نتایج جستجو برای: characteristic function moments

تعداد نتایج: 1390191  

ژورنال: اندیشه آماری 2018
abdollahi nanvapisheh, anita,

‎In this paper‎, ‎first‎, ‎we investigate probability density function and the failure rate function of some families of exponential distributions‎. ‎Then we present their features such as expectation‎, ‎variance‎, ‎moments and maximum likelihood estimation and we identify the most flexible distributions according to the figure of probability density function and the failure rate function and f...

Journal: :IEICE Transactions 2017
Shunsuke Yamaki Masahide Abe Masayuki Kawamata

This paper proposes the statistical analysis of phase-only correlation functions between two real signals with phase-spectrum differences. For real signals, their phase-spectrum differences have oddsymmetry with respect to frequency indices. We assume phase-spectrum differences between two signals to be random variables. We next derive the expectation and variance of the POC functions consideri...

Kavous Khorshidian, Nayereh Bageri Khoolenjani,

 The ratio of independent random variables arises in many applied problems. In this article, the distribution of the ratio X/Y is studied, when X and Y are independent Rice random variables. Ratios of such random variable have extensive applications in the analysis of noises of communication systems. The exact forms of probability density function (PDF), cumulative distribution function (CDF) a...

2014
Tibor K. Pogány

The main aim of this article is to characterize and investigate the three parameter exponentiated exponential Poisson probability distribution EEP(α, β, λ) by giving explicit closed form expressions for its characteristic function φξ(t) and moment generating function Mξ(t), and finally, to show that the existing series and integral form expressions for positive integer order moments Eξ , ν ∈ N ...

2008
ASHKAN NIKEGHBALI

We give a probabilistic interpretation for the Barnes G-function which appears in random matrix theory and in analytic number theory in the important moments conjecture due to Keating-Snaith for the Riemann zeta function, via the analogy with the characteristic polynomial of random unitary matrices. We show that the Mellin transform of the characteristic polynomial of random unitary matrices an...

Journal: :Communications in Statistics 2021

We introduce a new broad and flexible class of multivariate elliptically symmetric distributions including the logistic normal. Various probabilistic properties distribution are studied, linear transformations, marginal distributions, conditional moments, stochastic representations characteristic function. also consider estimation issues associated with mean vector dispersion matrix. An analysi...

Journal: :journal of the iranian statistical society 0
g. g. hamedani

several characterizations of marshall-olkin generalized distributions, introduced by gui (2013) and by al-saiari et al. (2014) are presented. these characterizations are based on: (i) a simple relationship between two truncated moments ; (ii) the hazard function.

Journal: :Physical review 2022

When one considers a shock wave in the frame where is at rest, on either side has steady flow which converges to equilibrium away from shock. However, hydrodynamics unable describe this if asymptotic velocity higher than characteristic speed of theory. We obtain an exact solution for decay rate conformal fluid kinetic theory under relaxation time approximation, and compare it two hydrodynamic s...

Journal: :Annales de l’Institut Henri Poincaré D 2022

We establish formulae for the moments of characteristic polynomials random orthogonal and symplectic matrices in terms certain lattice point count problems. This allows us to asymptotic when matrix-size tends infinity volumes regions involving continuous Gelfand–Tsetlin patterns with constraints. The results we find differ from those unitary case considered previously.

Ch. A. Charalambides,

Consider a sequence of n independent observations from a population of increasing size αi, i = 1,2,... and an absolutely continuous initial distribution function. The distribution of the kth record value is represented as a countable mixture, with mixing the distribution of the kth record time and mixed the distribution of the nth order statistic. Precisely, the distribution function and (pow...

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