Heteroscedasticity in Whole Plant Growth Curves Developed from Nonreplicated Data

Autor:	B. E. Mackey, David W. Meek, K. R. Davis, R. B. Hutmacher
Rok vydání:	1991
Předmět:	Plant growth Heteroscedasticity Agronomy Yield (finance) fungi Statistics Crop growth food and beverages Growing season Variance (accounting) Agronomy and Crop Science Mathematics Weighting
Zdroj:	Agronomy Journal. 83:417-424
ISSN:	1435-0645 0002-1962
DOI:	10.2134/agronj1991.00021962008300020031x
Popis:	Agronomic researchers usually neglect heteroscedasticity in crop growth formulae and analysis. When they consider it they are not consistent in the methods they use. This study was conducted to: (i) find a method of testing for heteroscedasticity in nonreplicated whole plant growth data and (ii) determine the best weighting for such crop growth data. We developed seven different crop growth models with yield data collected during the growing season of five different crops (14 sets total, six with replicates). Next we performed tests for heteroscedasticity on model residuals and heterogeneity of variance tests on replicated data (...)
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::abf99d6b8f27130692c7352b992b8797 https://doi.org/10.2134/agronj1991.00021962008300020031x Zobrazit plný text záznamu Plný text