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November 2016, Volume 27, Issue 7
- 380-395 Variogram calculations for random fields on regular lattices using quadrature methods
by Somak Dutta & Debashis Mondal - 396-408 A spatial‐dependent model for climate emulation
by Jingyu Bao & David J. McInerney & Michael L. Stein - 409-422 A Bayesian multinomial regression model for palaeoclimate reconstruction with time uncertainty
by Liisa Ilvonen & Lasse Holmström & Heikki Seppä & Siim Veski - 423-424 Discussion of “A Bayesian multinomial regression model for paleoclimate reconstruction with time uncertainty,” by Ilvonen et al
by Peter F. Craigmile - 425-427 Discussion of Illvonen et al. Bayesian palaeoclimate reconstruction with time uncertainty
by John Haslett - 428-430 Discussion on temperature reconstruction with sediment core data in Ilvonen et al
by Bo Li & Luis Barboza & Martin Tingley & Frederi Viens - 431-433 A Bayesian multinomial regression model for paleoclimate reconstruction with time uncertainty
by Andrew C. Parnell - 434-438 Rejoinder
by Liisa Ilvonen & Lasse Holmstöm & Heikki Seppä & Siim Veski - 439-450 Bayesian inference for nonstationary marginal extremes
by D. Randell & K. Turnbull & K. Ewans & P. Jonathan
09 2016, Volume 27, Issue 6
- 322-333 Hierarchical animal movement models for population‐level inference
by Mevin B. Hooten & Frances E. Buderman & Brian M. Brost & Ephraim M. Hanks & Jacob S. Ivan - 334-344 Modeling the spatial behavior of the meteorological drivers' effects on extreme ozone
by Brook T. Russell & Daniel S. Cooley & William C. Porter & Colette L. Heald - 345-354 Multivariate density estimation for interval‐censored data with application to a forest fire modelling problem
by W. J. Braun & J. E. Stafford - 355-369 Time series clustering using the total variation distance with applications in oceanography
by Pedro C. Alvarez‐Esteban & Carolina Euán & Joaquín Ortega - 370-376 Environmental data analysis based on the gamma distribution: compliance assessment using tolerance limits and exceedance fractions
by Ionut Bebu & Thomas Mathew
08 2016, Volume 27, Issue 5
- 256-266 Assessing annual trends, monthly fluctuations and between‐station relationship of sulphate deposition in the Turkey Lakes Watershed
by Rong Zhu & Abdel H. El‐Shaarawi & Xingde Duan & Zilin Wang & Renjun Ma - 267-279 Comparison between spatio‐temporal random processes and application to climate model data
by Bo Li & Xianyang Zhang & Jason E. Smerdon - 280-292 Censored and shifted gamma distribution based EMOS model for probabilistic quantitative precipitation forecasting
by Sándor Baran & Dóra Nemoda - 293-305 Optimal dynamic spatial sampling
by Martha Bohorquez & Ramon Giraldo & Jorge Mateu - 306-317 Functional measure of ozone exposure to model short‐term health effects
by Maeregu Woldeyes Arisido
06 2016, Volume 27, Issue 4
- 198-211 Testing for seasonal means in time series data
by Gang Liu & Qin Shao & Robert Lund & Jonathan Woody - 212-224 A general procedure for selecting a class of fully symmetric space‐time covariance functions
by S. De Iaco & M. Palma & D. Posa - 225-238 Remote sensing estimates and measures of uncertainty for forest variables at different aggregation levels
by F. Mauro & I. Molina & A. García‐Abril & R. Valbuena & E. Ayuga‐Téllez - 239-251 Spatial modelling framework for the characterisation of rainfall extremes at different durations and under climate change
by Eric A. Lehmann & Aloke Phatak & Alec Stephenson & Rex Lau
05 2016, Volume 27, Issue 3
- 134-146 Horvitz–Thompson whale abundance estimation adjusting for uncertain recapture, temporal availability variation, and intermittent effort
