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…”
Get full text

Comparative analysis of elementwise reception-algorithms in intersymbol interference channels by Eugene O. Khabarov, Vladimir D. Martyshenko

Subjects: Get full text

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

Subjects: Get full text

A novel quantile regression for fractiles based on unit logistic exponential distribution by Hanan Haj Ahmad, Kariema A. Elnagar

Subjects: Get full text

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

Subjects: Get full text

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

Subjects: Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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). …”
Get full text

An improved geometric algorithm for indoor localization by Junhua Yang, Yong Li, Wei Cheng

“…Comparing to trilateration, fingerprint, and maximum-likelihood method, the bilateral greed iteration method improves the localization accuracy and reduces complexity of localization process. …”
Get full text

The Optimal Control and MLE of Parameters of a Stochastic Single-Species System by Huili Xiang, Zhijun Liu

“…This paper investigates the optimal control and MLE (maximum likelihood estimation) for a single-species system subject to random perturbation. …”
Get full text

Estimation of the Parameters of Burr Type III Distribution Based on Dual Generalized Order Statistics by Chansoo Kim, Woosuk Kim

“…The estimation of the parameters of Burr type III distribution based on dual generalized order statistics is considered by using the maximum likelihood (ML) approach as well as the Bayesian approach. …”
Get full text

A New Bivariate Extended Generalized Inverted Kumaraswamy Weibull Distribution by Mahmoud Ragab, Ahmed Elhassanein

“…The performance of the maximum likelihood method is investigated via Monte Carlo simulation depending on the bias and the standard error. …”
Get full text

Asymmetric Randomly Censored Mortality Distribution: Bayesian Framework and Parametric Bootstrap with Application to COVID-19 Data by Rashad M. EL-Sagheer, Mohamed S. Eliwa, Khaled M. Alqahtani, Mahmoud EL-Morshedy

“…From the perspective of frequentist, we derive the point estimations through the method of maximum likelihood estimation. Furthermore, approximate confidence intervals for the parameters are constructed based on the asymptotic distribution of the maximum likelihood estimators. …”
Get full text

Estimation of Parameters of Generalized Inverted Exponential Distribution for Progressive Type-II Censored Sample with Binomial Removals by Sanjay Kumar Singh, Umesh Singh, Manoj Kumar

“…We obtained the maximum likelihood and Bayes estimators of the parameters of the generalized inverted exponential distribution in case of the progressive type-II censoring scheme with binomial removals. …”
Get full text

Modified Slash Lindley Distribution by Jimmy Reyes, Osvaldo Venegas, Héctor W. Gómez

“…Moment estimators and maximum likelihood estimators are calculated using numerical procedures. …”
Get full text

Geographically Weighted Multivariate Logistic Regression Model and Its Application by M. Fathurahman, Purhadi, Sutikno, Vita Ratnasari

“…The parameter estimation was done using the maximum likelihood estimation and Newton-Raphson methods, and the maximum likelihood ratio test was used for hypothesis testing of the parameters. …”
Get full text

Two-Stage Adaptive Optimal Design with Fixed First-Stage Sample Size by Adam Lane, Nancy Flournoy

“…We show that the distribution of the maximum likelihood estimates converges to a scale mixture family of normal random variables. …”
Get full text

Statistical Investigation of Bearing Capacity of Pile Foundation Based on Bayesian Reliability Theory by Zuolong Luo, Fenghui Dong

“…The parameter estimation of the maximum likelihood method and the Bayesian statistical theory was used to estimate the parameter estimation of the Normal distribution, which has been compared with the theoretical value of the pseudosample of Normal distribution. …”
Get full text