Journal of Agricultural, Biological and Environmental Statistics
2016 - 2026
Current editor(s): Stephen Buckland From: Springer The International Biometric Society American Statistical Association Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing (). Access Statistics for this journal.
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Volume 25, issue 4, 2020
- Hierarchical Modeling of Structural Coefficients for Heterogeneous Networks with an Application to Animal Production Systems pp. 1-22

- K. Chitakasempornkul, G. J. M. Rosa, A. Jager and N. M. Bello
- Guest Editors’ Introduction to the Special Issue on “Recent Advances in Design and Analysis of Experiments and Observational Studies in Agriculture” pp. 453-456

- Hans-Peter Piepho, Robert J. Tempelman and Emlyn R. Williams
- History of the Statistical Design of Agricultural Experiments pp. 457-486

- L. Rob Verdooren
- Substitutes for the Non-existent Square Lattice Designs for 36 Varieties pp. 487-499

- R. A. Bailey, Peter J. Cameron, L. H. Soicher and E. R. Williams
- Multi-level Block Designs for Comparative Experiments pp. 500-522

- Rodney N. Edmondson
- Do Spatial Designs Outperform Classic Experimental Designs? pp. 523-552

- Raegan Hoefler, Pablo González-Barrios, Madhav Bhatta, Jose A. R. Nunes, Ines Berro, Rafael S. Nalin, Alejandra Borges, Eduardo Covarrubias, Luis Diaz-Garcia, Martin Quincke and Lucia Gutierrez
- The Design of Early-Stage Plant Breeding Trials Using Genetic Relatedness pp. 553-578

- Brian R. Cullis, Alison B. Smith, Nicole A. Cocks and David G. Butler
- Optimization of Selective Phenotyping and Population Design for Genomic Prediction pp. 579-600

- Nicolas Heslot and Vitaliy Feoktistov
- Optimal Design of Experiments for Hybrid Nonlinear Models, with Applications to Extended Michaelis–Menten Kinetics pp. 601-616

- Yuanzhi Huang, Steven G. Gilmour, Kalliopi Mylona and Peter Goos
- Pseudo-Likelihood or Quadrature? What We Thought We Knew, What We Think We Know, and What We Are Still Trying to Figure Out pp. 639-656

- Walt Stroup and Elizabeth Claassen
- Modeling Crop Phenology in the US Corn Belt Using Spatially Referenced SMOS Satellite Data pp. 657-675

- Colin Lewis-Beck, Zhengyuan Zhu, Victoria Walker and Brian Hornbuckle
- Linear Variance, P-splines and Neighbour Differences for Spatial Adjustment in Field Trials: How are they Related? pp. 676-698

- Martin P. Boer, Hans-Peter Piepho and Emlyn R. Williams
- Adjusting for Spatial Effects in Genomic Prediction pp. 699-718

- Xiaojun Mao, Somak Dutta, Raymond K. W. Wong and Dan Nettleton
Volume 25, issue 3, 2020
- Robust Nonparametric Regression for Heavy-Tailed Data pp. 277-291

- Ferdos Gorji and Mina Aminghafari
- Estimating Changes in the Observed Relationship Between Humidity and Temperature Using Noncrossing Quantile Smoothing Splines pp. 292-314

- Karen A. McKinnon and Andrew Poppick
- A Distance-based Method for Spatial Prediction in the Presence of Trend pp. 315-338

- Carlos E. Melo, Jorge Mateu and Oscar O. Melo
- Systematic Statistical Analysis of Microbial Data from Dilution Series pp. 339-364

- J. Andrés Christen and Albert E. Parker
- A Bayesian Markov Model with Pólya-Gamma Sampling for Estimating Individual Behavior Transition Probabilities from Accelerometer Classifications pp. 365-382

- Toryn L. J. Schafer, Christopher K. Wikle, Jay A. VonBank, Bart M. Ballard and Mitch D. Weegman
- Vecchia Approximations of Gaussian-Process Predictions pp. 383-414

- Matthias Katzfuss, Joseph Guinness, Wenlong Gong and Daniel Zilber
- A Nonstationary Spatial Covariance Model for Processes Driven by Point Sources pp. 415-430

- Joshua L. Warren
- Spatial Spread Sampling Using Weakly Associated Vectors pp. 431-451

- Raphaël Jauslin and Yves Tillé
Volume 25, issue 2, 2020
- Estimating Reproduction and Survival of Unmarked Juveniles Using Aerial Images and Marked Adults pp. 133-147

- Perry J. Williams, Cody Schroeder and Pat Jackson
- Statistical Development of Animal Density Estimation Using Random Encounter Modelling pp. 148-167

- N. O. A. S. Jourdain, D. J. Cole, M. S. Ridout and J. Marcus Rowcliffe
- Sampling Strategies to Estimate Deer Density by Drive Counts pp. 168-185

- Lorenzo Fattorini, Alberto Meriggi, Enrico Merli and Paolo Varuzza
- Modeling Partially Surveyed Point Process Data: Inferring Spatial Point Intensity of Geomagnetic Anomalies pp. 186-205

