 2 Finanzanalyse 2 Insolvency 2 Insolvenz 2 Künstliche Intelligenz 2 Missing Value 2 Missing value estimation 2 Missing value imputation 2 Panel 2 Panel study 2 Schätztheorie 2 Schätzung 2 Statistical theory 2 Statistische Methodenlehre 2 dynamic hierarchical factor models 2 empirical Bayes 2 forecasting 2 imputation uncertainty 2 meta-analysis 2 sensitivity analysis 2
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Online availability
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Undetermined 19 Free 11 CC license 1
Type of publication
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Article 24 Book / Working Paper 7
Type of publication (narrower categories)
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Article in journal 8 Aufsatz in Zeitschrift 8 Graue Literatur 4 Non-commercial literature 4 Working Paper 4 Arbeitspapier 3 Article 1 Aufsatzsammlung 1 Hochschulschrift 1 Thesis 1 research-article 1 review 1
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Language
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English 19 Undetermined 12
Author
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Khanna, Yonas 3 Lucas, André 3 Longford, Nicholas T. 2 ATIYA, AMIR F. 1 Abrahams, Alan 1 Adnan Hassan 1 Aghababaee, Zahra 1 Albers, Casper 1 Anselmi, Antonio 1 Bansal, Abhay 1 Barnard, Brian 1 Beckmann, Denise 1 Berge, Jos 1 Bhat, Aamir Rashid 1 Bohling, Tim 1 Chang, Wonsang 1 Chiodini, Paola Maddalena 1 Cho, Sungzoon 1 Chou, Chia-Ching 1 EL-FOULY, RAAFAT 1 Fang, Xiao 1 GAYAR, NEAMAT EL 1 Gamakumara, Puwasala 1 Gheyas, Iffat A. 1 Gower, John 1 Grittner, Ulrike 1 Grover, P.S. 1 HASSAN, MOSTAFA M. 1 Herbst, Derrick 1 Hsieh, S. 1 Hsieh, Shu-Hui 1 Hu, Paul Jen-Hwa 1 Huang, Li-Hui 1 Huang, Lukui 1 Hyndman, Rob J. 1 Jain, Sarika 1 Jin‐Huei Yeh 1 Kakkar, Misha 1 Kang, Seokho 1 Kim, Eunji 1
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Institution
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Economic Statistics e-Center - ESeC 1
Published in...
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Data Technologies and Applications 2 Discussion paper / Tinbergen Institute 2 Advances in Data Analysis and Classification 1 Annals of the Institute of Statistical Mathematics 1 European Union Politics 1 European journal of industrial engineering : EJIE 1 Expert journal of business and management 1 Intelligent systems in accounting, finance & management 1 International Journal of Big Data and Analytics in Healthcare (IJBDAH) 1 International Journal of Open Source Software and Processes (IJOSSP) 1 International journal of enterprise network management : IJENM 1 International journal of production research 1 Journal of Forecasting 1 Journal of Multivariate Analysis 1 Journal of management information systems : JMIS 1 Marketing Science 1 Mathematics and Computers in Simulation (MATCOM) 1 Metrika 1 New Mathematics and Natural Computation (NMNC) 1 Psychometrika 1 Quantitative finance 1 Stata Journal 1 Statistics in Transition New Series 1 Statistics in transition : an international journal of the Polish Statistical Association and Statistics Poland 1 Tinbergen Institute Discussion Paper 1 Working Papers / Economic Statistics e-Center - ESeC 1 Working paper / Department of Econometrics and Business Statistics, Monash University 1
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Source
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ECONIS (ZBW) 12 RePEc 12 Other ZBW resources 4 EconStor 2 BASE 1
Showing 21 - 30 of 31
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ESeC-Rubin Missing Value Interpretation for a Regional Bottom-Up Hierarchical Forecasting
Anselmi, Antonio; Chiodini, Paola Maddalena; … - Economic Statistics e-Center - ESeC - 2008
in letteratura, per l’imputazione dei dati mancanti nelle serie storiche, si fa riferimento a statistiche applicate all’intera serie analizzata (e.g. media di tutti i termini della serie), ottenendo una costante d’imputazione generalmente adeguata per una specifica serie. Se le serie sono...
