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Completely Randomized Designs
| Content Provider | Semantic Scholar |
|---|---|
| Author | Casella, George |
| Copyright Year | 2008 |
| Abstract | There is really only one disadvantage to the completely randomized design. Unrestricted randomization means that units that receive one treatment may be inherently different from units that receive other treatments. Any variation in units shows up in the experimental error sum of squares. Unless the units are very similar, a completely randomized design will have larger experimental error than other designs. There is one thing that compensates partially for this. For a given number of observations a completely randomized design has the largest degrees of freedom for error. Although the sum of squares error may be inflated by the natural variability in units, this sum of squares will be divided by the largest degrees of freedom possible to produce the mean square error. |
| Starting Page | 43 |
| Ending Page | 90 |
| Page Count | 48 |
| File Format | PDF HTM / HTML |
| DOI | 10.1007/978-0-387-75965-4_2 |
| Alternate Webpage(s) | http://www.stat.ufl.edu/CourseINFO/STA6167/Analysis%20of%20Variance--One-way%20Classifications%20of%20Completely%20Randomized%20Design.pdf |
| Alternate Webpage(s) | http://www.public.iastate.edu/~wrstephe/stat402/CRD.pdf |
| Alternate Webpage(s) | https://doi.org/10.1007/978-0-387-75965-4_2 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
