A Web laboratory for software data analysis
β Scribed by Stephen G. Eick; Audris Mockus; Todd L. Graves; Alan F. Karr
- Book ID
- 110389062
- Publisher
- Springer
- Year
- 1998
- Tongue
- English
- Weight
- 576 KB
- Volume
- 1
- Category
- Article
- ISSN
- 1386-145X
No coin nor oath required. For personal study only.
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## Abstract The trend in largeβscale scientific data analysis is to exploit computational, storage and other resources located at multiple sites, and to make those resources accessible to the scientist as if they were a single, coherent system. Web technologies driven by the huge and rapidly growin
All major statistical software has procedures for categorical data analyses. This appendix has emphasis on SAS. For information about other packages (such as S-plus, R, SPSS, and Stata) as well as updated information about SAS, see the web site www.stat.ufl.edu/βΌaa/cda/software.html. For certain an