- Kenneth A. Flagg, Andrew Hoegh and John J. Borkowski
- Estimation in Complex Sampling Designs Based on Resampling Methods pp. 206-228

- Bardia Panahbehagh
- Projecting Flood-Inducing Precipitation with a Bayesian Analogue Model pp. 229-249

- Gregory P. Bopp, Benjamin A. Shaby, Chris E. Forest and Alfonso Mejía
- Obtaining a Balanced Area Sample for the Bureau of Land Management Rangeland Survey pp. 250-275

- Cindy L. Yu, Jie Li, Michael G. Karl and Todd J. Krueger
- Correction to: Understanding the Stochastic Partial Differential Equation Approach to Smoothing pp. 276-276

- David L. Miller, Richard Glennie and Andrew E. Seaton
Volume 25, issue 1, 2020
- Understanding the Stochastic Partial Differential Equation Approach to Smoothing pp. 1-16

- David L. Miller, Richard Glennie and Andrew E. Seaton
- A Review of Statistics in Palaeoenvironmental Research pp. 17-31

- Maarten Blaauw, J. Andrés Christen and Marco Antonio Aquino-López
- Modelling the Clustering of Extreme Events for Short-Term Risk Assessment pp. 32-53

- Ross Towe, Jonathan Tawn, Emma Eastoe and Rob Lamb
- Distributions of Human Exposure to Ozone During Commuting Hours in Connecticut Using the Cellular Device Network pp. 54-73

- Owais Gilani, Simon Urbanek and Michael J. Kane
- A Multiscale Spatially Varying Coefficient Model for Regional Analysis of Topsoil Geochemistry pp. 74-89

- Keunseo Kim, Hyojoong Kim, Vinnam Kim and Heeyoung Kim
- Efficient Modelling of Presence-Only Species Data via Local Background Sampling pp. 90-111

- Jeffrey Daniel, Julie Horrocks and Gary J. Umphrey
- Right-Censored Mixed Poisson Count Models with Detection Times pp. 112-132

- Wen-Han Hwang, Rachel V. Blakey and Jakub Stoklosa
Volume 24, issue 4, 2019
- Exploration and Inference in Spatial Extremes Using Empirical Basis Functions pp. 555-572

- Samuel A. Morris, Brian J. Reich and Emeric Thibaud
- Estimation of Factor Analytic Mixed Models for the Analysis of Multi-treatment Multi-environment Trial Data pp. 573-588

- Alison B. Smith, Lauren M. Borg, Beverley J. Gogel and Brian R. Cullis
- A Dynamic Individual-Based Model for High-Resolution Ant Interactions pp. 589-609

- Nathan B. Wikle, Ephraim M. Hanks and David P. Hughes
- Comparing Coefficients Across Subpopulations in Gaussian Mixture Regression Models pp. 610-633

- Shin-Fu Tsai
- Spatiotemporal Lagged Models for Variable Rate Irrigation in Agriculture pp. 634-650

- Sierra Pugh, Matthew J. Heaton, Jeff Svedin and Neil Hansen
- The Conditionally Autoregressive Hidden Markov Model (CarHMM): Inferring Behavioural States from Animal Tracking Data Exhibiting Conditional Autocorrelation pp. 651-668

- Ethan Lawler, Kim Whoriskey, William H. Aeberhard, Chris Field and Joanna Mills Flemming
- A Hierarchical Spatiotemporal Statistical Model Motivated by Glaciology pp. 669-692

- Giri Gopalan, Birgir Hrafnkelsson, Christopher K. Wikle, Håvard Rue, Guðfinna Aðalgeirsdóttir, Alexander H. Jarosch and Finnur Pálsson
- Post-stratified Probability-Proportional-to-Size Sampling from Stratified Populations pp. 693-718

- Omer Ozturk
- A Mixture Model Approach for Compositional Data: Inferring Land-Use Influence on Point-Referenced Water Quality Measurements pp. 719-739

- Adrien Ickowicz, Jessica Ford and Keith Hayes
Volume 24, issue 3, 2019
- Guest Editors’ Introduction to the Special Issue on “Climate and the Earth System” pp. 395-397

- Dorit Hammerling and Brian J. Reich
- A Case Study Competition Among Methods for Analyzing Large Spatial Data pp. 398-425

- Matthew J. Heaton, Abhirup Datta, Andrew O. Finley, Reinhard Furrer, Joseph Guinness, Rajarshi Guhaniyogi, Florian Gerber, Robert B. Gramacy, Dorit Hammerling, Matthias Katzfuss, Finn Lindgren, Douglas W. Nychka, Furong Sun and Andrew Zammit-Mangion
- Improved Return Level Estimation via a Weighted Likelihood, Latent Spatial Extremes Model pp. 426-443

- Joshua Hewitt, Miranda J. Fix, Jennifer A. Hoeting and Daniel S. Cooley
- Computer Model Calibration Based on Image Warping Metrics: An Application for Sea Ice Deformation pp. 444-463

