"23520" . "275077" . . . "Nonparametric Estimation of Reliability of Two Random Variables Using Kernel Estimation of Density" . . "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 than the t"@en . "[5795CB9CB0EF]" . . "\u0164oupal, Tom\u00E1\u0161" . "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 than the t" . . "Nonparametric Estimation of Reliability of Two Random Variables Using Kernel Estimation of Density" . . . "Nonparametric Estimation of Reliability of Two Random Variables Using Kernel Estimation of Density"@en . . "P(2A-2TP1/051), S" . . . "RIV/49777513:23520/10:00503734" . "1"^^ . "RIV/49777513:23520/10:00503734!RIV11-MSM-23520___" . . "Bivariate distribution; nonparametric estimation; reliability; kernel estimation; density and distribution function"@en . . "1"^^ . . . . . "Nonparametric Estimation of Reliability of Two Random Variables Using Kernel Estimation of Density"@en . . .