Multi-wavelength pyrometry based on robust statistics and cross-validation of emissivity model

2020 ◽  
Vol 91 (11) ◽  
pp. 114902
Author(s):  
Pierre-Yves C. R. Taunay ◽  
Edgar Y. Choueiri
Keyword(s):  
Cross Validation ◽  
Robust Statistics ◽  
Multi Wavelength ◽  
Emissivity Model

scholarly journals Constraints of emissivity model for multi-wavelength pyrometer

2020 ◽  
Vol 19 ◽  
pp. 103388
Author(s):  
Bojun Sun ◽  
Xiaogang Sun ◽  
Jingmin Dai
Keyword(s):  
Multi Wavelength ◽  
Emissivity Model

A data processing algorithm for multi-wavelength pyrometry-which does not need to assume the emissivity model in advance

Measurement ◽  
2015 ◽  
Vol 67 ◽  
pp. 92-98 ◽  
Author(s):  
Jian Xing ◽  
Shuanglong Cui ◽  
Wangui Qi ◽  
Fucai Zhang ◽  
Xiaogang Sun ◽  
...  
Keyword(s):  
Data Processing ◽  
Processing Algorithm ◽  
Data Processing Algorithm ◽  
Multi Wavelength ◽  
Emissivity Model

Item Bias Analysis of the Young Schema-Questionnaire for Psychopathology, Gender, and Educational Level

2011 ◽  
Vol 27 (1) ◽  
pp. 65-70 ◽  
Author(s):  
Marleen M. Rijkeboer ◽  
Huub van den Bergh ◽  
Jan van den Bout
Keyword(s):  
Educational Level ◽  
Cross Validation ◽  
Item Bias ◽  
Response Patterns ◽  
Dutch Population ◽  
Bias Analysis ◽  
Young Schema Questionnaire ◽  
Item Functioning ◽  
Item Level ◽  
Schema Questionnaire

This study examines the construct validity of the Young Schema-Questionnaire at the item level in a Dutch population. Possible bias of items in relation to the presence or absence of psychopathology, gender, and educational level was analyzed, using a cross-validation design. None of the items of the YSQ exhibited differential item functioning (DIF) for gender, and only one item showed DIF for educational level. Furthermore, item bias analysis did not identify DIF for the presence or absence of psychopathology in as much as 195 of the 205 items comprising the YSQ. Ten items, however, spread over the questionnaire, were found to yield relatively inconsistent response patterns for patients and nonclinical participants.

CROSS-VALIDATION IS NEEDED

1972 ◽  
Vol 17 (2) ◽  
pp. 85-86
Author(s):  
RICHARD F. Q. JOHNSON
Keyword(s):  
Cross Validation
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