Results 31 to 40 of about 8,530 (262)
Estimating 𝐿-Functionals for Heavy-Tailed Distributions and Application
Journal of Probability and Statistics, 2010 𝐿-functionals summarize numerous statistical parameters and actuarial risk measures. Their sample estimators are linear combinations of order statistics (𝐿-statistics). There exists a class of heavy-tailed distributions for which the asymptotic normality
Abdelhakim Necir, Djamel Meraghni
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Asymptotics for functionals of powers of a periodogram
Modern Stochastics: Theory and Applications, 2015 We present large sample properties and conditions for asymptotic normality of linear functionals of powers of the periodogram constructed with the use of tapered data.
Lyudmyla Sakhno
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Some Asymptotic Results of Kernel Density Estimator in Length-Biased Sampling [PDF]
Journal of Sciences, Islamic Republic of Iran, 2013 In this paper, we prove the strong uniform consistency and asymptotic normality of the kernel density estimator proposed by Jones [12] for length-biased data.The approach is based on the invariance principle for the empirical processes proved by Horváth [
M. Ajami, V. Fakoor, S. Jomhoori
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Consistency and Asymptotic Normality of the Maximum Likelihood Estimator in
IEEE Access, 2022 The Gamma distribution based generalized linear model ( $Ga$ GLM) is a kind of statistical model feasible for the positive value of a non-stationary stochastic system, in which the location and the scale are regressed by the corresponding explanatory ...
Benchao Wang, Pan Qin, Hong Gu
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Local Asymptotic Normality in Quantum Statistics [PDF]
Communications in Mathematical Physics, 2007 41 pages, to appear in Commun.
Guţă, Mădălin, Jenčová, Anna
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A Conway–Maxwell–Poisson-Binomial AR(1) Model for Bounded Time Series Data
Entropy, 2023 Binomial autoregressive models are frequently used for modeling bounded time series counts. However, they are not well developed for more complex bounded time series counts of the occurrence of n exchangeable and dependent units, which are becoming ...
Huaping Chen, Jiayue Zhang, Xiufang Liu
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Random complex zeroes, I. Asymptotic normality [PDF]
Israel Journal of Mathematics, 2004 We consider three models (elliptic, flat and hyperbolic) of Gaussian random analytic functions distinguished by invariance of their zeroes distribution. Asymptotic normality is proven for smooth functionals (linear statistics) of the set of zeroes.
Sodin, Mikhail, Tsirelson, Boris
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Integral Least-Squares Inferences for Semiparametric Models with Functional Data
Journal of Applied Mathematics, 2014 The inferences for semiparametric models with functional data are investigated. We propose an integral least-squares technique for estimating the parametric components, and the asymptotic normality of the resulting integral least-squares estimator is ...
Limian Zhao, Peixin Zhao
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KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer
Molecular Oncology, EarlyView.Treatment resistance is a major challenge for patients with advanced prostate cancer. This study examined an alternative approach to target the major prostate cancer‐promoting pathway by targeting epigenetic factors, whose levels are higher in tumours.
Jennie N Jeyapalan +16 more
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Austrian Journal of StatisticsThis paper investigates the simultaneous estimation of two drift parameters of a Cox-Ingersoll-Ross (CIR) model, for which observations can be made either continuously or at discrete time instants.
Olha Prykhodko, Kostiantyn Ralchenko
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