EVALUATING QUASI-MONTE CARLO (QMC) ALGORITHMS IN BLOCKS DECOMPOSITION OF DE-TRENDED

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FATHI VAJARGAH K.

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Journal: INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS Year:2015 | Volume:7 | Issue:4 Page(s): 293-299

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Information Journal Paper

Title

EVALUATING QUASI-MONTE CARLO (QMC) ALGORITHMS IN BLOCKS DECOMPOSITION OF DE-TRENDED

Author(s)

FATHI VAJARGAH K. | Issue Writer Certificate

Keywords

DE-TRENDED FLUCTUATION ANALYSISQ2

LONG-RANGE DEPENDENCEQ2

CHOLESKY DECOMPOSITIONQ2

QUASI MONTE CARLO SIMULATIONQ2

Abstract

The length of equal minimal and maximal blocks has effected on logarithm-scale logarithm against sequential function on variance and bias of DE-TRENDED FLUCTUATION ANALYSIS, by using Quasi Monte Carlo (QMC) simulation and CHOLESKY DECOMPOSITIONs, minimal block couple and maximal are founded which are minimum the summation of mean error square in Horest power.

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APA: Copy

FATHI VAJARGAH, K.. (2015). EVALUATING QUASI-MONTE CARLO (QMC) ALGORITHMS IN BLOCKS DECOMPOSITION OF DE-TRENDED. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, 7(4), 293-299. SID. https://sid.ir/paper/231694/en

Vancouver: Copy

FATHI VAJARGAH K.. EVALUATING QUASI-MONTE CARLO (QMC) ALGORITHMS IN BLOCKS DECOMPOSITION OF DE-TRENDED. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS[Internet]. 2015;7(4):293-299. Available from: https://sid.ir/paper/231694/en

IEEE: Copy

K. FATHI VAJARGAH, “EVALUATING QUASI-MONTE CARLO (QMC) ALGORITHMS IN BLOCKS DECOMPOSITION OF DE-TRENDED,” INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, vol. 7, no. 4, pp. 293–299, 2015, [Online]. Available: https://sid.ir/paper/231694/en

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