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Printed in Great Britain Asymptotic equivalence of an expansion test and an
"... approximate degrees of freedom test ..."
ASYMPTOTIC EQUIVALENCE OF THE JACKKNIFE AND INFINITESIMAL JACKKNIFE VARIANCE ESTIMATORS FOR SOME SMOOTH STATISTICS
, 2001
"... Abstract. The jackknife variance stimator and the infinitesimal jackknife variance estimator are shown to be asymptotically equivalent if the functional of interest is a smooth function of the mean or a trimmed Lstatistic with HSlder continuous weight function. Key words and phrases: Jackknife vari ..."
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Abstract. The jackknife variance stimator and the infinitesimal jackknife variance estimator are shown to be asymptotically equivalent if the functional of interest is a smooth function of the mean or a trimmed Lstatistic with HSlder continuous weight function. Key words and phrases: Jackknife
ASYMPTOTIC EQUIVALENCE FOR INHOMOGENEOUS JUMP DIFFUSION PROCESSES AND WHITE NOISE.
"... Abstract. We prove the global asymptotic equivalence between the experiments generated by the discrete (high frequency) or continuous observation of a path of a time inhomogeneous jumpdiffusion process and a Gaussian white noise experiment. Here, the considered parameter is the drift function, and ..."
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Cited by 1 (1 self)
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Abstract. We prove the global asymptotic equivalence between the experiments generated by the discrete (high frequency) or continuous observation of a path of a time inhomogeneous jumpdiffusion process and a Gaussian white noise experiment. Here, the considered parameter is the drift function
ASYMPTOTIC EQUIVALENCE OF REGRESSION RANK SCORES ESTIMATORS AND RESTIMATORS IN LINEAR MODELS
, 1992
"... The classical Restimators in linear models are computationally more cumbersome than the regression rank scores estimators. Under appropriate regularity conditions, both the methods are shown to be asymptotically equivalent. A coordinatewise modification of regression rank scores estimators is also ..."
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The classical Restimators in linear models are computationally more cumbersome than the regression rank scores estimators. Under appropriate regularity conditions, both the methods are shown to be asymptotically equivalent. A coordinatewise modification of regression rank scores estimators is also
Asymptotic equivalence of spectral density estimation and Gaussian white noise
, 2009
"... We consider the statistical experiment given by a sample y(1),...,y(n) of a stationary Gaussian process with an unknown smooth spectral density f. Asymptotic equivalence, in the sense of Le Cam’s deficiency ∆distance, to two Gaussian experiments with simpler structure is established. The first one ..."
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Cited by 25 (8 self)
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We consider the statistical experiment given by a sample y(1),...,y(n) of a stationary Gaussian process with an unknown smooth spectral density f. Asymptotic equivalence, in the sense of Le Cam’s deficiency ∆distance, to two Gaussian experiments with simpler structure is established. The first one
On asymptotically equivalent shallow water wave equations, Physica D
, 2004
"... The integrable 3rdorder Kortewegde Vries (KdV) equation emerges uniquely at linear order in the asymptotic expansion for unidirectional shallow water waves. However, at quadratic order, this asymptotic expansion produces an entire family of shallow water wave equations that are asymptotically equi ..."
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Cited by 33 (9 self)
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The integrable 3rdorder Kortewegde Vries (KdV) equation emerges uniquely at linear order in the asymptotic expansion for unidirectional shallow water waves. However, at quadratic order, this asymptotic expansion produces an entire family of shallow water wave equations that are asymptotically
THE C ∗ALGEBRAS qA ⊗ K AND S 2 A ⊗ K ARE ASYMPTOTICALLY EQUIVALENT
, 707
"... Abstract. Let A be a separable C ∗algebra. We prove that its stabilized second suspension S 2 A ⊗ K and the C ∗algebra qA ⊗ K constructed by Cuntz in the framework of his picture of KKtheory are asymptotically equivalent. This means that there exist asymptotic morphisms from each to the other who ..."
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Abstract. Let A be a separable C ∗algebra. We prove that its stabilized second suspension S 2 A ⊗ K and the C ∗algebra qA ⊗ K constructed by Cuntz in the framework of his picture of KKtheory are asymptotically equivalent. This means that there exist asymptotic morphisms from each to the other
ASYMPTOTIC EQUIVALENCE OF CERTAIN CLOSED LOOP SUBSPACE IDENTIFICATION METHODS
"... Abstract: Subspace identification for closed loop systems has been recently studied by several authors. Even though results are available which allows to compute the asymptotic variance of the estimated parameters for several algorithms, less clear is the situation as to relative performance is conc ..."
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Cited by 1 (0 self)
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is concerned. In this paper we partly answer this last question showing that the SSARX algorithm introduced by Jansson, which requires preliminary ARX modeling, and its “geometric version” called PBSID in the literature, which does not require any preliminary estimation step, are asymptotically equivalent
Asymptotic Equivalent Circuits of Interconnects based on Complex Frequency Method
"... Abstract — Nowaday, Spice is widely used for circuit designs and simulations of ICs. Therefore, it is a very important to develop a user friendly simulator with Spice for solving LSI circuits coupled with interconnects, because LSI circuits are usually connected with PCBs(printed circuit boards) w ..."
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nique of replacing the interconnect by an asymptotic equivalent circuits based on a complex frequency method. We found from many simulation results that we can get the good results even with the low order approximations. Thus, using the equivalent circuits, we can easily obtain the transient responses of LSI
Asymptotic Equivalence Between Information Criteria And Accumulated Prediction Errors In . . .
, 2003
"... We investigate the predictive ability of the accumulated prediction error (APE) of Rissanen in an infiniteorder autoregressive (AR(#)) model. Since there are infinitely many parameters in the model, all finiteorder AR models are misspecified. We first show that APE is asymptotically equivalent to ..."
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We investigate the predictive ability of the accumulated prediction error (APE) of Rissanen in an infiniteorder autoregressive (AR(#)) model. Since there are infinitely many parameters in the model, all finiteorder AR models are misspecified. We first show that APE is asymptotically equivalent
Results 21  30
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