Optimal receiver and blind demodulation performance bounds for single channel co-frequency mixed signals by YU Hongyi, ZHA Renpeng, SHEN Zhixiang, SHEN Caiyao, HU Yunpeng

“…Aiming at the problem of optimal detection of mixed signal symbol sequences, on the basis of co-frequency mixed receiving baseband signal model, sufficient statistics for joint maximum likelihood blind detection were derived, and the optimal receiver design of “mixed waveform matched filtering and symbol rate dual sampling” was given. …”
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The Generalization Inverse Weibull Distribution Related to X-Gamma Generator Family: Simulation and Application for Breast Cancer by R. Alshenawy

“…Moreover, four estimation methods, namely, the maximum likelihood, maximum product spacing, least squares, and weighted least squares methods, are utilized to estimate the XGAIW parameters. …”
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Automatic Quantification of Immunohistochemically Stained Cell Nuclei Using Unsupervised Image Analysis by Petter Ranefall, Kenneth Wester, Ewert Bengtsson

“…An independent test set consisting of images grabbed with different focus and illumination for each field of view was used to test the method, and the proposed method showed less variation than the intraoperator variation using supervised Maximum Likelihood classification.…”
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Low-Complexity Decoding Algorithms for Distributed Space-Time Coded Regenerative Relay Systems by Chao Zhang, Huarui Yin

“…Considering the high computational complexity of optimal Maximum Likelihood (ML) decoder, we also propose two low-complexity decoders, Max-Log decoder and Max-Log-Sphere decoder. …”
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The Exponentiated Half-Logistic Family of Distributions: Properties and Applications by Gauss M. Cordeiro, Morad Alizadeh, Edwin M. M. Ortega

“…We discuss the estimation of the model parameters by maximum likelihood and demonstrate the potentiality of the new family by means of two real data sets.…”
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A Fast and Efficient Estimation of the Parameters of a Model of Accident Frequencies via an MM Algorithm by Issa Cherif Geraldo, Edoh Katchekpele, Tchilabalo Abozou Kpanzou

“…We design a minorization-maximization (MM) algorithm and an accelerated MM algorithm to compute the maximum likelihood estimates of the parameters. We illustrate, through simulations, the performance of our proposed MM algorithm and its accelerated version by comparing them to Newton-Raphson (NR) and quasi-Newton algorithms. …”
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Estimating the Proportion of True Null Hypotheses in Multiple Testing Problems by Oluyemi Oyeniran, Hanfeng Chen

“…In this article, we develop an innovative nonparametric maximum likelihood approach to estimate π0. The nonparametric likelihood is proposed to be restricted to multinomial models and an EM algorithm is also developed to approximate the estimate of π0. …”
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Computational Procedure of Performance Assessment of Lifetime Index of Products for the Weibull Distribution with the Progressive First-Failure-Censored Sampling Plan by Ching-Wen Hong, Wen-Chuan Lee, Jong-Wuu Wu

“…This study will apply the large-sample theory to construct a maximum likelihood estimator (MLE) of CL with the progressive first-failure-censored sampling plan under the Weibull distribution. …”
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Two-Step Frequency Estimation of GNSS Signal in High-Dynamic Environment by Chao Wu, Yafeng Li, Liyan Luo, Jian Xie, Ling Wang

“…In the second step, the maximum likelihood estimation process (MLEP) is adopted for fine MF estimation. …”
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SATELLITE-BASED MULTITEMPORAL CHANGE DETECTION IN IGNEADA FLOODED FORESTS by ALIYE GONCA BOZKAYA, FILIZ BEKTAS BALCIK, CIGDEM GOKSEL, AHMET OZGUR DOGRU, NESIBE NECLA ULUGTEKIN, SEVAL SOZEN

