###EgeUn###Due to globalisation, competitive companies realise that providing a more reliable, predictable, and robust product/process is a prerequisite for satisfying their customers and running a successful operation. Many quality improvement techniques focus on reducing process variation in line with the doss to society' concept. The widespread use of loss functions in industrial applications has increased their popularity with different loss-handling features. Developments relating to the inverted probability density functions (PDFs) have allowed the application of particular loss functions in a wide range. This paper presents the inverted Wald loss function as a new member of the inverted probability loss family. The important features...
based on a quadratic loss-function. This paper introduces an alter-native asymmetric precautionary l...
External loss data are typically left truncated at a reporting threshold. Ignoring this truncation l...
Applications of soft-sensing techniques in modern complex process systems can significantly reduce t...
PolyU Library Call No.: [THS] LG51 .H577M AMA 2015 Yauxiii, 139 leaves :illustrations ;30 cmIn most ...
This paper presents a quantitative risk assessment method using loss function that enables the analy...
The upside-down normal loss function (UDNLF) is a weighted loss function that has accurately modeled...
xiv, 220 p. : ill. ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577M AMA 2013 TsoiThe purpose of thi...
The use of quadratic loss functions has been advocated in quality engineering and experimental desig...
The loss function by Professor G.Taguchi is defined by the quality as "losses to be given to society...
Abstract: In robust parameter design, the quadratic loss function is commonly used. However, this lo...
Response surface methodology (RSM) – the method most preferred by quality engineers – is a natural a...
###EgeUn###In quality engineering, engineering intuition is often ineffective and inconclusive for i...
URL des Documents de travail : http://ces.univ-paris1.fr/cesdp/CESFramDP2009.htmA paraître dans The ...
To quantify the aggregate losses from operational risk, we employ actuarial risk model, i.e. we cons...
Free to read The conventional dynamic risk assessment technique does not consider the effect of nonl...
based on a quadratic loss-function. This paper introduces an alter-native asymmetric precautionary l...
External loss data are typically left truncated at a reporting threshold. Ignoring this truncation l...
Applications of soft-sensing techniques in modern complex process systems can significantly reduce t...
PolyU Library Call No.: [THS] LG51 .H577M AMA 2015 Yauxiii, 139 leaves :illustrations ;30 cmIn most ...
This paper presents a quantitative risk assessment method using loss function that enables the analy...
The upside-down normal loss function (UDNLF) is a weighted loss function that has accurately modeled...
xiv, 220 p. : ill. ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577M AMA 2013 TsoiThe purpose of thi...
The use of quadratic loss functions has been advocated in quality engineering and experimental desig...
The loss function by Professor G.Taguchi is defined by the quality as "losses to be given to society...
Abstract: In robust parameter design, the quadratic loss function is commonly used. However, this lo...
Response surface methodology (RSM) – the method most preferred by quality engineers – is a natural a...
###EgeUn###In quality engineering, engineering intuition is often ineffective and inconclusive for i...
URL des Documents de travail : http://ces.univ-paris1.fr/cesdp/CESFramDP2009.htmA paraître dans The ...
To quantify the aggregate losses from operational risk, we employ actuarial risk model, i.e. we cons...
Free to read The conventional dynamic risk assessment technique does not consider the effect of nonl...
based on a quadratic loss-function. This paper introduces an alter-native asymmetric precautionary l...
External loss data are typically left truncated at a reporting threshold. Ignoring this truncation l...
Applications of soft-sensing techniques in modern complex process systems can significantly reduce t...