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Methods for imputation of missing values and their influence on the results of segmentation research
作者: Marcin Gąsior , Łukasz Skowron
DOI:
10.15611/EKT.2016.4.04
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参考文章
(14)
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Kamila Migdał-Najman,
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Przegląd Statystyczny.
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2.
J.L. Schafer,
Analysis of Incomplete Multivariate Data
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Malika Charrad, Nadia Ghazzali, Véronique Boiteau, Azam Niknafs,
NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set
Journal of Statistical Software.
,vol. 61, pp. 1- 36 ,(2014) ,
10.18637/JSS.V061.I06
4.
Roderick J. A. Little,
Missing-Data Adjustments in Large Surveys
Journal of Business & Economic Statistics.
,vol. 6, pp. 287- 296 ,(1988) ,
10.1080/07350015.1988.10509663
5.
Peter J. Rousseeuw,
Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
Journal of Computational and Applied Mathematics.
,vol. 20, pp. 53- 65 ,(1987) ,
10.1016/0377-0427(87)90125-7
6.
Lawrence J. Hubert, Joel R. Levin,
A general statistical framework for assessing categorical clustering in free recall.
Psychological Bulletin.
,vol. 83, pp. 1072- 1080 ,(1976) ,
10.1037/0033-2909.83.6.1072
7.
S. S. Stevens,
On the Theory of Scales of Measurement
Science.
,vol. 103, pp. 677- 680 ,(1946) ,
10.1126/SCIENCE.103.2684.677
8.
S. Labovitz,
Some Observations on Measurement and Statistics
Social Forces.
,vol. 46, pp. 151- 160 ,(1967) ,
10.2307/2574595
9.
T. Calinski, J. Harabasz,
A dendrite method for cluster analysis
Communications in Statistics-theory and Methods.
,vol. 3, pp. 1- 27 ,(1974) ,
10.1080/03610927408827101
10.
DONALD B. RUBIN,
Inference and missing data
Biometrika.
,vol. 63, pp. 581- 592 ,(1976) ,
10.1093/BIOMET/63.3.581
来源期刊
Ekonometria / Uniwersytet Ekonomiczny we Wrocławiu
Wydawnictwo Uniwersytetu Ekonomicznego we Wroclawiu (Publishing House of Wroclaw University of Economics)
2016 年,
Volume: , Issue: 4,
Page: 61-71
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