Implementing and Documenting Random Number Generators / David C. Hoaglin.
Material type:
- Hardcopy version available to institutional subscribers
Item type | Home library | Collection | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|
Working Paper | Biblioteca Digital | Colección NBER | nber w0075 (Browse shelf(Opens below)) | Not For Loan |
March 1975.
As simulation arid Monte Carlo continue to play an increasing role in statistical research, careful attention must be given to problems which arise in implementing and documenting collect ions of random number generators. This paper examines the value of theoretical as well as empirical evidence in establishing the quality of generators, the selection of generators to comprise a good basic set, the techniques and efficiency of implementation, and the extent of documentation. Illustrative examples are drawn from various current sources.
Hardcopy version available to institutional subscribers
System requirements: Adobe [Acrobat] Reader required for PDF files.
Mode of access: World Wide Web.
Print version record
There are no comments on this title.