Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 32-40 |
| Seitenumfang | 9 |
| Fachzeitschrift | Communications in Biometry and Crop Science |
| Jahrgang | 2 |
| Ausgabenummer | 1 |
| Publikationsstatus | Veröffentlicht - 2007 |
Abstract
A common statistical issue in seed-quality control is to prove that the proportion of individuals showing an unwanted trait is less than a small threshold. Group testing can be used to reduce costs of assay and upper confidence limits for the proportion of detrimental individuals can be used for either estimation or hypothesis testing. A crucial problem of group testing is the appropriate choice of group size in dependence of the number of groups, an assumed true proportion, and the threshold. This paper reports on experimental design to achieve high power for tests or low confidence interval width. Two agricultural applications are presented for which experimental design is discussed.
ASJC Scopus Sachgebiete
- Entscheidungswissenschaften (insg.)
- Allgemeine Entscheidungswissenschaften
- Agrar- und Biowissenschaften (insg.)
- Agronomie und Nutzpflanzenwissenschaften
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in: Communications in Biometry and Crop Science, Jahrgang 2, Nr. 1, 2007, S. 32-40.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Experimental design for one-sided confidence intervals or hypothesis tests in binomial group testing
AU - Schaarschmidt, Frank
PY - 2007
Y1 - 2007
N2 - A common statistical issue in seed-quality control is to prove that the proportion of individuals showing an unwanted trait is less than a small threshold. Group testing can be used to reduce costs of assay and upper confidence limits for the proportion of detrimental individuals can be used for either estimation or hypothesis testing. A crucial problem of group testing is the appropriate choice of group size in dependence of the number of groups, an assumed true proportion, and the threshold. This paper reports on experimental design to achieve high power for tests or low confidence interval width. Two agricultural applications are presented for which experimental design is discussed.
AB - A common statistical issue in seed-quality control is to prove that the proportion of individuals showing an unwanted trait is less than a small threshold. Group testing can be used to reduce costs of assay and upper confidence limits for the proportion of detrimental individuals can be used for either estimation or hypothesis testing. A crucial problem of group testing is the appropriate choice of group size in dependence of the number of groups, an assumed true proportion, and the threshold. This paper reports on experimental design to achieve high power for tests or low confidence interval width. Two agricultural applications are presented for which experimental design is discussed.
KW - Confidence limit
KW - Experimental design
KW - Group testing
KW - Power
KW - Seed testing
UR - http://www.scopus.com/inward/record.url?scp=34250312535&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:34250312535
VL - 2
SP - 32
EP - 40
JO - Communications in Biometry and Crop Science
JF - Communications in Biometry and Crop Science
SN - 1896-0782
IS - 1
ER -