by Geof H. Givens & Stacy L. Edmondson & J. Craig George & Robert Suydam & Russ A. Charif & Ashakur Rahaman & Dean Hawthorne & Barbara Tudor & Robert A. DeLong & Christopher W. Clark - 147-157 Forecasting SO 2 pollution incidents by means of quantile curves based on additive models
by I. Martínez‐Silva & J. Roca‐Pardiñas & C. Ordóñez - 158-168 Estimation of extreme quantiles conditioning on multivariate critical layers
by E. Di Bernardino & F. Palacios‐Rodríguez - 169-181 Analysis of air quality time series of Hong Kong with graphical modeling
by Fei Hu & Zudi Lu & Heung Wong & Tsz P. Yuen - 182-193 New control chart for monitoring and classification of environmental data
by Christian Paroissin & Laura Penalva & Agnès Pétrau & Ghislain Verdier
03 2016, Volume 27, Issue 2
- 70-82 A model‐based approach for analog spatio‐temporal dynamic forecasting
by Patrick L. McDermott & Christopher K. Wikle - 83-89 Practical likelihood analysis for spatial generalized linear mixed models
by Wagner Hugo Bonat & Paulo Justiniano Ribeiro Jr - 90-102 Identifying trends in the spatial errors of a regional climate model via clustering
by V. J. Berrocal - 103-113 Adaptive cluster sampling for negatively correlated data
by Stefano A. Gattone & Esha Mohamed & Arthur L. Dryver & Ralf T. Münnich - 103-115 Regional extreme value index estimation and a test of tail homogeneity
by Paul Kinsvater & Roland Fried & Jona Lilienthal - 116-130 Mixture EMOS model for calibrating ensemble forecasts of wind speed
by S. Baran & S. Lerch
02 2016, Volume 27, Issue 1
- 4-14 Credible regions for exceedance sets of geostatistical data
by Joshua P. French & Jennifer A. Hoeting - 15-26 Bivariate functional data clustering: grouping streams based on a varying coefficient model of the stream water and air temperature relationship
by H. Li & X. Deng & C. A. Dolloff & E. P. Smith - 27-41 Bayesian prediction of monthly precipitation on a fine grid using covariates based on a regional meteorological model
by A. N. Sigurdarson & B. Hrafnkelsson - 42-54 Reconstruction of late Holocene climate based on tree growth and mechanistic hierarchical models
by John Tipton & Mevin Hooten & Neil Pederson & Martin Tingley & Daniel Bishop - 55-65 Time series modeling of paleoclimate data
by James E. H. Davidson & David B. Stephenson & Alemtsehai A. Turasie
December 2015, Volume 26, Issue 8
- 515-525 A data fusion approach for spatial analysis of speciated PM 2.5 across time
by Colin W. Rundel & Erin M. Schliep & Alan E. Gelfand & David M. Holland - 526-533 Estimating the transition of individuals between life stages
by T. D. Drezner & Z. Drezner & N. Balakrishnan - 534-544 A hidden Markov model for the analysis of cylindrical time series
by Francesco Lagona & Marco Picone & Antonello Maruotti - 545-556 Assessing the significance of the correlation between the components of a bivariate Gaussian random field
by Moreno Bevilacqua & Ronny Vallejos & Daira Velandia - 557-570 Incorporating spatial and operational constraints in the sampling designs for forest inventories
by Audrey‐Anne Vallée & Bastien Ferland‐Raymond & Louis‐Paul Rivest & Yves Tillé - 571-583 Likelihood ratio tests for comparing several gamma distributions
by Kalimuthu Krishnamoorthy & Meesook Lee & Wang Xiao
November 2015, Volume 26, Issue 7
- 451-462 Parameter inference and model selection in deterministic and stochastic dynamical models via approximate Bayesian computation: modeling a wildlife epidemic
by Libo Sun & Chihoon Lee & Jennifer A. Hoeting - 463-476 A criterion for environmental assessment using Birnbaum–Saunders attribute control charts
by Victor Leiva & Carolina Marchant & Fabrizio Ruggeri & Helton Saulo - 477-487 Controlling for unmeasured confounding and spatial misalignment in long‐term air pollution and health studies
by Duncan Lee & Christophe Sarran - 488-501 Estimating trend from seasonal data: is daily, monthly or annual data best?
