Parametric Estimation of Diffusion Processes: A Review and Comparative Study
Mathematics, 2021 This paper provides an in-depth review about parametric estimation methods for stationary stochastic differential equations (SDEs) driven by Wiener noise with discrete time observations.
Alejandra López-Pérez +2 more
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Neutrosophic Generalized Rayleigh Distribution with Application [PDF]
Neutrosophic Sets and Systems, 2023 In this paper, we consider the neutrosophic generalized Rayleigh distribution (NGRD). Various neutrosophic properties of NGRD are developed and discussed. The developed distribution is specifically more useful to model indeterminate data which are skewed
Mina Norouzirad +2 more
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A Non-Parametric Approach for Survival Analysis of Component-Based Software [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2020 Reliability of a software or system is the probability of system to perform its functions adequately for the stated time period under specific environment conditions.
Sandeep Chopra +4 more
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Bounding Surface Model and Parameters Study on Describing the Behavior of Cement-treated Clay with Cementation Degradation [PDF]
Zhengzhou Daxue xuebao. Gongxue ban, 2021 Based on the concept of modified mean effective stress, the effect of cementitious bonding and the loss of bonding during loading for cement-treated clay were described, in which most of the parameters could be got automatically by program calculation ...
YAN Fuyou +3 more
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Synthesis of Load and Feeder Models Using Point on Wave Measurement Data
IEEE Open Access Journal of Power and Energy, 2021 This paper describes a novel method to synthesize load and feeder models, by estimating the load composition and the load parameters, using instantaneous voltage and current measurements, obtained at the distribution level, from disturbance events.
Sameer Nekkalapu +5 more
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Semi-Parametric Estimation and Inference for the Mean Outcome of the Single Time-Point Intervention in a Causally Connected Population. [PDF]
J Causal Inference, 2017 Sofrygin O, van der Laan MJ.
europepmc +2 more sources
A Review of Shannon and Differential Entropy Rate Estimation
Entropy, 2021 In this paper, we present a review of Shannon and differential entropy rate estimation techniques. Entropy rate, which measures the average information gain from a stochastic process, is a measure of uncertainty and complexity of a stochastic process. We
Andrew Feutrill, Matthew Roughan
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Profile Maximum Likelihood Estimation of Single-Index Spatial Dynamic Panel Data Model
Mathematics, 2023 In this paper, the spatial dynamic panel data (SDPD) model is extended to the single-index spatial dynamic panel data (Si-SDPD) model by introducing a nonlinear connection function to reflect the interaction between explanatory variables.
Mengqi Zhang, Boping Tian
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Sensors, 2023 This paper presents a comparative study that explores the performance of various meta-heuristics employed for Optimal Signal Design, specifically focusing on estimating parameters in nonlinear systems.
Accacio Ferreira dos Santos Neto +5 more
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Comparative Study Between Parametric and Non-Parametric Estimation for the Normal Density Function [PDF]
The Egyptian Statistical Journal, 1993 A comparative study between parametric and non-parametric estimation for the probability density function (pdf) is done. The parametric method depends on additional information (or assumptions) about the form of the pdf.
Amira Tarik
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