Results 31 to 40 of about 3,675,912 (46)
Generalized canonical correlation analysis with missing values [PDF]
Two new methods for dealing with missing values in generalized canonicalcorrelation analysis are introduced. The first approach, which does notrequire iterations, is a generalization of the Test Equating method availablefor principal component analysis ...
Velden, M. van de, Takane, Y.
core
Low-rank matrix approximation with weights or missing data is NP-hard [PDF]
Weighted low-rank approximation (WLRA), a dimensionality reduction technique for data analysis, has been successfully used in several applications, such as in collaborative filtering to design recommender systems or in computer vision to recover ...
GILLIS, Nicolas, GLINEUR, François
core
Ohio Missing Children Clearinghouse ... annual report
, 2006 Description based on: 2005; title from PDF cover (viewed on July 17, 2007).; Harvested from the web on 11/21 ...
Ohio Missing Children Clearinghouse. +1 more
core
Compensating for Missing Data from Longitudinal Studies Using WinBUGS [PDF]
Missing data is a common problem in survey based research. There are many packages that compensate for missing data but few can easily compensate for missing longitudinal data.
Gita Mishra +3 more
core
Missing covariates in logistic regression, estimation and distribution selection. [PDF]
We derive explicit formulae for estimation in logistic regression models where some of the covariates are missing. Our approach allows for modeling the distribution of the missing covariates either as a multivariate normal or multivariate t-distribution.
Claeskens, Gerda, Consentino, Fabrizio
core
Imitation, theory of mind and cultural knowledge: Perspectives from Typical Development and Autism
, 2006 Loth, ~Missing Data, Gomez, Juan-Carlos
core +2 more sources
Annual report (Online); Other title: Missing Children Clearinghouse annual report
Harvested from the web on 7/11 ...
Ohio Missing Children Clearinghouse.
core
Some of the next articles are maybe not open access.
Market Power: The Missing Element in Keynesian Economics
Journal of Economic Issues, 1989Wallace C Peterson
exaly
A contribution on the nature and treatment of missing data in large market surveys
Applied Economics, 2017Maria Rosalia Vicente, Gary Madden
exaly