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An improvement of the GPH estimator

Economics Letters, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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GPHS‐RTG performance on the Galileo mission

AIP Conference Proceedings, 1991
The Galileo spacecraft, launched in October, 1989, is powered by two General Purpose Heat source‐Radioisotope Thermoelectric Generator (GPHS‐RTGs). These RTGs were designed, built, and tested by General Electric under contract from the Office of Special Applications of the Department of Energy (DOE).
Richard J. Hemler, Robert D. Cockfield
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Criticality Calculations for Step-2 GPHS Modules

AIP Conference Proceedings, 2008
The Multi-Mission Radioisotope Thermoelectric Generator (MMRTG) will use an improved version of the General Purpose Heat Source (GPHS) module as its source of thermal power. This new version, referred to as the Step-2 GPHS Module, has additional and thicker layers of carbon fiber material (Fine Weaved Pierced Fabric) for increased strength over the ...
Ronald J. Lipinski   +2 more
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Proteolytic processing of phage λ tail protein gpH: timing of the cleavage

Virology, 1983
We describe a method for the rapid partial purification of intermediate structures of phage lambda tail assembly, using formaldehyde-fixed Escherichia coli cells to precipitate tail-related structures. The purification depends on the specific interaction between the E. coli lambda receptor protein and lambda tail protein gpJ.
Hendrix, RW, Tsui, L-C
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Evaluating the GPH Estimator via Bootstrap Technique

2002
In this work a bootstrap method for long-memory processes is presented. The method is based on a combination of the discrete wavelet transform and the stationary bootstrap and is a development of the one presented by Percival et al. (2001). This bootstrap scheme is empirically tested calculating the GPH estimator for fractional gaussian noise time ...
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Computing Ruin Probability Using the GPH Distribution

Journal of the Korean Operations Research and Management Science Society, 2015
Even though ruin probability is a fundamental value to determine the insurance premium and policy, the complexity involved in computing its exact value forced us resort to an approximate method. In this paper, we first present an exact method to compute ruin probability under the assumption that the claim size has a GPH distribution, Then, for the ...
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Tuning Task Granularity and Data Locality of Data Parallel GPH Programs

Parallel Processing Letters, 2001
The performance of data parallel programs often hinges on two key coordination aspects: the computational costs of the parallel tasks relative to their management overhead — task granularity; and the communication costs induced by the distance between tasks and their data — data locality.
HANS-WOLFGANG LOIDL   +2 more
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Estimating long memory: Scaling function vs Andrews and Guggenberger GPH

Economics Letters, 2007
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The AFT, GPH, LT, Frailty, and GLPH Models

2016
Under the covariate \(x(\cdot )\) the probability \( S_{x(\cdot )}(t)\) characterizes for any fixed t the summing effect of covariate values in the interval [0, t] on survival.
Mikhail Nikulin, Hong-Dar Isaac Wu
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