scholarly journals Correction to: Semiparametric Inference for Non-monotone Missing-Not-at-Random Data: the No Self-Censoring Model

2021 ◽  
pp. 1-2
Keyword(s):  
Random Data ◽  
Missing Not At Random ◽  
Semiparametric Inference

Social Recommendation with Missing Not at Random Data

2018 ◽  
Author(s):  
Jiawei Chen ◽  
Can Wang ◽  
Martin Ester ◽  
Qihao Shi ◽  
Yan Feng ◽  
...  
Keyword(s):  
Social Recommendation ◽  
Random Data ◽  
Missing Not At Random

scholarly journals Imputation and low-rank estimation with Missing Not At Random data

2020 ◽  
Vol 30 (6) ◽  
pp. 1629-1643
Author(s):  
Aude Sportisse ◽  
Claire Boyer ◽  
Julie Josse
Keyword(s):  
Low Rank ◽  
Random Data ◽  
Missing Not At Random ◽  
Rank Estimation

Stock Watcher Application using Google Web Toolkit

2020 ◽  
Author(s):  
Akhilesh Kumar Kondoju ◽  
Revanth Reddy Kontham ◽  
Jinan A. Fiaidhi
Keyword(s):  
Programming Language ◽  
Web Site ◽  
New Technology ◽  
Prototype Model ◽  
Random Data ◽  
The Creation

<div>A simple stock watcher based on Google Web Toolkit (GWT) as the new technology in the creation of rich AJAX applications using only Java as the programming language, which is later on compiled into pure JavaScript and deployed as a regular web site. The user is able to know and manage stock watcher to be</div><div>updated with the latest changes in stock. We used random data as input as it is a prototype model.</div>

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