WIND SPEED ANALYSIS AT IKEJA, NIGERIA USING THE CONVENTIONAL PROBABILITY DENSITY FUNCTIONS by OLUSEYI OGUNSOLA, OFURE OSAGIEDE

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Detection Schemes With Low-Resolution ADCs and Spatial Oversampling for Transmission With Higher-Order Constellations in Terahertz Band by Christian Forsch, Peter Zillmann, Osama Alrabadi, Stefan Brueck, Wolfgang Gerstacker

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Pruning automatic sphere decoding algorithm and performance analysis by LI Ying, WEI Ji-bo

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A low-complexity detection algorithm for quadrature spatial modulation systems by Kai LUO, Junwei HUANG, Pengguang ZHOU, Hao XU, Can WU

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Modified Chen distribution: Properties, estimation, and applications in reliability analysis by M. G. M. Ghazal

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Fitting of nonnegative physical models based on statistical divergence: application to thermally stimulated depolarization currents by Yasunobu Ando, Shusuke Kasamatsu, Suguru Iwasaki, Yumi Tanaka

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Accelerated failure model with empirical analysis and application to colon cancer data: Testing and validation by John Abonongo, Anuwoje Ida L. Abonongo, Abdussalam Aljadani, Mahmoud M. Mansour, Haitham M. Yousof

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Efficient sampling designs to assess biodiversity spatial autocorrelation: should we go fractal? by Laroche, Fabien

Subjects: “…beta-diversity, distance-decay, fractal, maximum likelihood, model-based inference, optimal design, sampling design, spatial autocorrelation…”
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Comparative analysis of elementwise reception-algorithms in intersymbol interference channels by Eugene O. Khabarov, Vladimir D. Martyshenko

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Emergence of Carbapenem-Resistant <i>bla</i>_POM-1 Harboring <i>Pseudomonas otitidis</i> Isolated from River Water in Ghana by Frederick Ofosu Appiah, Samiratu Mahazu, Isaac Prah, Taira Kawamura, Yusuke Ota, Yohei Nishikawa, Mitsunori Yoshida, Masato Suzuki, Yoshihiko Hoshino, Toshihiko Suzuki, Tomoko Ishino, Anthony Ablordey, Ryoichi Saito

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Comparison of Instrumental Variable Methods With Continuous Exposure and Binary Outcome: A Simulation Study by Shunichiro Orihara, Atsushi Goto

Subjects: “…limited information maximum likelihood…”
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Remote sensing image segmentation based on spatially constrained Gaussian mixture model with unknown class number by Quan-hua ZHAO, Xue SHI, Yu WANG, Yu LI

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Design and Performance Analysis of Multirate-NOMA by Hamad Yahya, Emad Alsusa, Arafat Al-Dweik

Subjects: “…joint-multiuser maximum likelihood sequence detector (JMLSD)…”
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A novel quantile regression for fractiles based on unit logistic exponential distribution by Hanan Haj Ahmad, Kariema A. Elnagar

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MODELLING ZERO-INFLATED OVER DISPERSED DENGUE DATA VIA ZERO-INFLATED POISSON INVERSE GAUSSIAN REGRESSION MODEL: A CASE STUDY OF BANGLADESH by Sukanta Chakraborty, Soma Chowdhury Biswas

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Approximation of the first passage time density of a Wiener process to an exponentially decaying boundary by two-piecewise linear threshold. Application to neuronal spiking activit... by Massimiliano Tamborrino

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Asymptotic Behavior of the Likelihood Function of Covariance Matrices of Spatial Gaussian Processes by Ralf Zimmermann

“…The covariance structure of spatial Gaussian predictors (aka Kriging predictors) is generally modeled by parameterized covariance functions; the associated hyperparameters in turn are estimated via the method of maximum likelihood. In this work, the asymptotic behavior of the maximum likelihood of spatial Gaussian predictor models as a function of its hyperparameters is investigated theoretically. …”
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Testing Data Cloning as the Basis of an Estimator for the Stochastic Volatility in Mean Model by E. Romero, E. Ropero-Moriones

“…This study introduces a Bayesian methodology that leverages data-cloning algorithms to obtain maximum likelihood estimates for SV and SVM model parameters. …”
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From the General Affine Transform Family to a Pareto Type IV Model by Werner Hürlimann

“…The analytical form of general affine transform families with given maximum likelihood estimators for the affine parameters is determined. …”
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On Local Linear Approximations to Diffusion Processes by X. L. Duan, Z. M. Qian, W. A. Zheng

“…In general, the maximum likelihood functions for diffusion models are not available, hence it is difficult to derive the exact maximum likelihood estimator (MLE). …”
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