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, 2022
Lilach Sagiv, Shalom H Schwartz
exaly  

Missing Values

2018
Kimmo Vehkalahti, Brian S. Everitt
openaire   +1 more source

Diverse values of nature for sustainability

Nature, 2023
Unai Pascual   +2 more
exaly  

CODATA recommended values of the fundamental physical constants: 2018

Reviews of Modern Physics, 2021
Peter J Mohr   +2 more
exaly  

Dealing with missing values

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

Dealing with Missing Values

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

Missing Values

2013
Riyad Khanfer   +73 more
openaire   +1 more source

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