Results 171 to 180 of about 359,536 (206)

The delta-method for actuarial statistics

Scandinavian Actuarial Journal, 1996
Abstract Asymptotic normality of nonparametric estimators is derived using the delta-method and Pollard's Central Limit Theorem for the empirical process indexed by a class of functions. The results are applied to estimation problems in actuarial mathematics.
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Dirac delta methods for Helmholtz transmission problems

Advances in Computational Mathematics, 2006
The Helmholtz transmission problem which requires solving a system of Helmholtz equations with different wave numbers, one on a bounded domain and the other on its complement, coupled through continuity conditions on the interface for the unknown and some related fluxes is solved using a boundary integral method with single layer potentials.
Víctor Domínguez, María-Luisa Rapún, Francisco-Javier Sayas   +2 more
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A Useful Analytical Method for Discrete Adaptive Delta Modulation

IEEE Transactions on Communications, 1977
-In this paper a simple expression is derived for the formula of variable quantizing step size. This formula can be used to improve the following ability of the discrete adaptive delta modulation codec. Then it is shown that the previously published formulas for video signal can be reduced to this expression.
Saburo Tazaki, Hisashi Osawa, Yasuo Shigematsu   +2 more
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Periodic Dirac Delta Distributions in the Boundary Element Method

Advances in Computational Mathematics, 2002
The authors analyse the Dirac delta methods defined on equally spaced grids for a class of pseudodifferential equations of negative or zero order. Asymptotic expansions of the error are obtained for delta-spline and delta-delta methods. As a byproduct the authors obtain the existence of asymptotic expansions of the nodal error and of the error under ...
Ricardo Celorrio, Víctor Domínguez, Francisco-Javier Sayas   +2 more
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Who Invented the Delta Method?

The American Statistician, 2012
Many statisticians and other scientists use what is commonly called the “delta method.” However, few people know who proposed it. The earliest article was found in an obscure journal, and the author is rarely cited for his contribution. This article briefly reviews three modern versions of the delta method and how they are used.
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Delta Method, Moment Convergence, and Inference

Communications in Statistics - Theory and Methods, 2013
Statistics, as functions of the observations, are usually given by well-behaved functions. This fact is used to obtain limit distributions for statistics whose components are given by asymptotically linear functions. These results are then extended to the moments of distributions, covariance matrices and confidence regions for parameters of interest ...
Miguel Fonseca, João Tiago Mexia
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Multivariate Application Domains for the Delta Method

AIP Conference Proceedings, 2011
Given statistics with components Yi = gi(μ+X), i = 1,…,m, and domains D such that, when μ e D, distributions derived applying to Delta method may be used. The case in which X is normal is singled out. Then the approximate distributions are normal and may be applied in situations with high non‐centrality parameter Δ = μtΣ−1μ.
João T. Mexia, Célia Nunes, Manuela M. Oliveira, Theodore E. Simos, George Psihoyios, Ch. Tsitouras, Zacharias Anastassi   +6 more
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Extension of the Parametric Delta Method with an Application to an Inference Method for a Degradation Model

Journal of Statistical Theory and Practice, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bordes, Laurent, Paroissin, Christian, Salami, Ali   +2 more
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A “Delta Method” Approach to Bahadur–Kiefer Theorems

Scandinavian Journal of Statistics, 1998
We consider an approach to deriving Bahadur–Kiefer theorems based on a “delta method” for sequences of minimizers. This approach is used to derive Bahadur–Kiefer theorems for the sample median and other estimators.
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Heaviside Operational Method for Delta Function Sequences

Journal of Electromagnetic Waves and Applications, 1998
Summary: Delta function sequences are regular functions approaching the singular delta function. They represent more realistic physical models for concentrated sources than the idealized delta function. It is shown that delta function sequences can be formed in a straightforward manner through the Heaviside operational calculus, by defining quasi ...
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