The Annals of Statistics

Analysis of Nonorthogonal $n$-Way Classifications

U. B. Paik and W. T. Federer

Full-text: Open access

Abstract

Four problems associated with the use of Zelen's calculus of factorials in the statistical analysis of nonorthogonal $n$-way classification data are solved. These are for the situations for which (i) some effect parameters are equated to zero, (ii) some combinations (subclasses) contain no observations, (iii) expected values of mean squares under fixed, mixed, and random models are desired, and (iv) expected values of single degree of freedom sums of squares are wanted. A unified approach to these problems was developed. Relationships to previous work, to blocked experiments, to fractional replication, and to "messy data" situations are discussed. The various analyses are first described for a nonorthogonal two-way classification and then generalized to an $n$-way classification in the final section of the paper. Numerical examples are presented to illustrate the various procedures.

Article information

Source
Ann. Statist., Volume 2, Number 5 (1974), 1000-1021.

Dates
First available in Project Euclid: 12 April 2007

Permanent link to this document
https://projecteuclid.org/euclid.aos/1176342820

Digital Object Identifier
doi:10.1214/aos/1176342820

Mathematical Reviews number (MathSciNet)
MR359207

Zentralblatt MATH identifier
0289.62052

JSTOR
links.jstor.org

Keywords
60 Unequal numbers analyses calculus of factorials fractional replication variance component estimation weighted squares of means procedure random mixed, and fixed models

Citation

Paik, U. B.; Federer, W. T. Analysis of Nonorthogonal $n$-Way Classifications. Ann. Statist. 2 (1974), no. 5, 1000--1021. doi:10.1214/aos/1176342820. https://projecteuclid.org/euclid.aos/1176342820


Export citation