Results 1 to 10 of about 4,846 (159)

Random Environment Integer-Valued Autoregressive Process with Discrete Laplace Marginal Distributions

open access: yesRevstat Statistical Journal, 2023
A new random environment integer-valued autoregressive process of order 1 with discrete Laplace marginal distributions and with r states (abbrev. RrDLINAR1(M, A)) is introduced.
Bogdan A. Pirković   +2 more
doaj   +2 more sources

Wrapping Generalized Laplace and Generalized Discrete Laplace Distributions

open access: yesAxioms
Generalized Laplace and discrete generalized Laplace models are described and some of their properties are reviewed. For the analysis of directional data, it is natural to consider wrapped versions of these models.
Barry C. Arnold, Ashis SenGupta
doaj   +2 more sources

On a modification of the Hamming method for summing discrete Fourier series and its application to solve the problem of correction of thermographic images

open access: yesDiscrete and Continuous Models and Applied Computational Science, 2022
The paper considers mathematical methods of correction of thermographic images (thermograms) in the form of temperature distribution on the surface of the object under study, obtained using a thermal imager.
Evgeniy B. Laneev, Obaida Baaj
doaj   +1 more source

Prediction of Temperature Distribution for Previous Cement Concrete Pavement with Asphalt Overlay

open access: yesApplied Sciences, 2020
In this study, the temperature distribution of a pavement was predicted by developing an analytic algorithm. The Laplace and inverse Laplace transform techniques and Gaussian quadratic formula were applied to a pavement system of an asphalt overlay ...
Lijuan Zhang, Jianwu Huang, Peilong Li
doaj   +1 more source

Differentially Private Inference for Binomial Data

open access: yesThe Journal of Privacy and Confidentiality, 2020
We derive uniformly most powerful (UMP) tests for simple and one-sided hypotheses for a population proportion within the framework of Differential Privacy (DP), optimizing finite sample performance.
Jordan Alexander Awan   +1 more
doaj   +1 more source

PROLIFIC: A Fast and Robust Profile-Likelihood-Based Muscle Onset Detection in Electromyogram Using Discrete Fibonacci Search

open access: yesIEEE Access, 2020
A stochastic scheme, namely, PLM-Lap, has recently been propounded, which relies on the profile likelihood (PL) constructed with a Laplace distribution for estimating muscle activation onsets (MAOs) in surface electromyographic (sEMG) data.
Easter S. Suviseshamuthu   +4 more
doaj   +1 more source

Discrete Additive Weibull Geometric Distribution

open access: yesJournal of Statistical Theory and Applications (JSTA), 2019
Discretizing a continuous distribution has received much attention among researchers recently. Discrete analogue of the well-known continuous distributions such as Normal, Exponential, Weibull, Laplace, Rayleigh, and so on, are available in the ...
K. Jayakumar, M. Girish Babu
doaj   +1 more source

Discrete alpha-skew-Laplace Distribution

open access: yesSORT. Statistics and Operations Research Transactions, 2015
Classical discrete distributions rarely support modelling data on the set of whole integers. In this paper, we shall introduce a flexible discrete distribution on this set, which can, in addition, cover bimodal as well as unimodal data sets. The proposed distribution can also be fitted to positive and negative skewed data.
Harandi, S. Shams, Alamatsaz, M. H.
openaire   +6 more sources

A New Method for Generating Discrete Analogues of Continuous Distributions

open access: yesJournal of Statistical Theory and Applications (JSTA), 2018
In this paper we use discrete fractional calculus for showing the existence of delta and nabla discrete distributions and then apply time scales for definition of delta and nabla discrete gamma distributions.
M. Ganji, F. Gharari
doaj   +1 more source

Non-Parametric Threshold Estimation for the Wiener–Poisson Risk Model

open access: yesMathematics, 2019
In this paper, we consider the Wiener−Poisson risk model, which consists of a Wiener process and a compound Poisson process. Given the discrete record of observations, we use a threshold method and a regularized Laplace inversion technique to ...
Honglong You, Yuan Gao
doaj   +1 more source

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