response transformation
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2020 ◽  
pp. 1471082X2096691
Author(s):  
Amani Almohaimeed ◽  
Jochen Einbeck

Random effect models have been popularly used as a mainstream statistical technique over several decades; and the same can be said for response transformation models such as the Box–Cox transformation. The latter aims at ensuring that the assumptions of normality and of homoscedasticity of the response distribution are fulfilled, which are essential conditions for inference based on a linear model or a linear mixed model. However, methodology for response transformation and simultaneous inclusion of random effects has been developed and implemented only scarcely, and is so far restricted to Gaussian random effects. We develop such methodology, thereby not requiring parametric assumptions on the distribution of the random effects. This is achieved by extending the ‘Nonparametric Maximum Likelihood’ towards a ‘Nonparametric profile maximum likelihood’ technique, allowing to deal with overdispersion as well as two-level data scenarios.


Nanomaterials ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 1162
Author(s):  
Fang Peng ◽  
Yan Sun ◽  
Weiwei Yu ◽  
Yue Lu ◽  
Jiaming Hao ◽  
...  

In this work, the compositional optimization in copper oxide/tungsten trioxide (CuO/WO3) composites was systematically studied for hydrogen sulfide (H2S) sensing. The response of CuO/WO3 composites changes from p-type to n-type as the CuO content decreases. Furthermore, the p-type response weakens while the n-type response strengthens as the Cu/W molar ratio decreases from 1:0 to 1:10. The optimal Cu/W molar ratio is 1:10, at which the sensor presents the ultrahigh n-type response of 1.19 × 105 to 20 ppm H2S gas at 40 °C. Once the temperature rises from 40 °C to 250 °C, the CuO/WO3 (1:1) sensor presents the p-n response transformation, and the CuO/WO3 (1:1.5) sensor changes from no response to n-type response, because the increased temperature facilitates the Cu-S bonds break and weakens the p-type CuO contribution to the total response, such that the CuS bond decomposition by a thermal effect was verified by a Raman analysis. In addition, with a decrease in CuO content, the CuO is transformed from partly to completely converting to CuS, causing the resistance of CuO to decrease from increasing and, hence, a weakening mode of p-CuO and n-WO3 to the total response turns to a synergistic mode to it.


2020 ◽  
Vol 283 (2) ◽  
pp. 647-661 ◽  
Author(s):  
Robin M. Gubela ◽  
Stefan Lessmann ◽  
Szymon Jaroszewicz

2019 ◽  
Author(s):  
Robin M. Gubela ◽  
Stefan Lessmann ◽  
Szymon Jaroszewicz

2017 ◽  
pp. 174-200
Author(s):  
T.J. Hastie ◽  
R.J. Tibshirani

2017 ◽  
Vol 17 (11) ◽  
pp. 3416-3421 ◽  
Author(s):  
Ashutosh Mishra ◽  
N. S. Rajput ◽  
Guangjie Han

2017 ◽  
Vol 5 (3) ◽  
pp. 2006-2017
Author(s):  
OhimorEvuensiri Onoghwarite ◽  
◽  
NdirikaVictorIfeanyichukwu Obiora ◽  
EkeAkachukwu Ben ◽  
◽  
...  

2016 ◽  
Author(s):  
Yoonseob Lim ◽  
Ryan Lagoy ◽  
Barbara G Shinn-Cunningham ◽  
Timothy J Gardner

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