Results 21 to 30 of about 13,471,124 (303)
Warranty Claim Forecasting Based On Weighted Maximum Likelihood Estimation [PDF]
Warranty claims reported in recent months might carry more up-to-date information than those reported in earlier months. Using weighted maximum likelihood estimation for estimating model parameters might therefore lead to better performance of warranty ...
Akbarov, Artur +3 more
core +1 more source
Modeling of Autonomous Underwater Vehicles with Multi-Propellers Based on Maximum Likelihood Method
The hydrodynamic characteristics of multi-propeller autonomous underwater vehicles (AUV) is usually complicated and it is difficult to obtain an accurate mathematical model. A modeling method based on CFD calculation and maximum likelihood identification
Feiyan Min, Guoliang Pan, Xuefeng Xu
doaj +1 more source
A Method of Maximum-Likelihood Estimation
SUMMARY Knowledge of one or more of the parameters in a maximum-likelihood problem sometimes results in a very considerable simplification, the analysis becoming almost trivial. A method of obtaining maximum-likelihood estimates and their asymptotic covariance matrix is given which makes it possible to capitalize on simplifications of ...
openaire +2 more sources
Deconvolution provides an efficient technology to implement angular super-resolution for scanning radar forward-looking imaging. However, deconvolution is an ill-posed problem, of which the solution is not only sensitive to noise, but also would be ...
Ke Tan +5 more
doaj +1 more source
One distribution of rainfall data is a lognormal distribution with location parameters and scale parameters . This study aims to estimate the mean and variance of rainfall data in several selected cities and regencies in West Sumatra.
Ferra Yanuar +2 more
doaj +1 more source
PHASE NOISE INVESTIGATION OF MAXIMUM LIKELIHOOD ESTIMATION METHOD FOR AIRBORNE MULTIBASELINE SAR INTERFEROMETRY [PDF]
The phase estimation of cross-track multibaseline synthetic aperture interferometric data is usually thought to be very efficiently achieved using the maximum likelihood (ML) method.
C. Magnard, D. Small, E. Meier
doaj +1 more source
On A Maximum Likelihood Method for Clustering
In this paper, we propose a new clustering method based on the concept of maximum likelihood (ML) estimation. In general, the problem of local minima arises when we try to use the ML method in clustering problems. Our method circumvents this problem by employing the so called simulated annealing technique.
openaire +1 more source
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben +4 more
wiley +1 more source
Implementing and evaluating the nested maximum likelihood estimation technique [PDF]
Estimating parameters describing response time distributions is difficult. The most commonly used method for parameter estimation is the maximum likelihood method (ML).
Denis Cousineau
doaj
ABSTRACT Introduction This final analysis of a multicenter, prospective postmarketing surveillance study evaluated the safety of daprodustat in patients with chronic kidney disease anemia in routine clinical practice in Japan. Methods Patients who initiated daprodustat between September 2020 and July 2022 were registered.
Tadao Akizawa +7 more
wiley +1 more source

