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asymptotic results

Unified Asymptotic Results for Maximum Spacing and Generalized Spacing Methods for Continuous Models

Unified Asymptotic Results for Maximum Spacing and Generalized Spacing Methods for Continuous Models

... Asymptotic results are obtained using an approach based on limit theorem results obtained for α -mixing sequences for the class of general spacings (GSP) methods which include the maximum spacings ...

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Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results

Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results

... One of the nice properties of kernel classifiers such as SVMs is that they often produce sparse so- lutions. However, the decision functions of these classifiers cannot always be used to estimate the conditional ...

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Asymptotic results for conditional measures of association of a random sum

Asymptotic results for conditional measures of association of a random sum

... Abstract. Asymptotic results are obtained for several conditional mea- sures of ...the results have confirmed the “one-jump” property of the risk ...Our results help in understanding the ...

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Some Asymptotic Results of Kernel Density 
Estimator in Length-Biased Sampling

Some Asymptotic Results of Kernel Density Estimator in Length-Biased Sampling

... An interesting overview of nonparametric contributions to the literature on estimating problems when the observations are taken from weighted distributions can be found in Cristóbal and Alcalá [7]. The asymptotic ...

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Asymptotic Results for Goodness of Fit Tests Using a Class of Generalized Spacing Methods with Estimated Parameters

Asymptotic Results for Goodness of Fit Tests Using a Class of Generalized Spacing Methods with Estimated Parameters

... follow asymptotic normal distributions without unknown parame- ...emphasize results for the null composite hypothesis: the parameters can be estimated by a generalized spacing method (GSP) first which is ...

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Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators

Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators

... the asymptotic behavior of a class of plug-in procedures based on kernel estimators of the density of the p-values, as the number m of tested hypotheses grows to ...tighter asymptotic FDR control for any ...

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ASYMPTOTIC RESULTS FOR AN INVENTORY MODEL OF TYPE (s, S) WITH A GENERALIZED BETA INTERFERENCE OF CHANCE

ASYMPTOTIC RESULTS FOR AN INVENTORY MODEL OF TYPE (s, S) WITH A GENERALIZED BETA INTERFERENCE OF CHANCE

... the results of Feller [7] and Khaniyev and Atalay [9], we obtain an asymptotic expansion, when γ ≡ (S − s) /2 → ...proposed asymptotic expansion is examined with a Monte Carlo simulation. ...

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Some exact and asymptotic results for best uniform approximation

Some exact and asymptotic results for best uniform approximation

... In this thesis, we shall add to the list of these known functions, some special class of continuous functions whose best -uniform rational approximations and the quantity En,mf can be gi[r] ...

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Asymptotic results for conditional measures of association of a random sum

Asymptotic results for conditional measures of association of a random sum

... Permanent repository link: http://openaccess.city.ac.uk/12171/ Link to published version: http://dx.doi.org/10.1016/j.insmatheco.2014.10.012 Copyright and reuse: City Research Online aim[r] ...

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The Construction of Pairwise Additive  Minimal BIB Designs with Asymptotic  Results

The Construction of Pairwise Additive Minimal BIB Designs with Asymptotic Results

... An asymptotic existence of balanced incomplete block (BIB) designs and pairwise balanced de- signs (PBD) has been discussed in ...an asymptotic existence of pairwise additive BIB de- signs is proved by use ...

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Asymptotic Theory for GARCH-in-mean Models

Asymptotic Theory for GARCH-in-mean Models

... no asymptotic theory was ...obtained asymptotic results for a modified version of the conditional heteroscedastic in mean model by combining both parametric and non-parametric ...

152

On the Spectrum of Asymptotic Expansions for an Asymptotic Normal Sequence

On the Spectrum of Asymptotic Expansions for an Asymptotic Normal Sequence

... ing to their asymptotic orders. Step 1 is achieved by first replacing the exponent of the integrand in (1) with its Taylor series expansion, then isolating the quadratic term of the Taylor series and performing a ...

8

Asymptotic hyperfunctions, tempered hyperfunctions, and asymptotic
expansions

Asymptotic hyperfunctions, tempered hyperfunctions, and asymptotic expansions

... include asymptotic, tempered, and Fourier hyperfunc- ...decay, asymptotic, that is, rapid decay, tempered growth, and in- fraexponential growth, symbolized in that order by ᏻ ∗ , ᏻ −∞ , ᏻ ∞ , ᏻ ∗ ...

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Existence results for the general Schrödinger equations with a superlinear Neumann boundary value problem

Existence results for the general Schrödinger equations with a superlinear Neumann boundary value problem

... the asymptotic behavior of solutions of the mentioned equation. These results generalize some previous results concerning the asymptotic behavior of solutions of non-delay systems of ...

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Fixed point results for generalized mappings

Fixed point results for generalized mappings

... point results for weak asymptotic pointwise contraction type mappings in metric ...weak asymptotic pointwise nonexpansive type mappings in CAT(0) ...Our results improve and extend some ...

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DIAGNOSTIC TEST FOR GARCH MODELS BASED ON ABSOLUTE RESIDUAL AUTOCORRELATIONS

DIAGNOSTIC TEST FOR GARCH MODELS BASED ON ABSOLUTE RESIDUAL AUTOCORRELATIONS

... There is a wide range of literature on modelling of these conditional heteroscedastic time series models but model checking and diagnostics have not been given due attention. Testing the adequacy of conditional ...

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Precise Asymptotic Distribution of  the Number of Isolated Nodes in  Wireless Networks with  Lognormal Shadowing

Precise Asymptotic Distribution of the Number of Isolated Nodes in Wireless Networks with Lognormal Shadowing

... c n → ∞ , assuming the n nodes are uniformly distributed in a disk on the plane. M. Penrose proved that the longest edge of the minimum spanning tree (MST) equals the critical transmission range for connectivity [16], he ...

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Mixed moments and local dimensions of measures

Mixed moments and local dimensions of measures

... The purpose of this section is to provide various auxiliary results that will be used in the proofs of Theorem 1.1. The two main results results are Lemma 2.2 and Lemma 2.4. Lemma 2.2 provides an ...

11

Linearization of randomly weighted empiricals under long range dependence with application to nonlinear regression quantiles

Linearization of randomly weighted empiricals under long range dependence with application to nonlinear regression quantiles

... similar asymptotic properties + Moreover , for the one-sample location model , the definition of NLRSP reduces to Hájek and Sˇidák’s definition of rank process + Toward that end , fix any b Z n ~a! and the ...

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Fixed point theorems for some new nonlinear mappings in Hilbert spaces

Fixed point theorems for some new nonlinear mappings in Hilbert spaces

... Theorem 3.6 . Let C be a nonempty closed convex subset of a real Hilbert space H , and let T : C ® C be an asymptotic nonspreading mapping. Let a and b be the same as in Definition 1.1. Suppose that a(x)/b(x) = r ...

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