Why analyze germination experiments using Generalized Linear Models?
Abstract: We compared the goodness of fit and efficiency of models for germination. Generalized Linear Models (GLMs) were performed with a randomized component corresponding to the percentage of germination for a normal distribution or to the number of germinated seeds for a binomial distribution. L...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Associação Brasileira de Tecnologia de Sementes
|
| Series: | Journal of Seed Science |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372018000300281&lng=en&tlng=en |
| _version_ | 1811203175215005696 |
|---|---|
| author | Fábio Janoni Carvalho Denise Garcia de Santana Lúcio Borges de Araújo |
| author_facet | Fábio Janoni Carvalho Denise Garcia de Santana Lúcio Borges de Araújo |
| author_sort | Fábio Janoni Carvalho |
| collection | DOAJ |
| description | Abstract: We compared the goodness of fit and efficiency of models for germination. Generalized Linear Models (GLMs) were performed with a randomized component corresponding to the percentage of germination for a normal distribution or to the number of germinated seeds for a binomial distribution. Lower levels of Akaikes’s Information Criterion (AIC) and Bayesian Information Criterion (BIC) combined, data adherence to simulated envelopes of normal plots and corrected confidence intervals for the means guaranteed the binomial model a better fit, justifying the importance of GLMs with binomial distribution. Some authors criticize the inappropriate use of analysis of variance (ANOVA) for discrete data such as copaiba oil, but we noted that all model assumptions were met, even though the species had dormant seeds with irregular germination. |
| first_indexed | 2024-04-12T02:51:15Z |
| format | Article |
| id | doaj.art-d1cac045083c42019e93d55f05412268 |
| institution | Directory Open Access Journal |
| issn | 2317-1545 |
| language | English |
| last_indexed | 2024-04-12T02:51:15Z |
| publisher | Associação Brasileira de Tecnologia de Sementes |
| record_format | Article |
| series | Journal of Seed Science |
| spelling | doaj.art-d1cac045083c42019e93d55f054122682022-12-22T03:51:00ZengAssociação Brasileira de Tecnologia de SementesJournal of Seed Science2317-154540328128710.1590/2317-1545v40n3185259S2317-15372018000300281Why analyze germination experiments using Generalized Linear Models?Fábio Janoni CarvalhoDenise Garcia de SantanaLúcio Borges de AraújoAbstract: We compared the goodness of fit and efficiency of models for germination. Generalized Linear Models (GLMs) were performed with a randomized component corresponding to the percentage of germination for a normal distribution or to the number of germinated seeds for a binomial distribution. Lower levels of Akaikes’s Information Criterion (AIC) and Bayesian Information Criterion (BIC) combined, data adherence to simulated envelopes of normal plots and corrected confidence intervals for the means guaranteed the binomial model a better fit, justifying the importance of GLMs with binomial distribution. Some authors criticize the inappropriate use of analysis of variance (ANOVA) for discrete data such as copaiba oil, but we noted that all model assumptions were met, even though the species had dormant seeds with irregular germination.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372018000300281&lng=en&tlng=enAICpressuposições da ANOVACopaifera langsdorffii Desfespécies florestais |
| spellingShingle | Fábio Janoni Carvalho Denise Garcia de Santana Lúcio Borges de Araújo Why analyze germination experiments using Generalized Linear Models? Journal of Seed Science AIC pressuposições da ANOVA Copaifera langsdorffii Desf espécies florestais |
| title | Why analyze germination experiments using Generalized Linear Models? |
| title_full | Why analyze germination experiments using Generalized Linear Models? |
| title_fullStr | Why analyze germination experiments using Generalized Linear Models? |
| title_full_unstemmed | Why analyze germination experiments using Generalized Linear Models? |
| title_short | Why analyze germination experiments using Generalized Linear Models? |
| title_sort | why analyze germination experiments using generalized linear models |
| topic | AIC pressuposições da ANOVA Copaifera langsdorffii Desf espécies florestais |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372018000300281&lng=en&tlng=en |
| work_keys_str_mv | AT fabiojanonicarvalho whyanalyzegerminationexperimentsusinggeneralizedlinearmodels AT denisegarciadesantana whyanalyzegerminationexperimentsusinggeneralizedlinearmodels AT lucioborgesdearaujo whyanalyzegerminationexperimentsusinggeneralizedlinearmodels |