[PDF] Top 20 Nonparametric estimation of the sojourn time distributions for a multipath model
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Nonparametric estimation of copula functions for dependence modelling
... measures of dependence among components of random vectors. Unlike the marginal and the joint distributions, which are directly observable, a copula is a hidden dependence ... See full document
18
A Semiparametric Approach to the Estimation of the Stochastic Frontier Model with Time Variant Technical Efficiency
... sion of the nonparametric component decreases to ...all the MSEs of the parameter estimators in Table 2 fall short of, but do not substantially differ from those in Table ... See full document
27
Efficient Importance Sampling Estimation for Joint Default Probability: the First Passage Time Problem
... [14] for further details with applications in credit risk. For our thematic topic of estimating joint default probabilities un- der high-dimensional Black-Cox model, this technique ... See full document
15
Estimation of mean sojourn time for lung cancer by chest X-ray screening with a Bayesian approach
... study, the transient response of a surface crack in an elastic solid subjected to dynamic anti- plane concentrated loadings is ...investigated. The angles of the surface crack ... See full document
23
A nonparametric regression model for virtual humans generation
... results for body movements and novel views ...provide the comparisons with the view morphing technique proposed by Seitz and Dyer [39], and the image deformation using the moving least ... See full document
25
Extended Real Model of Kalman Filter for Time-Varying Harmonics Estimation
... 摘要: The effective harmonics estimation for measuring power signals has become an important issue in the power quality ...limitations for harmonics estimation can be ...real ... See full document
1
Regression modeling for nonparametric estimation of distribution and quantile functions
... Institute of Technology Abstract: We propose a local linear estimator of a smooth distribution ...from a regression model in which the value of the empirical ... See full document
18
NONPARAMETRIC BAYES RISK ESTIMATION FOR PATTERN-CLASSIFICATION
... In the computer experiments reported, the estimate of the Bayes risk is taken as the sample mean of the density estimate by making use of the leave-one-out method.. The probability densi[r] ... See full document
6
A modified model for the estimation of fatigue life derived from random vibration theory
... Although the application of random vibration theory in the prediction of fatigue damage and fatigue life has been questioned by some fatigue experimenters, the present study indicates ... See full document
8
A Statistical Model for the Headed and Tail Distributions of Random Telegraph Signal Magnitudes in Nanoscale MOSFETs
... ONCLUSION The closed-form statistical model has been devised and has reproduced headed distributions of two-level RTS magnitudes in the subthreshold current at low drain ...enable ... See full document
8
Multipath Flatted-Hexagon Search for Block Motion Estimation
... has the least BDM value among points checked in the current ...true for the assumption that the search direction oriented by the minimal BDM point at each step will be toward ... See full document
11
BISECTOR ANGLE ESTIMATION IN A NONSYMMETRIC MULTIPATH RADAR SCENARIO
... Simulations are presented assessing the performance of the new bisector angle estimator and comparing the per- formsnce of symmetric BDML employing the new estimator with[r] ... See full document
12
A beamspace-time interference canceling CDMA receiver for sectored communications in a multipath environment
... ONCLUSION A blind adaptive beamspace–time receiver has been proposed for sectored CDMA wireless ...communications. The proposed re- ceiver is designed with a two-stage ...First, ... See full document
11
A note on Bayesian estimation and prediction for the beta-binomial model
... DOWN FOR ARTICLE Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our ...to the accuracy, ... See full document
21
Nonparametric maximum likelihood estimation for dependent truncation data based on copulas
... convergence a b s t r a c t Truncation occurs when the variable of interest can be observed only if its value satisfies certain selection ...methods for analyzing such data critically ... See full document
18
A clustering time series model for the optimal hedge ratio decision making
... dependence of the future depending on past relation- ships of local ...multiple time series into several groups using finite-mixture models. Within a panel of time series, ... See full document
13
On measuring the minimum detection time: A simple reaction time study in the time estimation paradigm
... from the strong signal conditions ...However, the effect of the signal intensity on the lower tails of the RT histograms is not clear in those researchers’ ...sets ... See full document
26
Systematic Parameter Estimation Strategy for Refining the Birkenes Model
... The Kolmogorov-Smirnov (K-S) test with a specified level of significance (e.g. 5%) is used to classify whether or not the distributions for the acceptable and unacceptable results are [r] ... See full document
10
Reducing variance in nonparametric surface estimation
... then the reduction in variance that it offers leads directly to a reduction in asymptotic mean squared ...exploits the extra degree of freedom that is available in the problem of ... See full document
23
The influence of neuromuscular activation on the estimation of optimal muscle length using a muscle model
... Consequently, the variations in the joint torques pro- duced under different conditions might lead to statis- tical differences in the estimation of optimal muscle ...As a result ... See full document
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