A comparison of missing Value Estimation Methods for Response Surface Design

2022 ◽  
Vol 32 (4) ◽  
Author(s):  
Natchaya Ratasukharom ◽  
Boonorm Chomtee ◽  
Chantha Wongoutong ◽  
Sudarat Nidsunkid
Keyword(s):  
Response Surface ◽  
Estimation Methods ◽  
Response Surface Design ◽  
Missing Value ◽  
Surface Design ◽  
Value Estimation ◽  
Missing Value Estimation

scholarly journals Missing Value Estimation Methods for Data in Linear Functional Relationship Model

2017 ◽  
Vol 46 (02) ◽  
pp. 317-326 ◽  
Author(s):  
ADILAH ABDUL GHAPOR ◽  
YONG ZULINA ZUBAIRI ◽  
RAHMATULLAH IMON A.H.M.
Keyword(s):  
Linear Functional ◽  
Functional Relationship ◽  
Estimation Methods ◽  
Missing Value ◽  
Relationship Model ◽  
Value Estimation ◽  
Missing Value Estimation

scholarly journals Missing value estimation methods for DNA microarrays

2001 ◽  
Vol 17 (6) ◽  
pp. 520-525 ◽  
Author(s):  
O. Troyanskaya ◽  
M. Cantor ◽  
G. Sherlock ◽  
P. Brown ◽  
T. Hastie ◽  
...  
Keyword(s):  
Dna Microarrays ◽  
Estimation Methods ◽  
Missing Value ◽  
Value Estimation ◽  
Missing Value Estimation

scholarly journals Missing Value Estimation for Microarray Data by Bayesian Principal Component Analysis and Iterative Local Least Squares

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Fuxi Shi ◽  
Dan Zhang ◽  
Jun Chen ◽  
Hamid Reza Karimi
Keyword(s):  
Principal Component Analysis ◽  
Least Squares ◽  
Microarray Data ◽  
Missing Values ◽  
Principal Component ◽  
Component Analysis ◽  
Estimation Methods ◽  
Missing Value ◽  
Value Estimation ◽  
Missing Value Estimation

Missing values are prevalent in microarray data, they course negative influence on downstream microarray analyses, and thus they should be estimated from known values. We propose a BPCA-iLLS method, which is an integration of two commonly used missing value estimation methods—Bayesian principal component analysis (BPCA) and local least squares (LLS). The inferior row-average procedure in LLS is replaced with BPCA, and the least squares method is put into an iterative framework. Comparative result shows that the proposed method has obtained the highest estimation accuracy across all missing rates on different types of testing datasets.

Defluoridation of drinking water by magnesium and aluminum electrocoagulation in continuous flow-rate: A response surface design.

2021 ◽  
pp. 1-37
Author(s):  
Ana Gabriela Sierra-Sánchez ◽  
Verónica Martínez-Miranda ◽  
Elia Alejandra Teutli-Sequeira ◽  
Ivonne Linares-Hernández ◽  
Guadalupe Vázquez-Mejía ◽  
...  
Keyword(s):  
Drinking Water ◽  
Response Surface ◽  
Flow Rate ◽  
Continuous Flow ◽  
Response Surface Design ◽  
Surface Design

scholarly journals Missing Value Estimation in a Nested-Factorial Design with Three Factors

2018 ◽  
Vol 3 (1) ◽  
pp. 10-17
Author(s):  
Emmanuel W. Okereke ◽  
Emmanuel J. Ekpenyong ◽  
Chukwuma Nwaogu
Keyword(s):  
Factorial Design ◽  
Missing Value ◽  
Value Estimation ◽  
Missing Value Estimation
Sign in / Sign up

Export Citation Format

Share Document