by Christopher S. Withers & Saralees Nadarajah - 502-513 Nonparametric species richness estimation under convexity constraint
by Cécile Durot & Sylvie Huet & François Koladjo & Stéphane Robin
09 2015, Volume 26, Issue 6
- 383-392 A shared neighbor conditional autoregressive model for small area spatial data
by A.B. Lawson & C. Rotejanaprasert & P. Moraga & J. Choi - 393-405 Regression calibration with instrumental variables for longitudinal models with interaction terms, and application to air pollution studies
by M. Strand & S. Sillau & G. K. Grunwald & N. Rabinovitch - 406-417 Maximum likelihood estimation of the multivariate hidden dynamic geostatistical model with application to air quality in Apulia, Italy
by Crescenza Calculli & Alessandro Fassò & Francesco Finazzi & Alessio Pollice & Annarita Turnone - 418-430 Environmental odor perception: testing regional differences on heterogeneity with application to odor perceptions in the area of Este (Italy)
by R. Arboretti Giancristofaro & S. Bonnini & L. Corain & D. Vidotto - 431-441 Efficient and automatic methods for flexible regression on spatiotemporal data, with applications to groundwater monitoring
by L. Evers & D. A. Molinari & A. W. Bowman & W. R. Jones & M. J. Spence - 442-450 Distributions of return values for ocean wave characteristics in the South China Sea using directional–seasonal extreme value analysis
by David Randell & Graham Feld & Kevin Ewans & Philip Jonathan
08 2015, Volume 26, Issue 5
- 327-338 Validation and comparison of geostatistical and spline models for spatial stream networks
by A. M. Rushworth & E. E. Peterson & J. M. Ver Hoef & A. W. Bowman - 339-353 Computationally efficient spatial modeling of annual maximum 24‐h precipitation on a fine grid
by Óli P. Geirsson & Birgir Hrafnkelsson & Daniel Simpson - 354-362 Spatio‐temporal functional data analysis for wireless sensor networks data
by D.‐J. Lee & Z. Zhu & P. Toscas - 363-372 Quantile benchmark dose estimation for continuous endpoints
by Matthew W. Wheeler & Kan Shao & A. John Bailer - 373-382 Bayesian benchmark dose analysis
by Q. Fang & W. W. Piegorsch & K. Y. Barnes
06 2015, Volume 26, Issue 4
- 243-254 Restricted spatial regression in practice: geostatistical models, confounding, and robustness under model misspecification
by Ephraim M. Hanks & Erin M. Schliep & Mevin B. Hooten & Jennifer A. Hoeting - 255-267 Impact of preferential sampling on exposure prediction and health effect inference in the context of air pollution epidemiology
by A. Lee & A. Szpiro & S.Y. Kim & L. Sheppard - 268-283 Exploratory ensemble designs for environmental models using k‐extended Latin Hypercubes
by D. Williamson - 284-297 Regression‐based covariance functions for nonstationary spatial modeling
by Mark D. Risser & Catherine A. Calder - 298-311 Bias correction in estimation of public health risk attributable to short‐term air pollution exposure
by Wesley S. Burr & Glen Takahara & Hwashin H. Shin - 312-325 Local generalised method of moments: an application to point process‐based rainfall models
by Jo M. Kaczmarska & Valerie S. Isham & Paul Northrop
05 2015, Volume 26, Issue 3
- 159-177 Multivariate spatio‐temporal modelling for assessing Antarctica's present‐day contribution to sea‐level rise
by Andrew Zammit‐Mangion & Jonathan Rougier & Nana Schön & Finn Lindgren & Jonathan Bamber - 178-191 Detection of outliers in functional time series
by P. Raña & G. Aneiros & J. M. Vilar - 192-201 Evaluating the impacts of climate change on diurnal wind power cycles using multiple regional climate models
by Scott D. Goddard & Marc G. Genton & Amanda S. Hering & Stephan R. Sain - 202-215 The estimation of diversity indexes by using stratified allocations of plots, points or transects
by L. Barabesi & L. Fattorini & M. Marcheselli & C. Pisani & L. Pratelli - 216-228 Design‐based strategies for sampling spatial units from regular grids with applications to forest surveys, land use, and land cover estimation
by Lorenzo Fattorini & Piermaria Corona & Gherardo Chirici & Maria Chiara Pagliarella - 229-242 Standard error estimation for mixed flood distributions with historic maxima
