Results 11 to 20 of about 2,181,691 (306)

Profile Maximum Likelihood Estimation of Single-Index Spatial Dynamic Panel Data Model

open access: yesMathematics, 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
doaj   +1 more source

A Special Study of the Mixed Weighted Fractional Brownian Motion

open access: yesFractal and Fractional, 2021
In this work, we present the analysis of a mixed weighted fractional Brownian motion, defined by ηt:=Bt+ξt, where B is a Brownian motion and ξ is an independent weighted fractional Brownian motion.
Anas D. Khalaf   +5 more
doaj   +1 more source

Comparative Study Between Parametric and Non-Parametric Estimation for the Normal Density Function [PDF]

open access: yesThe 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
doaj   +1 more source

Parametric estimation of handoff [PDF]

open access: yes2012 NATIONAL CONFERENCE ON COMPUTING AND COMMUNICATION SYSTEMS, 2012
The efficiency of wireless technology depends upon the seamless connectivity to the user at anywhere any time.Heterogeneous wireless networks are an integration of different networks with diversified technologies. The most essential requirement for Seamless vertical handover is that the received signal strength should always be healthy.
openaire   +2 more sources

Parametric Estimation of Diffusion Processes: A Review and Comparative Study

open access: yesMathematics, 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
doaj   +1 more source

Comparison of EVT Approach with Other Methods of Measuring Market Risk (VAR) in the Context of the Backtesting and Kupiec Test: Implications for Market Risk Management of Financial Institutions [PDF]

open access: yesفصلنامه پژوهش‌های اقتصادی ایران, 2017
In recent years, by using extreme value theory (EVT), researchers have estimated the market risk for rare events (crises) more accurately. This paper examines the different methods of measuring market risk at different levels of reliability. According to
Reza Taleblou, mohammad mahdi davoudi
doaj   +1 more source

Application of the Crow Search Algorithm to the Problem of the Parametric Estimation in Transformers Considering Voltage and Current Measures

open access: yesComputers, 2022
The problem of the electrical characterization of single-phase transformers is addressed in this research through the application of the crow search algorithm (CSA).
David Gilberto Gracia-Velásquez   +2 more
doaj   +1 more source

Bayesian Estimation of Component Reliability in Coherent Systems

open access: yesIEEE Access, 2018
The first step in statistical reliability studies of coherent systems is the estimation of the reliability of each system component. For the cases of parallel and series systems, the literature is abundant, but it seems that the present paper is the ...
Agatha S. Rodrigues   +3 more
doaj   +1 more source

Top Incomes and Inequality Measurement: A Comparative Analysis of Correction Methods Using the EU SILC Data

open access: yesEconometrics, 2018
It is sometimes observed and frequently assumed that top incomes in household surveys worldwide are poorly measured and that this problem biases the measurement of income inequality.
Vladimir Hlasny, Paolo Verme
doaj   +1 more source

Time-Varying Nonlinear Causality Detection Using Regularized Orthogonal Least Squares and Multi-Wavelets With Applications to EEG

open access: yesIEEE Access, 2018
A new transient Granger causality detection method is proposed based on a time-varying parametric modeling framework, and is applied to the real EEG signals to reveal the causal information flow during motor imagery (MI) tasks.
Yang Li   +4 more
doaj   +1 more source

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