+ Patent based on similarity analyses +

+ IBF (Idea-breeding-farm) +

We are proud of this study! close

+ MY-X DVD +

2021.XII.
PhD-title succesfully realized with the support of the My-X team!

2021.XI.
KJE-ETDK-1. place (incl. OTDK-access-right) with a study supported by the MY-X team!

2020.XI.
BME-ETDK-1. place (incl. OTDK-access-right) with a study supported by the MY-X team!

2020.XI.
2 BPROF-Students (1. semester): 1. and 2. places (ETDK) + OTDK-access rights!

2020.III-VI.
QuILT: distance education with avatars in English!

2020.VI.
More and more qualitative studies in English from Students of the international courses!

2019.IX.
The Liebig-rule is available in the traffic!

2018.IX.
Kecskemét-Conference about Innovation: presentation of the 2DM-game!

2018.VI.
MMO 2018 conference: the best presentation of the session (award for 2DM) + the best publication of the session (award for Rosling-animations)!



The Journal MIAU has been working for 25+ years as a kind of public service!
MATARKA-nézet

Statement for the Reader:
the thoughts presented on the virtual sites of the e-Journal of MIAU
should be interpreted like e.g. Ramanudjan's notices:
the value of the thoughts comes from the inner world of the publication -
the publication channel is not part of the value-building-processes...

Instead of social media: MYX-team-NEWS

(Last modified: 2015.VII.19.14:08 - MIAÚ-RSS)

Derivation of the most critical attribute in a complex risk management system

Leading article: 2018. June (MIAU No. 238.)
(Previous article: MIAU No. 237.)

Keywords: bubble, production function, static-dynamic approach, similarity analysis

Abstract: The attributes needing a specific handling can be derived in different static and dynamic ways. In both cases, production functions should be generated. In a static approach, the production functions should have stairs (c.f. staircase functions) in order to be capable of interpretations of general and/or constellation-specific impacts of attributes compared to each other. In a dynamic case, production functions need time series as inputs and in this case each X-attribute should be modelled as Y. A model for the original Y-attribute may lead to estimation errors, which can be interpreted as a kind of bubble-effect. In case of parallel Y-attributes, the amount of these bubble effects can be seen as information about ranking of the analyzed Y-attributes according to the detected volume of exposures. If each X-attributes will be modelled as Y, the most specific attribute is the attribute, where the differences between the estimated and the real values lead to the highest error value, because the X-attributes being interpretable build a kind of consistent frame. More (DOC) *** More (PDF)


Please, send Your comments per email!

((Back))
miau.my-x.hu
myxfree.tool
rss.services