Nonparametric Estimation of Reliability of Two Random Variables Using Kernel Estimation of Density

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F10%3A00503734" target="_blank" >RIV/49777513:23520/10:00503734 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Nonparametric Estimation of Reliability of Two Random Variables Using Kernel Estimation of Density
Original language description
In this talk there is discussed the problem of the reliability estimation particularly for the bivariate distribution. In the real situations it may be used in many applications, especially in engineering concepts (as structures, static fatigue, the ageing of concrete pressure vessels), medicine, quality control, military service or in a balance of payments. The parametric estimation of a density and distribution function of reliability following a specified distribution has been discussed extensively in a literature. Hence, in this talk I will present the kernel estimation of density and distribution function using several types of kernels. In the final part I will use results of the previous estimation and I will demonstrate how to obtain the reliability of the obtained kernel estimation and apply it for the experimental data of the balance of payments of the Czech Republic. In this case, the reliability is represented by a fact that the total amount of the expenditures is not higher
Czech name
—
Czech description
—

Project
<a href="/en/project/2A-2TP1%2F051" target="_blank" >2A-2TP1/051: Improving Reliability and Safety of Electrical Networks.</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)