✦ LIBER ✦

Some results of error evaluation for a non-Gaussian simulation method

✍ Scribed by Akian, Jean-Luc; Puig, Bénédicte

Book ID: 120137687
Publisher: Walter de Gruyter GmbH & Co. KG
Year: 2004
Tongue: English
Weight: 230 KB
Volume: 10
Category: Article
ISSN: 0929-9629
DOI: 10.1163/156939604323091207

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Simulation method for non-Gaussian speck

Simulation method for non-Gaussian speckle in a partially coherent system

✍ Kang, Dongyel; Milster, Tom D. 📂 Article 📅 2009 🏛 Optical Society of America 🌐 English ⚖ 571 KB

A method for computing error vector magn

A method for computing error vector magnitude in GSM EDGE systems-simulation results

✍ Mashhour, A.; Borjak, A. 📂 Article 📅 2001 🏛 IEEE 🌐 English ⚖ 143 KB

Error retracing and fault localization t

Error retracing and fault localization techniques within Simueva, a system for evaluation of simulation results

✍ Rainer Buschke; Klaus Lagemann 📂 Article 📅 1988 🏛 Elsevier Science ⚖ 787 KB

A CLASS OF NON-GAUSSIAN PROCESSES FOR MO

A CLASS OF NON-GAUSSIAN PROCESSES FOR MONTE CARLO SIMULATION

✍ M. GRIGORIU 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 311 KB

A method for the evaluation of the respo

A method for the evaluation of the response probability density function of some linear dynamic systems subjected to non-Gaussian random load

✍ Settineri, D.; Falsone, G. 📂 Article 📅 2014 🏛 Elsevier Science 🌐 English ⚖ 638 KB

A new method of error analysis for molec

A new method of error analysis for molecular simulations

✍ G.L. Deitrick; L.E. Scriven; H.T. Davis 📂 Article 📅 1991 🏛 Elsevier Science 🌐 English ⚖ 511 KB

This paper compares the performance of the autocovariance integration method with the standard block variance method for estimating the random error of simulation results, and presents computer code with which the newer autocovariance analysis has been applied.