The following pages link to Environmetrics (Q61750):
Displaying 50 items.
- Bayesian stable isotope mixing models (Q61757) (← links)
- Impact of the mesoscale structure of a bipartite ecological interaction network on its robustness through a probabilistic modeling (Q73316) (← links)
- Testing for local structure in spatiotemporal point pattern data (Q74098) (← links)
- Estimating return levels from serially dependent extremes (Q79196) (← links)
- Performance of partial Mann-Kendall tests for trend detection in the presence of covariates (Q87105) (← links)
- Evaluating water quality using power priors to incorporate historical information (Q89679) (← links)
- Doubly balanced spatial sampling with spreading and restitution of auxiliary totals (Q104226) (← links)
- Hidden Markov random field models applied to color homogeneity evaluation in dyed textile images (Q115986) (← links)
- Remote effects spatial process models for modeling teleconnections (Q140865) (← links)
- Composite likelihood estimation for models of spatial ordinal data and spatial proportional data with zero/one values (Q151616) (← links)
- On modeling positive continuous data with spatiotemporal dependence (Q5975347) (← links)
- Regularized spatial maximum covariance analysis (Q5979822) (← links)
- Modeling 3‐D spatio‐temporal biogeochemical processes with a forest of 1‐D statistical emulators (Q6069045) (← links)
- Estimating the probability of widespread flood events (Q6069046) (← links)
- Bayesian inference in measurement error models for replicated data (Q6069047) (← links)
- Modeling spatiotemporal trends in the productivity of North Pacific Salmon (Q6069048) (← links)
- Characteristic pattern analysis of polybromodiphenyl ethers in Great Lakes sediments: a combination of eigenspace projection and positive matrix factorization analysis (Q6069050) (← links)
- Particle filtering for Gumbel‐distributed daily maxima of methane and nitrous oxide (Q6069051) (← links)
- Impact of misspecifying spatial exposures in a generalized additive modeling framework: with application to the study of the dynamics of Comandra blister rust in British Columbia (Q6069052) (← links)
- Data assimilation for large‐scale spatio‐temporal systems using a location particle smoother (Q6069053) (← links)
- Spatial multinomial regression models for nominal categorical data: a study of land cover in Northern Wisconsin, USA (Q6069056) (← links)
- Space‐time modelling of blue ling for fisheries stock management (Q6069058) (← links)
- A Bayesian multiple imputation method for handling longitudinal pesticide data with values below the limit of detection (Q6069061) (← links)
- Information‐theoretic model‐averaged benchmark dose analysis in environmental risk assessment (Q6069063) (← links)
- Geostatistical analysis of binomial data: generalised linear or transformed Gaussian modelling? (Q6069065) (← links)
- A hierarchical functional data analytic approach for analyzing physiologically based pharmacokinetic models (Q6069066) (← links)
- Spatio–temporal modeling for disease mapping using CAR and B‐spline smoothing (Q6069067) (← links)
- Bayesian nonstationary spatial modeling for very large datasets (Q6069068) (← links)
- Partial ranked set sampling design (Q6069069) (← links)
- On detecting non‐monotonic trends in environmental time series: a fusion of local regression and bootstrap (Q6069070) (← links)
- Detection of malfunctions in sensor networks (Q6069073) (← links)
- A Bayesian multivariate analysis of children's exposure to pesticides (Q6069078) (← links)
- Wind speed modeled as an indexed semi‐Markov process (Q6069079) (← links)
- Bayesian spatial design of optimal deep tube well locations in Matlab, Bangladesh (Q6069082) (← links)
- The case of arsenic contamination in the Sardinian Geopark, Italy, analyzed using symbolic machine learning (Q6069094) (← links)
- A comparison of adaptive sampling designs and binary spatial models : a simulation study using a census of <i>Bromus inermis</i> (Q6069102) (← links)
- Spatial extreme value analysis to project extremes of large‐scale indicators for severe weather (Q6069104) (← links)
- Twenty‐five years of <i>Environmetrics</i> (Q6069105) (← links)
- Constructing valid spatial processes on the sphere using kernel convolutions (Q6069106) (← links)
- Optimal spatial design for air quality measurement surveys (Q6069108) (← links)
- Stationary and nonstationary generalized extreme value modelling of extreme precipitation over a mountainous area under climate change (Q6069110) (← links)
- The log‐power‐normal distribution with application to air pollution (Q6069111) (← links)
- Space‐time areal mixture model: relabeling algorithm and model selection issues (Q6069114) (← links)
- Defining a new parameter for regression models with aggregated data in aquatic science (Q6069116) (← links)
- Small sample inference for gamma parameters: one‐sample and two‐sample problems (Q6069117) (← links)
- A stabilized and versatile spatial prediction method for geostatistical models (Q6069118) (← links)
- Assessing the dependency between the magnitudes of earthquakes and the magnitudes of their aftershocks (Q6069119) (← links)
- Probabilistic forecasts of solar irradiance using stochastic differential equations (Q6069121) (← links)
- Association of pollution with quantiles and expectations of the hospitalization rate of elderly people by respiratory diseases in the city of São Paulo, Brazil (Q6069122) (← links)
- Non‐stationary conditional extremes of northern North Sea storm characteristics (Q6069123) (← links)
