JOURNAL ARTICLE

Extended Complete Block Designs Generated by BIBD

Stanley M. TrailDavid L. Weeks

Year: 1973 Journal:   Biometrics Vol: 29 (3)Pages: 565-565   Publisher: Oxford University Press

Abstract

In many biological and industrial experiments the number of experimental units and their groupings into blocks are such that the experimenter cannot influence them without sacrifice of experimental purpose or material. This paper is directed to those experimental situations in which block size is constant and exceeds the number of treatments; the cost of experimental units is high and this cost is principally associated with blocks as a whole; and a balanced design is requlired. Tests of pertinent hypotheses are developed, easily applied expressions for estimates of treatment effects, and their variances are found. The selection of the most effective designs for particular experimental situations is considered and tables of optimal designs for these are presented.

Keywords:
Selection (genetic algorithm) Block (permutation group theory) Constant (computer programming) Design of experiments Computer science Block design Block size Statistics Mathematics Algorithm Artificial intelligence Combinatorics

Metrics

10
Cited By
1.57
FWCI (Field Weighted Citation Impact)
8
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Optimal Experimental Design Methods
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Manufacturing Process and Optimization
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Advanced Multi-Objective Optimization Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics

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