by John M. Grego & Philip A. Yates & Kaiwen Mai
03 2015, Volume 26, Issue 2
- 67-76 Ratio estimators of the population mean with missing values using ranked set sampling
by A. I. Al‐Omari & C. N. Bouza - 77-88 Discrimination of tomato plants under different irrigation regimes: analysis of hyperspectral sensor data
by M. Rinaldi & A. Castrignanò & D. De Benedetto & D. Sollitto & S. Ruggieri & P. Garofalo & F. Santoro & B. Figorito & S. Gualano & R. Tamborrino - 89-106 Bayesian hierarchical modeling of extreme hourly precipitation in Norway
by Anita Verpe Dyrrdal & Alex Lenkoski & Thordis L. Thorarinsdottir & Frode Stordal - 107-119 Grain‐size distribution in open channel flow by mixing length approach
by D. Pal & K. Ghoshal - 120-132 Joint probabilistic forecasting of wind speed and temperature using Bayesian model averaging
by S. Baran & A. Möller - 133-144 Mid‐twenty‐first‐century projected trends in North American heating and cooling degree days
by R. J. Erhardt - 145-158 Bayesian hidden Markov modelling using circular‐linear general projected normal distribution
by Gianluca Mastrantonio & Antonello Maruotti & Giovanna Jona‐Lasinio
02 2015, Volume 26, Issue 1
- 1-16 Weighted likelihood recapture estimation of detection probabilities from an ice‐based survey of bowhead whales
by Geof H. Givens & Stacy L. Edmondson & J. Craig George & Barbara Tudor & Robert A. DeLong & Robert Suydam - 17-28 An autoregressive model to describe fishing vessel movement and activity
by P. Gloaguen & S. Mahévas & E. Rivot & M. Woillez & J. Guitton & Y. Vermard & M. P. Etienne - 29-38 Gaussian linear state‐space model for wind fields in the North‐East Atlantic
by J. Bessac & P. Ailliot & V. Monbet - 39-51 Mixture of inhomogeneous matrix models for species‐rich ecosystems
by Frédéric Mortier & Dakis‐Yaoba Ouédraogo & Florian Claeys & Mahlet G. Tadesse & Guillaume Cornu & Fidèle Baya & Fabrice Benedet & Vincent Freycon & Sylvie Gourlet‐Fleury & Nicolas Picard - 52-65 Probabilistic methods of analysis for the time series Moran scatterplot quadrant signature
by D. Rohde & J. Corcoran & T. R. McGee & R. Wickes & M. Townsley
December 2014, Volume 25, Issue 8
- 1-1 Issue Information
by Peter Guttorp & Walter W. Piegorsch - 559-559 Environmetrics Silver Anniversary Special Issue
by Peter Guttorp & Walter W. Piegorsch & Walter W. Piegorsch & Peter Guttorp - 560-570 On the impact of covariate measurement error on spatial regression modelling
by Peter Guttorp & Walter W. Piegorsch & Md Hamidul Huque & Howard D. Bondell & Louise Ryan - 571-583 Composite likelihood estimation for models of spatial ordinal data and spatial proportional data with zero/one values
by Peter Guttorp & Walter W. Piegorsch & Xiaoping Feng & Jun Zhu & Pei‐Sheng Lin & Michelle M. Steen‐Adams - 584-595 Assessing fit in Bayesian models for spatial processes
by Peter Guttorp & Walter W. Piegorsch & M. Jun & M. Katzfuss & J. Hu & V. E. Johnson - 596-609 Dynamic spatial regression models for space‐varying forest stand tables
by Peter Guttorp & Walter W. Piegorsch & Andrew O. Finley & Sudipto Banerjee & Aaron R. Weiskittel & Chad Babcock & Bruce D. Cook - 610-620 Modeling individual tree growth by fusing diameter tape and increment core data
by Peter Guttorp & Walter W. Piegorsch & Erin M. Schliep & Tracy Qi Dong & Alan E. Gelfand & Fan Li - 621-629 Statistical modeling and forecasting of fruit crop phenology under climate change
by Peter Guttorp & Walter W. Piegorsch & S. Cai & James V. Zidek & Nathaniel K. Newlands & Denise Neilsen - 630-637 A spatial capture‐recapture model for territorial species
by Peter Guttorp & Walter W. Piegorsch & B. J. Reich & B. Gardner
November 2014, Volume 25, Issue 7
- 483-497 A Bayesian spatial factor analysis approach for combining climate model ensembles
by E.S. Neeley & W.F. Christensen & S.R. Sain - 498-512 Confidence regions for the level curves of spatial data
by Joshua P. French - 513-527 A Bayesian multivariate receptor model for estimating source contributions to particulate matter pollution using national databases
by Amber J. Hackstadt & Roger D. Peng - 528-547 HAC robust trend comparisons among climate series with possible level shifts
