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Asymptotic and Bootstrap simulation

LM-Tests for Linearity Against Smooth Transition Alternatives: A Bootstrap Simulation Study

LM-Tests for Linearity Against Smooth Transition Alternatives: A Bootstrap Simulation Study

... from asymptotic theory and focus entirely on small sam- ple performance of a class of tests universally over-looked in the above smooth transition ...broad simulation study of linear AR, STAR and bi- linear ...

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The Power of Bootstrap and Asymptotic Tests

The Power of Bootstrap and Asymptotic Tests

... the bootstrap discrepancy, which measures the difference in rejection probabilities between a bootstrap test based on a given test statistic and that of a (usually infeasible) test based on the true ...

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Asymptotic and bootstrap inference for inequality and poverty measures

Asymptotic and bootstrap inference for inequality and poverty measures

... of asymptotic and bootstrap infer- ence for inequality and poverty ...Our simulation results suggest that neither asymptotic nor standard bootstrap inference for inequality measures ...

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Asymptotic Expansions and Bootstrap Approximations in Factor Analysis

Asymptotic Expansions and Bootstrap Approximations in Factor Analysis

... the asymptotic expansion (3.6). We also compare by a Monte Carlo simulation the performance of the three types of confidence intervals CI1, CI2, and CI3 described in the previous ...

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Bootstrap Tests of Stochastic Dominance with Asymptotic Similarity on the Boundary

Bootstrap Tests of Stochastic Dominance with Asymptotic Similarity on the Boundary

... 5.2 Simulation Results Tables 1F - 3S present the rejection probabilities for the tests with nominal size ...The simulation standard error is approximately ...recentered bootstrap, our procedure is ...

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Bootstrap tests of stochastic dominance with asymptotic similarity on the boundary

Bootstrap tests of stochastic dominance with asymptotic similarity on the boundary

... on bootstrap or ...have asymptotic sizes that are exactly equal to the nominal level uniformly over the boundary points of the null hypothesis and are therefore valid over the whole null hy- ...Our ...

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Asymptotic Versus Bootstrap Inference for Inequality Indices of the Cumulative Distribution Function

Asymptotic Versus Bootstrap Inference for Inequality Indices of the Cumulative Distribution Function

... of bootstrap methods and asymptotic inference is to be preferred in economic investigations of inequality in relation to ordered response ...of asymptotic inference and the Studentized ...

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Stabilizing a GMM Bootstrap for Time Series:A Simulation Study

Stabilizing a GMM Bootstrap for Time Series:A Simulation Study

... Third, besides the bootstrap results, the first-order asymptotic results based on widely applied HAC estimators are also obtained. For this purpose, two most popular automatic bandwidth choice rules by ...

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Unit Root Test in a Threshold Autoregression: Asymptotic Theory and Residual-based Block Bootstrap

Unit Root Test in a Threshold Autoregression: Asymptotic Theory and Residual-based Block Bootstrap

... CARLO SIMULATION This section examines the …nite sample performance of the RBB of W n , compared to that of the conventional ADF ...of simulation repetitions and of bootstrap iterations is set at 200 ...

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Proxy SVARs : asymptotic theory, bootstrap inference, and the effects of income tax changes in the United States

Proxy SVARs : asymptotic theory, bootstrap inference, and the effects of income tax changes in the United States

... wild bootstrap does not correctly replicate the relevant moments between the proxy variables and the VAR ...wild bootstrap multipliers, such as a standard normal ...the bootstrap multipliers ...

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Asymptotic and bootstrap properties of rank regressions

Asymptotic and bootstrap properties of rank regressions

... the bootstrap theory and extends the asymptotic theory of rank estimators, a class of methods that can be applied to popular semi- parametric single-index models or used for robust estimation of parametric ...

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Asymptotic and bootstrap properties of rank regressions

Asymptotic and bootstrap properties of rank regressions

... the bootstrap theory and extends the asymptotic theory of rank estimators, a class of methods that can be applied to popular semi- parametric single-index models or used for robust estimation of parametric ...

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The Block-block Bootstrap: Improved Asymptotic Refinements

The Block-block Bootstrap: Improved Asymptotic Refinements

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Efficient Bootstrap Simulation in Linear Regression

Efficient Bootstrap Simulation in Linear Regression

... of bootstrap methods: one is derived from the fact that the true distribution is substituted by a suitable estimate, and the other is simulation ...balanced bootstrap are more ...

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Asymptotic refinements of bootstrap tests in a linear regression model ; A CHM bootstrap using the first four moments of the residuals

Asymptotic refinements of bootstrap tests in a linear regression model ; A CHM bootstrap using the first four moments of the residuals

... for asymptotic tests and different bootstrap tests by us- ing Edgeworth ...the bootstrap DGP needs to estimate correctly not only the third cumulant but also the fourth, at least at order of the ...

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Asymptotic refinements of bootstrap tests in a linear regression model ; A CHM bootstrap using the first four moments of the residuals

Asymptotic refinements of bootstrap tests in a linear regression model ; A CHM bootstrap using the first four moments of the residuals

... for asymptotic tests and different bootstrap tests by us- ing Edgeworth ...the bootstrap DGP needs to estimate correctly not only the third cumulant but also the fourth, at least at order of the ...

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Kernels Based Tests with Non-asymptotic Bootstrap Approaches for Two-sample Problems

Kernels Based Tests with Non-asymptotic Bootstrap Approaches for Two-sample Problems

... The testing procedures that we introduce hereafter are also intended to overcome the question of calibrating the choice of the kernel and/or the parameters of the kernel, which is crucial when using such kernel methods, ...

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Modelling, asymptotic analysis and simulation of the gas dynamics in a chimney

Modelling, asymptotic analysis and simulation of the gas dynamics in a chimney

... the asymptotic model consists of an ODE and a single PDE timestep, whereas in the fully compressible model we have a time step in a coupled system of three ...

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Bootstrap

Bootstrap

... What Does The What Does The Frame Frame work Consist Of? work Consist Of? Let’s take a quick at Let’s take a quick at BootstrapBootstrap’ s s ! ! le structure to get a broad awareness of what le structure ...

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Asymptotic dimension and asymptotic property

Asymptotic dimension and asymptotic property

... II ASYMPTOTIC DIMENSION Gromov was the first mathematician to define asymptotic dimension, as a part of his program of studying the “large-scale properties” of spaces; see ...behind asymptotic ...

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