Environmental and Ecological Statistics publishes papers on practical applications of statistics and related quantitative methods to environmental science addressing contemporary issues.Emphasis is on applied mathematical statistics, statistical methodology, and data interpretation and improvement for future use, with a view to advance statistics for environment, ecology and environmental health, and to advance environmental theory and practice using valid statistics.Besides clarity of exposition, a single most important criterion for publication is the appropriateness of the statistical method to the particular environmental problem. The Journal covers all aspects of the collection, analysis, presentation and interpretation of environmental data for research, policy and regulation. The Journal is cross-disciplinary within the context of contemporary environmental issues and the associated statistical tools, concepts and methods. The Journal broadly covers theory and methods, case studies and applications, environmental change and statistical ecology, environmental health statistics and stochastics, and related areas. Special features include invited discussion papers; research communications; technical notes and consultation corner; mini-reviews; letters to the Editor; news, views and announcements; hardware and software reviews; data management etc.
Drivers of carbon dioxide emissions: an empirical investigation using hierarchical and non-hierarchical clustering methods
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00433-4
Jointly estimating survival and mortality: integrating recapture and recovery data from complex multiple predator systems
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00421-8
A new probability model with application to heavy-tailed hydrological data
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00422-7
Fuzzy comprehensive evaluation of the disaster reduction ability of an ethnic minority accumulation area based on an analytic hierarchy process
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00426-3
Robust ridge regression for estimating the effects of correlated gene expressions on phenotypic traits
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00434-3
Quantifying the uncertainty of variance partitioning estimates of ecological datasets
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00431-6
A history matching approach for calibrating hydrological models
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00420-9
Model-averaged confidence distributions
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00432-5
The role of tourism growth in generating additional energy consumption: empirical evidence from major tourist destinations
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00429-0
Modelling relationships between socioeconomy, landscape and water flows in Mediterranean agroecosystems: a case study in Adra catchment (Spain) using Bayesian networks
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00419-2
Bayesian-based survival analysis: inferring time to death in host-pathogen interactions
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00418-3
A Support Vector Machine approach for predicting progress toward environmental sustainability from information and communication technology and human development
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00427-2
Estimation and inference for upper hinge regression models
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00428-1
Spatiotemporal calibration of atmospheric nitrogen dioxide concentration estimates from an air quality model for Connecticut
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00430-7
Using a non-homogeneous Poisson model with spatial anisotropy and change-points to study air pollution data
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00423-6
To reduce or not to reduce: a study on spatio-temporal surveillance
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00425-4
Investigating the association between indoor radon concentrations and some potential influencing factors through a profile regression approach
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00424-5
Modeling Aedes aegypti trap data with unobserved components
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00417-4