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Methodology for Structuring MLE Regulations and Its Automatic Review in Medical Accounts
In this work, we propose a method for the automatic review of Chilean medical accounts. The medical bills are governed by the Free Choice Modality...
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Predict Exchange Rate by Adopting Maximum Likelihood Estimation (MLE) Method Approach
Forecasting exchange rates is one of the difficulties that researchers and experimenters face. In the near term, the currency market is often...
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A MLE-based blind signal separation method for time–frequency overlapped signal using neural network
The blind signal separation (BSS) algorithm obtains each original/source signal from the observed signal collected by the receiving antenna or...
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Estimation of Software Reliability Using Lindley Distribution Based on MLE and UMVUE
Today’s world is computerized in every field. Reliable software is the most important concern for every software developers. Software reliability is...
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Hybrid Speech Steganography System using SS-RDWT with IPDP-MLE approach
Generally, defence applications need the high secured communication over the channel. Most of the defence-based communications are performed through...
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An Adaptive EKF Algorithm with Adaptation of Noise Statistic Based on MLE, EM and ICE
Simultaneous Localization and Map** (SLAM) deals with simultaneous map** and estimates the position of a robot moving in an environment. One of...
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A new fuzzy MLE-clustering approach based on object-to-group probabilistic distance measure: from anomaly detection to multi-fault classification in datacenter computational nodes
Datacenters are expanding in size and complexity to the point where anomaly detection and infrastructure monitoring become critical challenges. One...
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Estimation Algorithms for MLE of Three-Mode GMANOVA Model with Kronecker Product Covariance Matrix
Currently, there are a lot of measurement data on different items collected over time. The GMANOVA model is appropriate for analyzing the trends in...
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On the asymptotic performance of time-delay and Doppler estimation with a carrier modulated by a band-limited signal
Time-delay and Doppler estimation is crucial in various engineering fields, as estimating these parameters constitutes one of the key initial steps...
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An Almost Unbiased Ridge Estimator for the Conway–Maxwell–Poisson Regression Model
The Poisson model is the most widely used model for counts type response variables. It has a limitation of equal mean and variance, which undermines...
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Assessment of Drag Prediction Techniques for a Flying Vehicle Based on Radar-Tracked Data
As far as the aerodynamic characterization of a flying vehicle is concerned, flight testing is probably the most accurate approach as it perfectly...
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Estimation of the reliability parameter for a Poisson-exponential stress-strength model
In this paper, we consider the problem of estimating the reliability parameter of a mixed-type stress-strength model, i.e., the probability
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Lyapunov stability of suspension bridges in turbulent flow
In the era of sleek, super slender suspension bridges, facing the issue of stability against dynamic wind actions represents an increasingly complex...
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Minimum Rényi Pseudodistance Estimators for Logistic Regression Models
In this work we propose a new family of estimators, called minimum Rényi pseudodistance estimators (MRPE), as a robust generalization of maximum...
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Learn from one and predict all: single trajectory learning for time delay systems
This paper focuses on learning the dynamics of time delay systems from trajectory data and proposes the use of the maximal Lyapunov exponent (MLE) as...
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Comprehensive Approach for Image Noise Analysis: Detection, Classification, Estimation, and Denoising
Image noise is undesirable that can negatively affect the quality of digital images. It reduces the image quality and increases the processing...
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Classification Algorithms Implementation for Fire Prevention Data on Multiple Wireless Node Sensors
The Theory of probability is considered as a key of artificial intelligence and specially the probability density. In the paper we raise the Decision...
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Dawoud–Kibria Estimator for the Logistic Regression Model: Method, Simulation and Application
The logistic regression model (LRM) is used when the response variable is in a binary form. In the presence of multicollinearity, the variances and...
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Degradation modeling of turbofan engines based on a flexible nonlinear wiener process with random drift diffusion
Degradation modeling using condition monitoring (CM) data is fundamental for prognostics and health management (PHM). However, due to the variations...
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Distribution Models: Parameter Estimation
The following explanations focus on the estimation of parametersEstimation of parameters with regard to the fitting of a distribution model to a...