by Ross R. McKitrick & Timothy J. Vogelsang - 548-556 Utility and application of SEM in delineating cause–effect relationship between ambient pollutant and fetal birth outcome
by A. K. Mbah & A. Paothong & R. E. Wilson & H. M. Salihu - 557-557 Erratum: Using covariates to model dependence in nonstationary, high frequency meteorological processes
by Andrew Poppick & Michael L. Stein
09 2014, Volume 25, Issue 6
- 1-1 Issue Information
by Haiganoush K. Preisler - 363-364 Special Issue on Wildland Fires
by Haiganoush K. Preisler & Haiganoush K. Preisler - 365-383 Combining ungrouped and grouped wildfire data to estimate fire risk
by Haiganoush K. Preisler & I. Hernandez‐Magallanes - 384-396 Wildfire risk estimation in the Mediterranean area
by Haiganoush K. Preisler & A. A. Ager & H. K. Preisler & B. Arca & D. Spano & M. Salis - 397-405 County‐level analysis of the impact of temperature and population increases on California wildfire data
by Haiganoush K. Preisler & M. Baltar & J. E. Keeley & F. P. Schoenberg - 406-416 Lightning‐caused forest fire risk in Northwestern Ontario, Canada, is increasing and associated with anomalies in fire weather
by Haiganoush K. Preisler & Douglas G. Woolford & C.B. Dean & David L. Martell & Jiguo Cao & B.M. Wotton - 417-430 Visualization tools for assessing the Markov property: sojourn times in the forest Fire Weather Index in Ontario
by Haiganoush K. Preisler & Alisha Albert‐Green & W. John Braun & David L. Martell & Douglas G. Woolford - 431-442 Dionysus: a stochastic fire growth scenario generator
by Haiganoush K. Preisler & Lengyi Han & W. John Braun - 443-453 An exploratory data analysis of the temperature fluctuations in a spreading fire
by Haiganoush K. Preisler & David R. Brillinger & Mark A. Finney - 454-471 Scenarios for future wildfire risk in California: links between changing demography, land use, climate, and wildfire
by Haiganoush K. Preisler & Benjamin P. Bryant & Anthony L. Westerling - 472-481 Burning issues: statistical analyses of global fire data to inform assessments of environmental change
by Haiganoush K. Preisler & M. A. Krawchuk & M. A. Moritz
08 2014, Volume 25, Issue 5
- 293-305 Using covariates to model dependence in nonstationary, high‐frequency meteorological processes
by Andrew Poppick & Michael L. Stein - 306-323 Spatial sampling on streams: principles for inference on aquatic networks
by Nicholas A. Som & Pascal Monestiez & Jay M. Ver Hoef & Dale L. Zimmerman & Erin E. Peterson - 324-340 A Bayesian hierarchical model for forecasting intermountain snow dynamics
by James B. Odei & Jürgen Symanzik & Mevin B. Hooten - 341-350 Spatiotemporal modeling of odds of disease
by Mahmoud Torabi - 351-360 Probability weighted indices for improved ecosystem report card scoring
by David R. Fox - 361-362 The log‐power‐normal distribution is the exponentiated lognormal distribution
by S. Nadarajah & E. Afuecheta & S. Chan
06 2014, Volume 25, Issue 4
- 1-1 Issue Information
by Petra Kuhnert - 201-202 Physical‐statistical modelling
by Petra Kuhnert & Petra Kuhnert - 203-213 A statistical overview and perspectives on data assimilation for marine biogeochemical models
by Petra Kuhnert & Michael Dowd & Emlyn Jones & John Parslow - 214-229 Assimilating catchment processes with monitoring data to estimate sediment loads to the Great Barrier Reef
by Petra Kuhnert & D.E. Pagendam & P.M. Kuhnert & W.B. Leeds & C.K. Wikle & R. Bartley & E.E. Peterson - 230-244 Physically motivated scale interaction parameterization in reduced rank quadratic nonlinear dynamic spatio‐temporal models
by Petra Kuhnert & D.W. Gladish & C.K. Wikle - 245-264 Resolving the Antarctic contribution to sea‐level rise: a hierarchical modelling framework
by Petra Kuhnert & Andrew Zammit‐Mangion & Jonathan Rougier & Jonathan Bamber & Nana Schön - 265-278 Rethinking soil carbon modelling: a stochastic approach to quantify uncertainties
by Petra Kuhnert & D. Clifford & D. Pagendam & J. Baldock & N. Cressie & R. Farquharson & M. Farrell & L. Macdonald & L. Murray - 279-291 Assessing exceedance of ozone standards: a space‐time downscaler for fourth highest ozone concentrations
