Results 1 to 10 of about 39,628 (252)
A guide to Whittle maximum likelihood estimator in MATLAB [PDF]
Frontiers in Network Physiology, 2023 The assessment of physiological complexity via the estimation of monofractal exponents or multifractal spectra of biological signals is a recent field of research that allows detection of relevant and original information for health, learning, or ...
Clément Roume
doaj +2 more sources
Maximum-Likelihood Estimator of Clock Offset between Nanomachines in Bionanosensor Networks [PDF]
Sensors, 2015 Recent advances in nanotechnology, electronic technology and biology have enabled the development of bio-inspired nanoscale sensors. The cooperation among the bionanosensors in a network is envisioned to perform complex tasks.
Lin Lin, Chengfeng Yang, Maode Ma
doaj +2 more sources
Inference in group sequential designs with causal mechanisms: implications for power and mediation analysis [PDF]
BMC Medical Research MethodologyBackground Group sequential designs are increasingly employed to allow trials to stop early with statistical rigor. While existing work focuses on intention-to-treat effect on clinical endpoints, the properties of mediation analysis (commonly conducted ...
Kim May Lee, Richard Emsley
doaj +2 more sources
Modern Stochastics: Theory and Applications, 2021 In this study, we consider a bias reduction of the conditional maximum likelihood estimators for the unknown parameters of a Gaussian second-order moving average (MA(2)) model.
Fumiaki Honda, Takeshi Kurosawa
doaj +1 more source
A Local Search Maximum Likelihood Parameter Estimator of Chirp Signal
Applied Sciences, 2021 A local search Maximum Likelihood (ML) parameter estimator for mono-component chirp signal in low Signal-to-Noise Ratio (SNR) conditions is proposed in this paper. The approach combines a deep learning denoising method with a two-step parameter estimator.
Guangli Ben +4 more
doaj +1 more source
Semi-Nonparametric Maximum Likelihood Estimation [PDF]
Econometrica, 1987 The density of Hermite forms: \[ h(u)=P^ 2_ k(u-\tau)\Phi^ 2(u| \tau,diag(\gamma)) \] where \(P_ k\) is a polynomial of degree K and \(\Phi\) is the density function of the multivariate normal distribution is shown to be capable of approximating any density arbitrarily closely subject to minimal qualifications relating to compactness, denseness ...
Gallant, A Ronald, Nychka, Douglas W
openaire +1 more source
Computation, 2023 In this paper, we investigate the performance of a variety of frequentist estimation techniques for the scale and shape parameters of the Lomax distribution.
Thobeka Nombebe +3 more
doaj +1 more source
Mathematics, 2020 In the modeling and analysis of reliability data via the Lindley distribution, the maximum likelihood estimator is the most commonly used for parameter estimation. However, the maximum likelihood estimator is highly sensitive to the presence of outliers.
Muhammad Aslam Mohd Safari +2 more
doaj +1 more source
IEEE Access, 2021 A new mixture generalized Pareto distribution is introduced. Then, some of its attributes are explored. The maximum likelihood method and expectation maximization (EM) algorithm have been applied to estimate the parameters for complete and right-censored
Mohamed Kayid
doaj +1 more source
Controlled Parameter Estimation for The AR(1) Model with Stationary Gaussian Noise
Fractal and Fractional, 2022 This paper deals with the maximum likelihood estimator for the parameter of first-order autoregressive models driven by the stationary Gaussian noises (Colored noise) together with an input. First, we will find the optimal input that maximizes the Fisher
Lin Sun, Chunhao Cai, Min Zhang
doaj +1 more source