Results 131 to 140 of about 5,783 (171)
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An improvement of the GPH estimator

Economics Letters, 2002
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exaly   +2 more sources

The AFT, GPH, LT, Frailty, and GLPH Models

SpringerBriefs in Statistics, 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, Nikulin Mikhail
exaly   +2 more sources

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 ...
exaly   +2 more sources

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.
R W Hendrix, Roger W Hendrix
exaly   +5 more sources

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 ...
Silvia Golia
exaly   +3 more sources

The performance of the gph estimator of the fractional difference parameter: Simulation results

Review of Quantitative Finance and Accounting, 1992
This paper investigates the behavior of the GPH estimator of the fractional difference parameter suggested by Geweke and Porter-Hudak (1983), through Monte Carlo simulations. The simulation results indicate that when considering a stationary AR(1) generating process the GPH estimator of the fractional difference parameter has serious bias which ...
Mark Wohar
exaly   +2 more sources

GpH (Glasgow Parallel Haskell)

2011
Ananth Kalyanaraman   +17 more
exaly   +2 more sources

Glasgow Parallel Haskell (GpH)

2011
Kevin Hammond, Hammond Kevin
exaly   +2 more sources

Plasma modification of GPH lenses — An unexpected clinical result

Journal of the British Contact Lens Association, 1986
D.A. Hough, K.D. Patel
exaly   +2 more sources

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