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The Importance of Cost of Living and Education in Estimates of the Conditional Wage Gap Between Black and White Women
Cost of Living and Education Conditional Wage Gap Black White Women
2016/3/3
While evidence about discrimination in U.S. labor markets typically implies preferential treatment for whites, recent studies document a substantial wage premium for black women (for example, Fryer 20...
Research of Estimates of Tax Revenue: An Overview
Forecasting Microsimulations Regression analysis Tax revenue
2016/1/27
The paper deals with a summary of findings in the area of tax forecasts. It describes the basic methodology for predicting tax revenues, both in terms of the macroeconomic approach and from a microeco...
Boundary Harnack principle and gradient estimates for fractional Laplacian perturbed by non-local operators
Harmonic function boundary Harnack principle gradient estimate non-local operator Green function Poisson kernel
2016/1/26
Boundary Harnack principle and gradient estimates for fractional Laplacian perturbed by non-local operators.
Smoothed state estimates under abrupt changes using sum-of-norms regularization
Smoothing Sparsity Regularization Change detection
2015/7/9
The presence of abrupt changes, such as impulsive and load disturbances, commonly occur in applications, but make the state estimation problem considerably more difficult than in the standard setting ...
Wireless Link Adaptation Policies:QoS for Deadline Constrained Traffic with Imperfect Channel Estimates
Wireless Link Adaptation Policies QoS Deadline Constrained Traffic Imperfect Channel Estimates
2015/7/8
We present an optimal power and rate control policy for delay constrained traffic in next generation TDMA wireless systems. Our solution minimizes average transmit power while satisfying a constraint ...
Relative Performance of Expected and Observed Fisher Information in Covariance Estimation for Maximum Likelihood Estimates
Relative Performance Expected and Observed Fisher Information Covariance Estimation Maximum Likelihood Estimates
2013/6/13
Maximum likelihood estimation is a popular method in statistical inference. As a way of assessing the accuracy of the maximum likelihood estimate (MLE), the calculation of the covariance matrix of the...
Asymptotic Normality of Estimates in Flexible Seasonal Time Series Model with Weak Dependent Error Terms
seasonal time series model local linear estimates consistency and asymptotic
2013/5/2
In this paper we considered a general seasonal time series model with K-dependent and \rambda-dependent errors, which are new concepts of dependence. In this model we derived consistency and asymptoti...
Monte-Carlo utility estimates for Bayesian reinforcement learning
Monte-Carlo estimates Bayesian reinforcement learning
2013/5/2
This paper introduces a set of algorithms for Monte-Carlo Bayesian reinforcement learning. Firstly, Monte-Carlo estimation of upper bounds on the Bayes-optimal value function is employed to construct ...
Consistency of M estimates for separable nonlinear regression models
Nonlinear regression separable models con-sistency robust estimation.
2012/9/18
Consider a nonlinear regression model :yi =g(xi, 兤) +ei, i = 1, ..., n,where thexi are random predictorsxi and兤is the unknown parameter vector ranging in a set set 儲伡Rp. All known results on the consi...
Maximum-Likelihood Non-Decreasing Response Estimates
maximum likelihood unimodal PDF families
2011/7/19
Let $x_{i,j}$, $1 \le i \le m$, $1 \le j \le n_i$, be observations from a doubly-indexed sequence $\{X_{i,j}\}$ of independent random variables (all of them discrete, or all of them absolutely continu...
Resistant estimates for high dimensional and functional data based on random projections
Resistant estimates high dimensional functional data based
2011/7/5
In this paper we propose a new robust estimation method based on random projections which is adaptive, produces an automatic robust estimate, while being easy to compute for high or infinite dimension...
General bootstrap for dual phi-divergences estimates
Bootstrap consistency weighted bootstrap Kaplan-Meier
2011/7/5
A general notion of bootstrapped $\phi$-divergences estimates constructed by exchangeably weighting sample is introduced.
Estimates of Year-to-Year Volatility in Earnings and in Household Incomes from Administrative, Survey, and Matched Data
Year-to-Year Volatility Earnings Household Incomes Administrative Survey Matched Data
2016/3/9
We document trends in the volatility in earnings and household incomes between 1985 and 2005 in three different data sources: administrative earnings records, the Survey of Income and Program Particip...
Smooth and non-smooth estimates of a monotone hazard
failure rate isotonic regression asymptotics penalized estimators smooth-ing
2011/3/24
We discuss a number of estimates of the hazard under the assumption that the hazard is monotone on an interval [0,a]. The usual isotonic least squares estimators of the hazard are inconsistent at the ...
Smooth and non-smooth estimates of a monotone hazard
failure rate isotonic regression asymptotics penalized estimators smooth-ing
2011/3/23
We discuss a number of estimates of the hazard under the assumption that the hazard is monotone on an interval [0,a]. The usual isotonic least squares estimators of the hazard are inconsistent at the ...