Statistical microcomputing
A critical look
Bibliographic Data
| ID | 11216571 |
|---|---|
| Authors | Gregory J Buhyoff (Virginia Tech, corresponding author), R Bruce Hull (0000-0001-7033-3220, The University of Melbourne), Harald M Rauscher, H Michael Rauscher (North Central College), Rodney C Kirk (Central Michigan University) |
| Year | 1985 |
| Volume | 7 |
| Issue | 1 |
| Pages | 101-114 |
| Publication date | 1985-01-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Leisure Sciences (JOURNAL) |
| Journal identifiers | ISSN: 0149-0400 • E-ISSN: 1521-0588 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/01490408509512110 |
| OpenAlex | W2122317733 |
| Language | EN |
| Citations received | 1 |
| References cited | 7 |
With the introduction of the microcomputer, sophisticated statistical computing can now be done at a person's desk. However, since the microcomputing environment is a subset of the mainframe environment, there exist limitations to statistical microcomputing, such as precision and processing efficiency. However, the microcomputer does offer advantages for statistical computing if the statistical software for microcomputers exhibits certain characteristics. These software characteristics and the advantages and disadvantages of statistical microcomputing are discussed
Computational statistics · Desk · Machine learning · Microcomputer · Operating system · Software engineering · Statistical analysis · Statistical software · Statistics · Telecommunications · Computer Science · Evolutionary Algorithms and Applications · Mathematics · Neural Networks and Applications · Parallel Computing and Optimization Techniques · Software
| Citations per year | 0.06 |
|---|---|
| Citation span | 2008 - 2008 (1) |
| Highly cited | No |