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pro vyhledávání: '"62F10"'
Autor:
Attia, Iman Mohammed
In the present paper, Probability weighted moments (PWMs) method for parameter estimation of the median based unit weibull (MBUW) distribution is discussed. The most widely used first order PWMs is compared with the higher order PWMs for parameter es
Externí odkaz:
http://arxiv.org/abs/2412.07404
Autor:
Barczy, Matyas, Páles, Zsolt
We investigate the monotone representation and measurability of generalized $\psi$-estimators introduced by the authors in 2022. Our first main result, applying the unique existence of a generalized $\psi$-estimator, allows us to construct this estim
Externí odkaz:
http://arxiv.org/abs/2412.02783
Autor:
Anisimov, Volodymyr, Oliver, Lucas
Clinical trials in the modern era are characterized by their complexity and high costs and usually involve hundreds/thousands of patients to be recruited across multiple clinical centres in many countries, as typically a rather large sample size is r
Externí odkaz:
http://arxiv.org/abs/2411.17393
Autor:
Bapat, Sudeep R., Maheshwari, Aditya
Modelling wildfire events has been studied in the literature using the Poisson process, which essentially assumes the independence of wildfire events. In this paper, we use the fractional Poisson process to model the wildfire occurrences in Californi
Externí odkaz:
http://arxiv.org/abs/2411.13995
Mean-field limits have been used now as a standard tool in approximations, including for networks with a large number of nodes. Statistical inference on mean-filed models has attracted more attention recently mainly due to the rapid emergence of data
Externí odkaz:
http://arxiv.org/abs/2411.12936
A fundamental question in the field of molecular computation is what computational tasks a biochemical system can carry out. In this work, we focus on the problem of finding the maximum likelihood estimate (MLE) for log-affine models. We revisit a co
Externí odkaz:
http://arxiv.org/abs/2411.07986
Autor:
Ganguly, Arnab
The paper studies asymptotic properties of estimators of multidimensional stochastic differential equations driven by Brownian motions from high-frequency discrete data. Consistency and central limit properties of a class of estimators of the diffusi
Externí odkaz:
http://arxiv.org/abs/2411.03623
Autor:
Kang, Taegyu, Owada, Takashi
A new estimator is proposed for estimating the tail exponent of a heavy-tailed distribution. This estimator, referred to as the layered Hill estimator, is a generalization of the traditional Hill estimator, building upon a layered structure formed by
Externí odkaz:
http://arxiv.org/abs/2411.05808
We consider the projected normal distribution, with isotropic variance, on the 2-sphere using intrinsic statistics. We show that in this case, the expectation commutes with the projection and that the covariance of the normal variable has a 1-1 corre
Externí odkaz:
http://arxiv.org/abs/2410.22384
Autor:
Attia, Iman Mohammed
A new 2 parameter unit Weibull distribution is defined on the unit interval (0,1). The methodology of deducing its PDF, some of its properties and related functions are discussed. The paper is supplied by many figures illustrating the new distributio
Externí odkaz:
http://arxiv.org/abs/2410.19019