Results 281 to 290 of about 16,362,739 (323)
Some of the next articles are maybe not open access.
Personal Values Across Cultures
Annual Review of Psychology, 2022Lilach Sagiv, Shalom H Schwartz
exaly
CODATA recommended values of the fundamental physical constants: 2018
Reviews of Modern Physics, 2021Peter J Mohr +2 more
exaly
2008
Missing data are a common problem in prediction research. We concentrate on missing values of predictor values (X), in the context of a prediction model for a single outcome (Y). Traditional complete case analysis suffers from inefficiency, selection bias of subjects, and other limitations.
openaire +1 more source
Missing data are a common problem in prediction research. We concentrate on missing values of predictor values (X), in the context of a prediction model for a single outcome (Y). Traditional complete case analysis suffers from inefficiency, selection bias of subjects, and other limitations.
openaire +1 more source
2016
A common task in data analysis is dealing with missing values. In R, missing values are often represented by NA or some other value that represents missing values (i.e. 99). We can easily work with missing values and in this chapter I illustrate how to test for, recode, and exclude missing values in your data.
openaire +1 more source
A common task in data analysis is dealing with missing values. In R, missing values are often represented by NA or some other value that represents missing values (i.e. 99). We can easily work with missing values and in this chapter I illustrate how to test for, recode, and exclude missing values in your data.
openaire +1 more source
Optical Sensing and Imaging of pH Values: Spectroscopies, Materials, and Applications
Chemical Reviews, 2020Otto S Wolfbeis, Sergey Borisov
exaly