- Yawen Guan, Christian Sampson, J. Derek Tucker, Won Chang, Anirban Mondal, Murali Haran and Deborah Sulsky
- A Multivariate Global Spatiotemporal Stochastic Generator for Climate Ensembles pp. 464-483

- Matthew Edwards, Stefano Castruccio and Dorit Hammerling
- New Exploratory Tools for Extremal Dependence: $$\chi $$ χ Networks and Annual Extremal Networks pp. 484-501

- Whitney K. Huang, Daniel S. Cooley, Imme Ebert-Uphoff, Chen Chen and Snigdhansu Chatterjee
- A Parametric Approach to Unmixing Remote Sensing Crop Growth Signatures pp. 502-516

- Colin Lewis-Beck, Zhengyuan Zhu, Anirban Mondal, Joon Jin Song, Jonathan Hobbs, Brian Hornbuckle and Jason Patton
- A Spliced Gamma-Generalized Pareto Model for Short-Term Extreme Wind Speed Probabilistic Forecasting pp. 517-534

- Daniela Castro-Camilo, Raphaël Huser and Håvard Rue
- Efficient Reconstructions of Common Era Climate via Integrated Nested Laplace Approximations pp. 535-554

- Luis A. Barboza, Julien Emile-Geay, Bo Li and Wan He
Volume 24, issue 2, 2019
- Comparison of Deep Neural Networks and Deep Hierarchical Models for Spatio-Temporal Data pp. 175-203

- Christopher K. Wikle
- Efficient Sequential Monte Carlo Algorithms for Integrated Population Models pp. 204-224

- Axel Finke, Ruth King, Alexandros Beskos and Petros Dellaportas
- Multivariate Bioclimatic Indices Modelling: A Coregionalised Approach pp. 225-244

- Xavier Barber, David Conesa, Antonio López-Quílez and Javier Morales
- Spatiotemporal Balanced Sampling Design for Longitudinal Area Surveys pp. 245-263

- Zhonglei Wang and Zhengyuan Zhu
- Computation of Lacunarity from Covariance of Spatial Binary Maps pp. 264-288

- Kassel Hingee, Adrian Baddeley, Peter Caccetta and Gopalan Nair
- Hypothesis Tests for Principal Component Analysis When Variables are Standardized pp. 289-308

- Johannes Forkman, Julie Josse and Hans-Peter Piepho
- Post-processing Multiensemble Temperature and Precipitation Forecasts Through an Exchangeable Normal-Gamma Model and Its Tobit Extension pp. 309-345

- Marie Courbariaux, Pierre Barbillon, Luc Perreault and Éric Parent
- Quasi-beta Longitudinal Regression Model Applied to Water Quality Index Data pp. 346-368

- Ricardo Rasmussen Petterle, Wagner Hugo Bonat and Cassius Tadeu Scarpin
- Modelling Spatio-Temporal Variation in Sparse Rainfall Data Using a Hierarchical Bayesian Regression Model pp. 369-393

- Sabyasachi Mukhopadhyay, Joseph O. Ogutu, Gundula Bartzke, Holly T. Dublin and Hans-Peter Piepho
Volume 24, issue 1, 2019
- Bayesian Dynamic Linear Models for Estimation of Phenological Events from Remote Sensing Data pp. 1-25

- Margaret Johnson, Petruţa C. Caragea, Wendy Meiring, C. Jeganathan and Peter M. Atkinson
- Developing Integer Calibration Weights for Census of Agriculture pp. 26-48

- Luca Sartore, Kelly Toppin, Linda Young and Clifford Spiegelman
- Non-Gaussian Covariate-Dependent Spatial Measurement Error Model for Analyzing Big Spatial Data pp. 49-72

- Vahid Tadayon and Abdolrahman Rasekh
- Extreme Value-Based Methods for Modeling Elk Yearly Movements pp. 73-91

- Dhanushi A. Wijeyakulasuriya, Ephraim M. Hanks, Benjamin A. Shaby and Paul C. Cross
- Insights of Global Sensitivity Analysis in Biological Models with Dependent Parameters pp. 92-111

- Julien Sainte-Marie and Paul-Henry Cournède
- Modeling and Prediction of Multiple Correlated Functional Outcomes pp. 112-129

- Jiguo Cao, Kunlaya Soiaporn, Raymond J. Carroll and David Ruppert
- Emulated Multivariate Global Sensitivity Analysis for Complex Computer Models Applied to Agricultural Simulators pp. 130-153

- Daniel W. Gladish, Ross Darnell, Peter J. Thorburn and Bhakti Haldankar
- Estimation of Population Size When Capture Probability Depends on Individual States pp. 154-172

- Hannah Worthington, Rachel S. McCrea, Ruth King and Richard A. Griffiths
- Review of Bayesian Regression Modelling with INLA by Xiaofeng Wang, Yu Ryan Yue, and Julian J. Faraway pp. 173-174

- Kathryn Morrison
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