Zobrazeno 1 - 10
of 3 221
pro vyhledávání: '"Nearest neighbor imputation"'
Autor:
Chen, Jiahua, Shao, Jun
Publikováno v:
Journal of the American Statistical Association, 2001 Mar 01. 96(453), 260-269.
Externí odkaz:
https://www.jstor.org/stable/2670364
Autor:
Yang, Shu, Kim, Jae Kwang
Nearest neighbor imputation is popular for handling item nonresponse in survey sampling. In this article, we study the asymptotic properties of the nearest neighbor imputation estimator for general population parameters, including population means, p
Externí odkaz:
http://arxiv.org/abs/1707.00974
Publikováno v:
Annals of Forest Science, Vol 79, Iss 1, Pp 1-20 (2022)
Abstract Key message We propose a coupled framework to combine the strengths of the Weibull function in modeling diameter distributions and the ability of the k-nearest neighbor (kNN) method to impute spatially continuous forest stand attributes for
Externí odkaz:
https://doaj.org/article/afcc0799eb5540c99c9827c30279f1b8
Publikováno v:
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 6, Iss 4, Pp 570-576 (2022)
A missing value is a common problem of most data processing in scientific research, which results in a lack of accuracy of research results. Several methods have been applied as a missing value solution, such as deleting all data that have a missing
Externí odkaz:
https://doaj.org/article/9a804542ce85414796d2583fdade99d0
Autor:
Faisal, Shahla, Tutz, Gerhard
Missing values are a common phenomenon in all areas of applied research. While various imputation methods are available for metrically scaled variables, methods for categorical data are scarce. An imputation method that has been shown to work well fo
Externí odkaz:
http://arxiv.org/abs/1710.01011
Akademický článek
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Autor:
Huang, Jianglin *, Keung, Jacky Wai, Sarro, Federica, Li, Yan-Fu, Yu, Y.T., Chan, W.K., Sun, Hongyi
Publikováno v:
In The Journal of Systems & Software October 2017 132:226-252
Autor:
Hasler, Caren, Tillé, Yves
In order to overcome the problem of item nonresponse, random imputation methods are often used because they tend to preserve the distribution of the imputed variable. Among the random imputation methods, the random hot-deck has the interesting proper
Externí odkaz:
http://arxiv.org/abs/1501.07622
Publikováno v:
Annals of Applied Statistics 2011, Vol. 5, No. 2A, 824-842
Variance estimation for estimators of state, county, and school district quantities derived from the Census 2000 long form are discussed. The variance estimator must account for (1) uncertainty due to imputation, and (2) raking to census population c
Externí odkaz:
http://arxiv.org/abs/1108.1074