Multiple Outlier Detection Tests for Parametric Models
We propose a simple multiple outlier identification method for parametric location-scale and shape-scale models when the number of possible outliers is not specified.
Vilijandas Bagdonavičius +1 more
doaj +1 more source
The generalization of several classical estimators for a positive extreme value index
In this paper, we introduce a family of semi-parametric estimators for the positive extreme value index γ, parameterized in two tuning parameters. The asymptotic normality of the introduced estimators is proved. It is shown that the partial case of newly
Marijus Vaičiulis
doaj +1 more source
Nonparametric Estimation of Quantile-Based Mean Inactivity Time Function
In this article, we propose non-parametric estimators for mean inactivity time function for complete and censored data. The asymptotic properties of the estimators are established using suitable regularity conditions.
Ivallappil Chenichery Aswin +2 more
doaj +1 more source
Nonparametric Estimation of Cumulative Incidence Functions of Recurrent Events
The present paper discusses modeling and analysis of recurrent event data with competing risks. We propose non parametric estimation of cumulative incidence functions of recurrent event competing risks model.
Sisuma Mandakathingal Sivadasan +1 more
doaj +1 more source
Nonparametric estimation in random sum models
Let X1,X2,…,XN be independent, identically distributed, non-negative, integervalued random variables and let N be a non-negative, integer-valued random variable independent of X1,X2,…,XN .
Hassan S. Bakouch, Thomas A. Severini
doaj +1 more source
Panel Data Estimation for Correlated Random Coefficients Models
This paper considers methods of estimating a static correlated random coefficient model with panel data. We mainly focus on comparing two approaches of estimating unconditional mean of the coefficients for the correlated random coefficients models, the ...
Cheng Hsiao +3 more
doaj +1 more source
Optimizing photoexcitation conditions for time‐resolved X‐ray solution scattering experiments
Time‐resolved X‐ray solution scattering (TR‐XSS) is a powerful technique to visualize how proteins change their structure in real time after light activation. Selecting the right laser photoexcitation conditions—fluence, excitation geometry, and sample refresh rate—is critical to maximize the experimental signal while avoiding unwanted side effects ...
Matteo Levantino
wiley +1 more source
Asymptotic properties of wavelet estimators in a semi-parametric EV models with ANA errors
Abstract In this paper, when the errors in the semi-parametric errors-in-variables model are asymptotic negatively associated (or ρ − , for short) random variables, the estimators of parameter, non-parameter, and error variances in the model are
Xufei Tang +3 more
openaire +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source

