Results 101 to 110 of about 204,036 (213)
Missing Data and Imputation Methods
Schober, Patrick, Vetter, Thomas R.
openaire +3 more sources
Flexible Imputation of Missing Data
Hakan Demirtas
doaj +1 more source
Imputation Methods for Incomplete Dependent Variables in Finance [PDF]
Missing observations in dependent variables is a common feature of many financial applications. Standard ad hoc missing value imputation methods invariably fail to deliver efficient and unbiased parameter estimates.
Paul Kofman, Ian Sharpe
core
Missing data imputation: focusing on single imputation.
Complete case analysis is widely used for handling missing data, and it is the default method in many statistical packages. However, this method may introduce bias and some useful information will be omitted from analysis. Therefore, many imputation methods are developed to make gap end. The present article focuses on single imputation.
openaire +1 more source
Univariate Multiple Imputation for Coarse Employee Income Data
This paper is concerned with conducting univariate multiple imputation for employee income data that is comprised of continuously distributed observations, observations that are bounded by consecutive income brackets, and observations that are missing. A
Daniels, Reza C.
core
Imputation rules to improve the education variable in the IAB employment subsample [PDF]
"The education variable in the IAB employment subsample has two shortcomings: missing values and inconsistencies with the reporting rule. We propose several deductive imputation procedures to improve the variable.
Fitzenberger, Bernd +2 more
core
Missing imputation methods explored in big data analytics
Philosophiae Doctor - PhD (Statistics and Population Studies)The aim of this study is to look at the methods and processes involved in imputing missing data and more specifically, complete missing blocks of data. A further aim of this study is to look at
Brydon, Humphrey Charles
core +1 more source
Missing data and multiple imputation in clinical epidemiological research
Alma B Pedersen,1 Ellen M Mikkelsen,1 Deirdre Cronin-Fenton,1 Nickolaj R Kristensen,1 Tra My Pham,2 Lars Pedersen,1 Irene Petersen1,2 1Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus N, Denmark; 2Department of Primary Care and ...
Mikkelsen EM +6 more
core
Cross-Modal Graph Attention for Bridge SHM Data Imputation. [PDF]
Xiong J, Hu L, Meng X, An X, Xie Y.
europepmc +1 more source
ChatGPT-based Biological and Psychological Data Imputation. [PDF]
Nazir A, Cheeema MN, Wang Z.
europepmc +1 more source