by Petra Kuhnert & V.J. Berrocal & A.E. Gelfand & D.M. Holland
05 2014, Volume 25, Issue 3
- 143-151 Assessing the dependency between the magnitudes of earthquakes and the magnitudes of their aftershocks
by Kevin Nichols & Frederic Paik Schoenberg - 152-164 Probabilistic forecasts of solar irradiance using stochastic differential equations
by E. B. Iversen & J. M. Morales & J. K. Møller & H. Madsen - 165-171 Association of pollution with quantiles and expectations of the hospitalization rate of elderly people by respiratory diseases in the city of São Paulo, Brazil
by A. P. Alencar & B. R. Santos - 172-188 Non‐stationary conditional extremes of northern North Sea storm characteristics
by P. Jonathan & K. Ewans & D. Randell - 189-199 A hidden renewal model for monitoring aquatic systems biosensors
by R. Azaïs & R. Coudret & G. Durrieu
03 2014, Volume 25, Issue 2
- 69-83 Covariate‐based cepstral parameterizations for time‐varying spatial error covariances
by D.W. Gladish & C.K. Wikle & S.H. Holan - 84-96 Space‐time areal mixture model: relabeling algorithm and model selection issues
by M. M. Hossain & A. B. Lawson & B. Cai & J. Choi & J. Liu & R. S. Kirby - 97-106 Defining a new parameter for regression models with aggregated data in aquatic science
by Peter H. Dimberg - 107-126 Small sample inference for gamma parameters: one‐sample and two‐sample problems
by K. Krishnamoorthy & Luis León‐Novelo - 127-141 A stabilized and versatile spatial prediction method for geostatistical models
by Chun‐Shu Chen & Hong‐Ding Yang & Yang Li
November 2013, Volume 24, Issue 7
- 433-448 Reversible jump MCMC for inference in a deterministic individual–based model of tree growth for studying forest dynamics
by D. Gemoets & Jarrett Barber & Kiona Ogle - 449-460 A comparison of the Mantel test with a generalised distance covariance test
by Marek Omelka & Šárka Hudecová - 461-475 The environmental Kuznets curve: functional form, time‐varying heterogeneity and outliers in a panel setting
by Inmaculada Martinez‐Zarzoso & Antonello Maruotti - 476-488 Reducing the uncertainty of wildlife population abundance: model‐based versus design‐based estimates
by Edwige Bellier & Pascal Monestiez & Grégoire Certain & Joel Chadœuf & Vincent Bretagnolle - 489-499 Modelling biological regions from multi‐species and environmental data
by S.D. Foster & G.H. Givens & G.J. Dornan & P.K. Dunstan & R. Darnell
09 2013, Volume 24, Issue 6
- 367-376 Wind speed modeled as an indexed semi‐Markov process
by Guglielmo D'Amico & Filippo Petroni & Flavio Prattico - 377-386 Bayesian spatial design of optimal deep tube well locations in Matlab, Bangladesh
by Joshua L. Warren & Carolina Perez‐Heydrich & Mohammad Yunus - 387-399 Bayesian stable isotope mixing models
by Andrew C. Parnell & Donald L. Phillips & Stuart Bearhop & Brice X. Semmens & Eric J. Ward & Jonathan W. Moore & Andrew L. Jackson & Jonathan Grey & David J. Kelly & Richard Inger - 400-406 The case of arsenic contamination in the Sardinian Geopark, Italy, analyzed using symbolic machine learning
by Germana Manca & Guido Cervone - 407-417 A comparison of adaptive sampling designs and binary spatial models : a simulation study using a census of Bromus inermis
by Kathryn M. Irvine & Jamie Thornton & Vickie M. Backus & Matthew G. Hohmann & Erik A. Lehnhoff & Bruce D. Maxwell & Kurt Michels & Lisa J. Rew - 418-432 Spatial extreme value analysis to project extremes of large‐scale indicators for severe weather
by Eric Gilleland & Barbara G. Brown & Caspar M. Ammann
08 2013, Volume 24, Issue 5
- 1-1 Issue Information
by Linda J. Young - 279-280 In Memory of George Casella
by Linda J. Young & Linda J. Young & Walter W. Piegorsch & Peter Guttorp - 281-288 Bayesian inference about odds ratio structure in ordinal contingency tables
by Linda J. Young & M. Kateri & A. Agresti - 289-297 Uncertainty due to low‐dose extrapolation: modified BMD methodology for epidemiological data
by Linda J. Young & Melissa Whitney & Louise Ryan - 298-305 Statistical modeling of changes in relative sea level in Maine during the Holocene Era
