Results 61 to 70 of about 983,706 (222)
Existence of an Unbiased Consistent Entropy Estimator for the Special Bernoulli Measure
Моделирование и анализ информационных систем, 2019 Let \(\Omega = A^N\) - be a space of right-sided infinite sequences drawn from a finite alphabet \(A = \{0,1\}\), \(N = {1,2,\dots} \), \[\rho(\boldsymbol{x},\boldsymbol{y}) = \sum_{k=1}^{\infty}|x_{k} - y_{k}|2^{-k} \] - a metric on \(\Omega\), and ...
Evgeniy A. Timofeev
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, 2004 The nonlinear fixed-effects model has two shortcomings, one practical and one methodological. The practical obstacle relates to the difficulty of computing the MLE of the coefficients of non-linear models with possibly thousands of dummy variable ...
W. Greene
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A simple variance estimator for unequal probability sampling without replacement
, 2003 Survey sampling textbooks often refer to the Sen-Yates-Grundy variance estimator for use with without replacement unequal probability designs. This estimator is rarely implemented, because of the complexity of determining joint inclusion probabilities ...
Berger, Yves G.
core
A nonparametric model-based estimator for the cumulative distribution function of a right censored variable in a finite population [PDF]
, 2014 In survey analysis, the estimation of the cumulative distribution function (cdf) is of great interest: it allows for instance to derive quantiles estimators or other non linear parameters derived from the cdf.
Casanova, Sandrine, Leconte, Eve
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Assessing Coupling Dynamics from an Ensemble of Time Series
Entropy, 2015 Finding interdependency relations between time series provides valuable knowledge about the processes that generated the signals. Information theory sets a natural framework for important classes of statistical dependencies.
Germán Gómez-Herrero +5 more
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Estimation in dynamic panel data models: Improving on the performance of the standard GMM estimator
, 2000 This chapter reviews developments to improve on the poor performance of the standard GMM estimator for highly autoregressive panel series. It considers the use of the ‘system’ GMM estimator that relies on relatively mild restrictions on the initial ...
R. Blundell +2 more
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An estimator for pairwise relatedness using molecular markers.
Genetics, 2002 I propose a new estimator for jointly estimating two-gene and four-gene coefficients of relatedness between individuals from an outbreeding population with data on codominant genetic markers and compare it, by Monte Carlo simulations, to previous ones in
Jinliang Wang
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Application of the Scaling Functions to Nonparametric Regression [PDF]
Informatică economică, 2007 For estimating regression function we can use many proceedings. In this paper, we have chosen to apply scaling functions to the estimation of regression functions.
doaj
Development of adaptive sideslip angle estimator
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2016 The sideslip angle is used to control a vehicle for safety, however, it is hard to estimate the sideslip angle. In many researches, the estimator needs many unattainable variables, such as yaw inertia or cornering stiffness, to estimate the sideslip ...
ChanHo PARK +4 more
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