Persistent link: https://www.econbiz.de/10005585662
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Little's test of missing completely at random
Li, Cheng - In: Stata Journal 13 (2013) 4, pp. 795-809
In missing-data analysis, Little's test (1988, Journal of the American Statistical Association 83: 1198–1202) is useful for testing the assumption of missing completely at random for multivariate, partially observed quantitative data. I introduce the mcartest command, which implements Little's...
Persistent link: https://www.econbiz.de/10010726732
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Asymptotic properties of canonical correlation analysis for one group with additional observations
Yamada, Tomoya - In: Journal of Multivariate Analysis 114 (2013) C, pp. 389-401
We develop canonical correlation analysis in the context of two-step monotone incomplete data drawn from Np+q(μ,Σ), a multivariate normal population with mean μ and covariance matrix Σ. Our data consist of n observations on each group and an additional N−n observations on only one group,...
Persistent link: https://www.econbiz.de/10011042019
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Semiparametric estimation of logistic regression model with missing covariates and outcome
Lee, Shen-Ming; Li, Chin-Shang; Hsieh, Shu-Hui; Huang, … - In: Metrika 75 (2012) 5, pp. 621-653
Persistent link: https://www.econbiz.de/10010557912
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Conditional likelihood estimation and efficiency comparisons in proportional odds model with missing covariates
Hsieh, S.; Lee, S.; Shen, P.; Liu, M. - In: Annals of the Institute of Statistical Mathematics 63 (2011) 5, pp. 887-921
Persistent link: https://www.econbiz.de/10009325760
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A general approach to handling missing values in Procrustes analysis
Albers, Casper; Gower, John - In: Advances in Data Analysis and Classification 4 (2010) 4, pp. 223-237
Persistent link: https://www.econbiz.de/10008775842
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NOVEL ENSEMBLE TECHNIQUES FOR REGRESSION WITH MISSING DATA
HASSAN, MOSTAFA M.; ATIYA, AMIR F.; GAYAR, NEAMAT EL; … - In: New Mathematics and Natural Computation (NMNC) 05 (2009) 03, pp. 635-652
In this paper, we consider the problem of missing data, and develop an ensemble-network model for handling the missing data. The proposed method is based on utilizing the inherent uncertainty of the missing records in generating diverse training sets for the ensemble's networks. Specifically we...
Persistent link: https://www.econbiz.de/10008490600
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—The Power of CLV: Managing Customer Lifetime Value at IBM
Kumar, V.; Venkatesan, Rajkumar; Bohling, Tim; … - In: Marketing Science 27 (2008) 4, pp. 585-599
Customer management activities at firms involve making consistent decisions over time, about: (a) which customers to select for targeting, (b) determining the level of resources to be allocated to the selected customers, and (c) selecting customers to be nurtured to increase future...
Persistent link: https://www.econbiz.de/10008789766
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Political versus Instrumental Euro-scepticism
Lubbers, Marcel; Scheepers, Peer - In: European Union Politics 6 (2005) 2, pp. 223-242
In this contribution we demonstrate that European citizens distinguish between political and instrumental Euro-scepticism and indicate the extent to which these Euro-sceptic positions are endorsed. Data from 143,367 European citizens in 15 countries and 182 regions show that political...
Persistent link: https://www.econbiz.de/10010772708
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Test of random effects with incomplete panel data
Oya, Kosuke - In: Mathematics and Computers in Simulation (MATCOM) 64 (2004) 3, pp. 409-419
This paper examines properties of test statistics for random effects with incomplete panel data. We can divide incomplete panel data into two groups. One group arises from randomly missing or unbalanced data and the other arises from systematically missing data. We focus on the former case. Some...
Persistent link: https://www.econbiz.de/10010750096
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