“…Change detection methodology of land use/land cover has four main stages: 1) Preprocessing of satellite images, 2) Classifying images using maximum likelihood method, 3) Accuracy assessment of the classification, 4) Comparing classified images in GIS environment and 5) Change detection.…”
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General Results for the Transmuted Family of Distributions and New Models by Marcelo Bourguignon, Indranil Ghosh, Gauss M. Cordeiro

“…We estimate the model parameters of the family by the method of maximum likelihood. We prove empirically the flexibility of the proposed model by means of an application to a real data set.…”
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An Improved Clutter Suppression Method for Weather Radars Using Multiple Pulse Repetition Time Technique by Yingjie Yu, Yong Li

“…The suppression method is constructed using maximum likelihood methodology in time domain and is called parametric time domain method (PTDM). …”
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A SIC and ML approach for MIMO non-orthogonal multiple access signal detection by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

“…For the identification of signals in the 8 × 8, 16 × 16, 64 × 64 and 256 × 256 O-NOMA frameworks, we provide a Maximum Likelihood (ML) and Successive Interference cancellation (SIC) method in this paper. …”
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Statistical Inferences of Burr XII Lifetime Models under Joint Type-1 Competing Risks Samples by Tahani A. Abushal, A. A. Soliman, G. A. Abd-Elmougod

“…So, under Type-I joint competing risks samples, we obtained the maximum likelihood (ML) and Bayes estimators. Interval estimation is discussed through asymptotic confidence interval, bootstrap confidence intervals, and Bayes credible interval. …”
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A New Probability Heavy-Tail Model for Stochastic Modeling under Engineering Data by M. El-Morshedy, M. S. Eliwa, Afrah Al-Bossly, Haitham M. Yousof

“…After studying and analyzing its mathematical properties, different classical estimation methods such as the ordinary least square, Cramér-von Mises, weighted least square, maximum likelihood, and Anderson–Darling estimation along with its corresponding left-tail and right-tail estimation methods are considered. …”
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Comparison of Different Confidence Intervals under Type-I Censoring Scheme by Ali Algarni, Abdullah M. Almarashi, Debasis Kundu, G. A. Abd-Elmougod, Sayed Abdel-Khalek

“…The estimator with maximum likelihood method is obtained in an exact form and its distribution is also obtained with the unknown parameter. …”
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Use of Directional Spectra for Detection of Engine Cylinder Power Fault by Chong-Won Lee, Yun-Sik Han, Jong-Po Park

“…As spectral estimators, the maximum likelihood and FFT methods are compared, and the multi-layer neural network is employed for pattern recognition. …”
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A New Generalization of the Lomax Distribution with Increasing, Decreasing, and Constant Failure Rate by Pelumi E. Oguntunde, Mundher A. Khaleel, Mohammed T. Ahmed, Adebowale O. Adejumo, Oluwole A. Odetunmibi

“…In this present study, the Lomax distribution was extended using the Gompertz family of distribution, its resulting densities and statistical properties were carefully derived, and the method of maximum likelihood estimation was proposed in estimating the model parameters. …”
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Keiferia azapaensis sp. nov., the first representative of the New World micromoth genus Keiferia Busck (Lepidoptera, Gelechiidae) associated with a member of Asteraceae by Héctor Vargas

“…Despite this unusual host plant, a Maximum Likelihood analysis, based on mitochondrial DNA sequences, placed the new species within a well-supported Keiferia clade. …”
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Identification of three novel species and one new record of Kirschsteiniothelia (Kirschsteiniotheliaceae, Kirschsteiniotheliales) from Jiangxi, China by Xing-Xing Luo, Ming-Gen Liao, Ya-Fen Hu, Xiu-Guo Zhang, Zhao-Huan Xu, Jian Ma

“…Based on morphological examination and phylogenetic analyses of combined ITS, LSU, and SSU sequences data using maximum-likelihood and Bayesian inference, three new species of Kirschsteiniothelia, namely K. ganzhouensis, K. jiangxiensis, and K. jiulianshanensis, were introduced, and one known species, K. inthanonensis, was recorded for the first time from China. …”
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