It is well known that randomization, replication and local control play important role in experimental design. Neighbor designs provide a tool for local control in situation where experimental units are influenced by neighboring units. A neighbor design is called one-dimensional if neighbor effects are controlled in only one way, i.e., either in row or in column direction. In two-dimensional design, neighbor effects are controlled in both ways (rows and columns). In this paper the concept of neighbor designs, its types and importance is discussed with examples. Models of Neighbor effects for different situations are also discussed.
| Published in | American Journal of Theoretical and Applied Statistics (Volume 3, Issue 4) |
| DOI | 10.11648/j.ajtas.20140304.15 |
| Page(s) | 107-110 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2024. Published by Science Publishing Group |
One-Dimensional Neighbor Designs, Two-Dimensional Neighbor Designs, Circular Design
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APA Style
Naqvi Hamad, Najeeb Haider. (2014). Neighbor Designs: A New Approach of Local Control. American Journal of Theoretical and Applied Statistics, 3(4), 107-110. https://doi.org/10.11648/j.ajtas.20140304.15
ACS Style
Naqvi Hamad; Najeeb Haider. Neighbor Designs: A New Approach of Local Control. Am. J. Theor. Appl. Stat. 2014, 3(4), 107-110. doi: 10.11648/j.ajtas.20140304.15
AMA Style
Naqvi Hamad, Najeeb Haider. Neighbor Designs: A New Approach of Local Control. Am J Theor Appl Stat. 2014;3(4):107-110. doi: 10.11648/j.ajtas.20140304.15
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Download@article{10.11648/j.ajtas.20140304.15,
author = {Naqvi Hamad and Najeeb Haider},
title = {Neighbor Designs: A New Approach of Local Control},
journal = {American Journal of Theoretical and Applied Statistics},
volume = {3},
number = {4},
pages = {107-110},
doi = {10.11648/j.ajtas.20140304.15},
url = {https://doi.org/10.11648/j.ajtas.20140304.15},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20140304.15},
abstract = {It is well known that randomization, replication and local control play important role in experimental design. Neighbor designs provide a tool for local control in situation where experimental units are influenced by neighboring units. A neighbor design is called one-dimensional if neighbor effects are controlled in only one way, i.e., either in row or in column direction. In two-dimensional design, neighbor effects are controlled in both ways (rows and columns). In this paper the concept of neighbor designs, its types and importance is discussed with examples. Models of Neighbor effects for different situations are also discussed.},
year = {2014}
}
TY - JOUR T1 - Neighbor Designs: A New Approach of Local Control AU - Naqvi Hamad AU - Najeeb Haider Y1 - 2014/08/10 PY - 2014 N1 - https://doi.org/10.11648/j.ajtas.20140304.15 DO - 10.11648/j.ajtas.20140304.15 T2 - American Journal of Theoretical and Applied Statistics JF - American Journal of Theoretical and Applied Statistics JO - American Journal of Theoretical and Applied Statistics SP - 107 EP - 110 PB - Science Publishing Group SN - 2326-9006 UR - https://doi.org/10.11648/j.ajtas.20140304.15 AB - It is well known that randomization, replication and local control play important role in experimental design. Neighbor designs provide a tool for local control in situation where experimental units are influenced by neighboring units. A neighbor design is called one-dimensional if neighbor effects are controlled in only one way, i.e., either in row or in column direction. In two-dimensional design, neighbor effects are controlled in both ways (rows and columns). In this paper the concept of neighbor designs, its types and importance is discussed with examples. Models of Neighbor effects for different situations are also discussed. VL - 3 IS - 4 ER -
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