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| Author: | Saliby, E. |
| Title: | Descriptive sampling: A better approach to Monte Carlo simulation |
| Journal: | Journal of the Operational Research Society
1990 : DEC, VOL. 41:12, p. 1133-1142 |
| Index terms: | SAMPLING MONTE CARLO TECHNIQUE SIMULATION DISTRIBUTION RANDOM SAMPLE STATISTICAL METHODS |
| Language: | eng |
| Abstract: | Descriptive sampling is proposed as a more appropriate approach in Monte Carlo simulation than the standard simple random sampling. Descriptive sampling is based on a deterministic and purposive selection of the sample values - in order to conform as closely as possible to the sampled distribution - and the random permutation of these values. It represents a conceptual change in Monte Carlo sampling, departing from the principle that simple values must be randomly generated in order to describe random behaviour. The basis of the new idea, examples of its use and empirical results are presented. |
SCIMA