首页/数据集/Appendix C. GLMM results from analyses of floral visits to the six focal species.

Appendix C. GLMM results from analyses of floral visits to the six focal species.

NIAID Data Ecosystem2026-03-09 收录

数据链接：

https://figshare.com/articles/dataset/Appendix_C_GLMM_results_from_analyses_of_floral_visits_to_the_six_focal_species_/3529610 数据链接链接失效反馈

官方服务：

资源简介：

GLMM results from analyses of floral visits to the six focal species.

应用场景：

创建时间：

2016-08-05

牙科流行病学

统计建模

In dental epidemiology, the decayed (D), missing (M), and filled (F) teeth or surfaces index (DFM index) is a frequently used measure. The DMF index is characterized by a strongly positive skewed dist

DataCite Commons2020-09-03 更新80

Data from: Mismatch in the distribution of floral ecotypes and pollinators: insights into the evolution of sexually deceptive orchids

兰花进化

传粉生态学

Plants are predicted to show floral adaptation to geographic variation in the most effective pollinator, potentially leading to reproductive isolation and genetic divergence. Many sexually deceptive o

DataONE2015-01-22 更新60

Combining Bayesian method and Kalman smoother for detection additive outlier patches in autoregressive time series

时序异常检测

统计建模

This article proposes a development of detecting patches of additive outliers in autoregressive time series models. The procedure improves the existing detection methods via Gibbs sampling. We combine

Taylor & Francis Group2019-07-15 更新10

MOESM2 of Predictive performance of the estimating equations of renal function in Sri Lankan subjects

医学研究

统计建模

Additional file 2. The data set of the study (SPSS Format).

DataCite Commons2020-08-26 更新70

Multivariate analysis of variation of the effects of pollinators, floral manipulation treatments and years on pollinator visitation rate and duration.

传粉生态学

统计分析

d.f., degrees of freedom; MS, mean squares. *P<0.05, **P<0.01, ***P<0.001.

NIAID Data Ecosystem40