Schultz, Jr., E.F. (1955) Rules of Thumb for Determining Expectations of Mean Squares in Analysis of Variance. Biometrics, 11 (2). pp. 123-135.
![[img]](http://eprints.icrisat.ac.in/style/images/fileicons/application_pdf.png) |
PDF
- Published Version
Restricted to ICRISAT researchers only |
Abstract
Exact procedures for determining the expected values of sample mean squares in terms of population parameters are adequately described in a number of places in statistical literature (1, 3, 7)t. For simple designs with few classifications the processes can be gone through quickly, and with practice, the expectations of such mean squares can be written by inspection. However, when a design involves several classifications, and particularly when the classifications are a mixture of random and fixed variates, the processes become complex and tedious.
| Item Type: | Article |
|---|---|
| Additional Information: | SNNigam Collection |
| Author Affiliation: | AlabamaPa olytechnicI nstitute and Institute of Statistics, North Carolina State College |
| Subjects: | Statistics and Experimentation > Statistial Methods |
| Divisions: | General |
| Depositing User: | Mr Siva Shankar |
| Date Deposited: | 26 Mar 2013 05:08 |
| Last Modified: | 01 Apr 2013 09:59 |
| Official URL: | http://www.jstor.org/stable/3001791 |
| URI: | http://eprints.icrisat.ac.in/id/eprint/10022 |
Actions (login required)
 |
View Item |