by Linda J. Young & N. S. Altman & G. Balco & C. Crainiceanu & W. R. Gehrels & J. Qiu & J. Staudenmayer & P. Sullivan - 306-316 When are two pieces better than one: fitting and testing OLS and RMA regressions
by Linda J. Young & Jane Friedman & Andrew J. Bohonak & Richard A. Levine - 317-331 Analyzing first flowering event data using survival models with space and time‐varying covariates
by Linda J. Young & Maria A. Terres & Alan E. Gelfand & Jenica M. Allen & John A. Silander - 332-341 Diagnostics to assess toxicokinetic–toxicodynamic models with interval‐censored data
by Linda J. Young & X. Xu & P. M. Dixon & Y. Zhao & M. C. Newman - 342-356 A consistent on‐line Bayesian procedure for detecting change points
by Linda J. Young & Elías Moreno & F. Javier Girón & Antonio García–Ferrer - 357-366 A Bayesian multivariate analysis of children's exposure to pesticides
by Linda J. Young & N. Cressie & M. Morara & B. Buxton & N. McMillan & W. Strauss & N. Wilson
06 2013, Volume 24, Issue 4
- 209-226 On detecting non‐monotonic trends in environmental time series: a fusion of local regression and bootstrap
by Vyacheslav Lyubchich & Yulia R. Gel & Abdel El‐Shaarawi - 227-236 Detection of malfunctions in sensor networks
by Maryam Alavi–Shoshtari & David E. Williams & Jennifer A. Salmond & Jari P. Kaipio - 237-247 Estimating aggregated nutrient fluxes in four Finnish rivers via Gaussian state space models
by Jouni Helske & Jukka Nyblom & Petri Ekholm & Kristian Meissner - 248-259 Breaking the curse of dimensionality in quadratic discriminant analysis models with a novel variant of a Bayes classifier enhances automated taxa identification of freshwater macroinvertebrates
by J. Ärje & S. Kärkkäinen & T. Turpeinen & K. Meissner - 260-268 Anthropogenic global warming hypothesis: testing its robustness by Granger causality analysis
by Umberto Triacca & Alessandro Attanasio & Antonello Pasini - 269-277 Weighted principal component analysis for compositional data: application example for the water chemistry of the Arno river (Tuscany, central Italy)
by M. Gallo & A. Buccianti
05 2013, Volume 24, Issue 3
- 143-157 Information‐theoretic model‐averaged benchmark dose analysis in environmental risk assessment
by Walter W. Piegorsch & Lingling An & Alissa A. Wickens & R. Webster West & Edsel A. Peña & Wensong Wu - 158-171 Geostatistical analysis of binomial data: generalised linear or transformed Gaussian modelling?
by Michelle C. Stanton & Peter J. Diggle - 172-179 A hierarchical functional data analytic approach for analyzing physiologically based pharmacokinetic models
by Siddhartha Mandal & Pranab K. Sen & Shyamal D. Peddada - 180-188 Spatio–temporal modeling for disease mapping using CAR and B‐spline smoothing
by Mahmoud Torabi - 189-200 Bayesian nonstationary spatial modeling for very large datasets
by Matthias Katzfuss - 201-207 Partial ranked set sampling design
by Abdul Haq & Jennifer Brown & Elena Moltchanova & Amer Ibrahim Al‐Omari
03 2013, Volume 24, Issue 2
- 63-80 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
by C. X. Feng & C. B. Dean & Richard Reich - 81-97 Data assimilation for large‐scale spatio‐temporal systems using a location particle smoother
by Jonathan Briggs & Michael Dowd & Renate Meyer - 98-108 Spatial multinomial regression models for nominal categorical data: a study of land cover in Northern Wisconsin, USA
by Chongyang Jin & Jun Zhu & Michelle M. Steen‐Adams & Stephan R. Sain & Ronald E. Gangnon - 109-119 Space‐time modelling of blue ling for fisheries stock management
by Nicole H. Augustin & Verena M. Trenkel & Simon N. Wood & Pascal Lorance - 120-131 Doubly balanced spatial sampling with spreading and restitution of auxiliary totals
by Anton Grafström & Yves Tillé - 132-142 A Bayesian multiple imputation method for handling longitudinal pesticide data with values below the limit of detection
by Haiying Chen & Sara A. Quandt & Joseph G. Grzywacz & Thomas A. Arcury
02 2013, Volume 24, Issue 1
- 1-12 Modeling 3‐D spatio‐temporal biogeochemical processes with a forest of 1‐D statistical emulators
by W. B. Leeds & C. K. Wikle & J. Fiechter & J. Brown & R. F. Milliff - 13-21 Estimating the probability of widespread flood events
