Zobrazeno 1 - 10
of 186
pro vyhledávání: '"OBRADOVIĆ, MARKO"'
This paper presents a comprehensive study of nonparametric estimation techniques on the circle using Fej\'er polynomials, which are analogues of Bernstein polynomials for periodic functions. Building upon Fej\'er's uniform approximation theorem, the
Externí odkaz:
http://arxiv.org/abs/2411.19138
Autor:
Marjanović, Milan S., Karamarković, Rade M., Todorović, Dušan M., Obradović, Marko O., Jovović, Aleksandar M., Radić, Dejan B.
Publikováno v:
In Case Studies in Thermal Engineering October 2024 62
We study the Bahadur efficiency of several weighted L2--type goodness--of--fit tests based on the empirical characteristic function. The methods considered are for normality and exponentiality testing, and for testing goodness--of--fit to the logisti
Externí odkaz:
http://arxiv.org/abs/2201.08604
In this article we prove a generalization of the Ejsmont characterization of the multivariate normal distribution. Based on it, we propose a new test for independence and normality. The test uses an integral of the squared modulus of the difference b
Externí odkaz:
http://arxiv.org/abs/2107.04845
In this paper some well-known tests based on empirical distribution functions (EDF) with estimated parameters for testing composite normality hypothesis are revisited, and some new results on asymptotic properties are provided. In particular, the app
Externí odkaz:
http://arxiv.org/abs/2106.07437
Publikováno v:
Mathematical Communications, 27(1):77-100, 2022
The asymptotic distribution of a wide class of V- and U-statistics with estimated parameters is derived in the case when the kernel is not necessarily differentiable along the parameter. The results have their application in goodness-of-fit problems.
Externí odkaz:
http://arxiv.org/abs/2012.11020
Autor:
Loebinger, Michael R., Quint, Jennifer K., van der Laan, Roald, Obradovic, Marko, Chawla, Rajinder, Kishore, Amit, van Ingen, Jakko
Publikováno v:
In Chest November 2023 164(5):1115-1124
Publikováno v:
Revista de la Real Academia de Ciencias Exactas, F\'isicas y Naturales. Serie A. Matem\'aticas 116.1 (2022): 1-26
We present new consistent goodness-of-fit tests for exponential distribution, based on the Desu characterization. The test statistics represent the weighted $L^2$ and $L^{\infty}$ distances between appropriate V-empirical Laplace transforms of random
Externí odkaz:
http://arxiv.org/abs/1904.00840
Publikováno v:
SORT, 43(1):25-49, 2019
We introduce new consistent and scale-free goodness-of-fit tests for the exponential distribution based on Puri-Rubin characterization. For the construction of test statistics we employ weighted $L^2$ distance between $V$-empirical Laplace transforms
Externí odkaz:
http://arxiv.org/abs/1809.07585
Autor:
Milošević, Bojana, Obradović, Marko
In this paper, some recent and classical tests of symmetry are modified for the case of an unknown center. The unknown center is estimated with its $\alpha$-trimmed mean estimator. The asymptotic behavior of the new tests is explored. The local appro
Externí odkaz:
http://arxiv.org/abs/1710.10261