by Caroline Keef & Jonathan A. Tawn & Rob Lamb - 22-30 Bayesian inference in measurement error models for replicated data
by Mário Castro & Heleno Bolfarine & M. Galea - 31-40 Modeling spatiotemporal trends in the productivity of North Pacific Salmon
by Oksana Chkrebtii & Jiguo Cao - 41-50 Characteristic pattern analysis of polybromodiphenyl ethers in Great Lakes sediments: a combination of eigenspace projection and positive matrix factorization analysis
by Yonghong Zou & Erik R. Christensen & An Li - 51-62 Particle filtering for Gumbel‐distributed daily maxima of methane and nitrous oxide
by Gwladys Toulemonde & Armelle Guillou & Philippe Naveau
December 2012, Volume 23, Issue 8
- 1-1 Issue Information
by Lelys Bravo Guenni & Susan J. Simmons - 637-637 Modern quantitative methods for environmental risk assessment
by Lelys Bravo Guenni & Susan J. Simmons & Lelys Bravo Guenni & Susan J. Simmons - 638-648 Bayesian spatial extreme value analysis to assess the changing risk of concurrent high temperatures across large portions of European cropland
by Lelys Bravo Guenni & Susan J. Simmons & Benjamin A. Shaby & Brian J. Reich - 649-662 Spatial modeling for risk assessment of extreme values from environmental time series: a Bayesian nonparametric approach
by Lelys Bravo Guenni & Susan J. Simmons & Athanasios Kottas & Ziwei Wang & Abel Rodríguez - 663-672 Risk management against extremes in a changing environment: a risk‐layer approach using copulas
by Lelys Bravo Guenni & Susan J. Simmons & Stefan Hochrainer‐Stigler & Georg Pflug - 673-684 Bayesian spatial–temporal model for cardiac congenital anomalies and ambient air pollution risk assessment
by Lelys Bravo Guenni & Susan J. Simmons & Joshua Warren & Montserrat Fuentes & Amy Herring & Peter Langlois - 685-695 Functional clustering of water quality data in Scotland
by Lelys Bravo Guenni & Susan J. Simmons & R.A. Haggarty & C.A. Miller & E.M. Scott & F. Wyllie & M. Smith - 696-705 Estimating brood‐specific reproductive inhibition potency in aquatic toxicity testing
by Lelys Bravo Guenni & Susan J. Simmons & Jing Zhang & A. John Bailer & James T. Oris - 706-716 The impact of model uncertainty on benchmark dose estimation
by Lelys Bravo Guenni & Susan J. Simmons & R. Webster West & Walter W. Piegorsch & Edsel A. Peña & Lingling An & Wensong Wu & Alissa A. Wickens & Hui Xiong & Wenhai Chen - 717-728 Nonparametric estimation of benchmark doses in environmental risk assessment
by Lelys Bravo Guenni & Susan J. Simmons & Walter W. Piegorsch & Hui Xiong & Rabi N. Bhattacharya & Lizhen Lin - 729-737 Ecological Risk‐O‐Meter: a risk assessor and manager software tool for better decision making in ecosystems
by Lelys Bravo Guenni & Susan J. Simmons & Mehmet Sahinoglu & Susan J. Simmons & Lawrence B. Cahoon & Scott Morton
November 2012, Volume 23, Issue 7
- 565-578 On the effect of preferential sampling in spatial prediction
by Alan E. Gelfand & Sujit K. Sahu & David M. Holland - 579-594 Forecast verification for extreme value distributions with an application to probabilistic peak wind prediction
by Petra Friederichs & Thordis L. Thorarinsdottir - 595-605 Fast inversion of a flexible regression model for multivariate pollen counts data
by Michael Salter‐Townshend & John Haslett - 606-616 Evaluation of space–time point process models using super‐thinning
by Robert Alan Clements & Frederic Paik Schoenberg & Alejandro Veen - 617-622 An index for climate change: a multivariate time series approach
by Francisco Andrés Rincón - 623-635 Descriptive and predictive evaluation of high resolution Markov chain precipitation models
by H. J. D. Sørup & H. Madsen & K. Arnbjerg‐Nielsen - 636-636 An erratum on comments on Aboueissa and Stoline (2004, 2006) and Aboueissa (2009)
by Igor Kovasov
09 2012, Volume 23, Issue 6
- 493-508 Joint analysis of multivariate spatial count and zero‐heavy count outcomes using common spatial factor models
by C.X. Feng & C.B. Dean - 509-521 A region‐based hierarchical model for extreme rainfall over the UK, incorporating spatial dependence and temporal trend
by Jonathan Atyeo & David Walshaw