Journal of Agricultural, Biological and Environmental Statistics

2016 - 2018

Current editor(s): Stephen Buckland

From:
Springer
The International Biometric Society
American Statistical Association
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2018, volume 23, issue 2

Combining Survey and Non-survey Data for Improved Sub-area Prediction Using a Multi-level Model pp. 175-189

Jae Kwang Kim, Zhonglei Wang, Zhengyuan Zhu and Nathan B. Cruze

Using a Bayesian Hierarchical Linear Mixing Model to Estimate Botanical Mixtures pp. 190-207

Napoleón Vargas Jurado, Kent M. Eskridge, Stephen D. Kachman and Ronald M. Lewis

Mixed-Effects Estimation in Dynamic Models of Plant Growth for the Assessment of Inter-individual Variability pp. 208-232

Charlotte Baey, Amélie Mathieu, Alexandra Jullien, Samis Trevezas and Paul-Henry Cournède

Longitudinal Concordance Correlation Function Based on Variance Components: An Application in Fruit Color Analysis pp. 233-254

Thiago de Paula Oliveira, John Hinde and Silvio Sandoval Zocchi

Weighted Estimation of AMMI and GGE Models pp. 255-275

S. Hadasch, J. Forkman, W. A. Malik and H. P. Piepho

Spatial Variability in Slash Linear Modeling with Finite Second Moment pp. 276-296

R. S. Fagundes, M. A. Uribe-Opazo, M. Galea and L. P. C. Guedes

Optimal Estimation Versus MCMC for $$\mathrm{{CO}}_{2}$$ CO 2 Retrievals pp. 297-316

Jenny Brynjarsdottir, Jonathan Hobbs, Amy Braverman and Lukas Mandrake

2018, volume 23, issue 1

A Test of Positive Association for Detecting Heterogeneity in Capture for Capture–Recapture Data pp. 1-19

Anita Jeyam, Rachel S. McCrea, Thomas Bregnballe, Morten Frederiksen and Roger Pradel

Models for Jointly Estimating Abundances of Two Unmarked Site-Associated Species Subject to Imperfect Detection pp. 20-38

Rafael A. Moral, John Hinde, Clarice G. B. Demétrio, Carolina Reigada and Wesley A. C. Godoy

Emulation Engines: Choice and Quantification of Uncertainty for Complex Hydrological Models pp. 39-62

Daniel W. Gladish, Daniel E. Pagendam, Luk J. M. Peeters, Petra M. Kuhnert and Jai Vaze

A New Probability Model for Hydrologic Events: Properties and Applications pp. 63-82

Tassaddaq Hussain, Hassan S. Bakouch and Zafar Iqbal

An Evaluation of Error Variance Bias in Spatial Designs pp. 83-91

Emlyn R. Williams and Hans-Peter Piepho

Interaction: Fisher’s Optimal Scores Revisited pp. 92-112

John C. Gower, Sugnet Gardner-Lubbe and Niel J. Le Roux

A Score Test for Testing a Marginalized Zero-Inflated Poisson Regression Model Against a Marginalized Zero-Inflated Negative Binomial Regression Model pp. 113-128

Gul Inan, John Preisser and Kalyan Das

Semiparametric Kernel-Based Regression for Evaluating Interaction Between Pathway Effect and Covariate pp. 129-152

Zaili Fang, Inyoung Kim and Jeesun Jung

A Bayesian Generalized Linear Model for Crimean–Congo Hemorrhagic Fever Incidents pp. 153-170

Duchwan Ryu, Devrim Bilgili, Önder Ergönül, Faming Liang and Nader Ebrahimi

Statistics for Ecologists Using R and Excel, 2nd Edition pp. 171-173

Emily Silverman

2017, volume 22, issue 4

A New Approach to Modelling the Relationship Between Annual Population Abundance Indices and Weather Data pp. 427-445

D. A. Elston, M. J. Brewer, B. Martay, A. Johnston, P. A. Henrys, J. R. Bell, R. Harrington, D. Monteith, T. M. Brereton, K. L. Boughey and J. W. Pearce-Higgins

Modelling the Covariance Structure in Marginal Multivariate Count Models: Hunting in Bioko Island pp. 446-464

W. H. Bonat, J. Olivero, M. Grande-Vega, M. A. Farfán and J. E. Fa

Assessing the Impacts of Time-to-Detection Distribution Assumptions on Detection Probability Estimation pp. 465-480

Adam Martin-Schwarze, Jarad Niemi and Philip Dixon

Bayesian Calibration of Blue Crab (Callinectes sapidus) Abundance Indices Based on Probability Surveys pp. 481-497

Dong Liang, Genevieve Nesslage, Michael Wilberg and Thomas Miller

Generalized Linear Latent Variable Models for Multivariate Count and Biomass Data in Ecology pp. 498-522

Jenni Niku, David I. Warton, Francis K. C. Hui and Sara Taskinen

The 2012 Census of Agriculture: A Capture–Recapture Analysis pp. 523-539

Linda J. Young, Andrea C. Lamas and Denise A. Abreu

Local Influence for Spatially Correlated Binomial Data: An Application to the Spodoptera frugiperda Infestation in Corn pp. 540-561

D. T. Nava, F. De Bastiani, M. A. Uribe-Opazo, O. Nicolis and M. Galea

The Allometric Quarter-Power Scaling Model and Its Applicability to Grand Fir and Eucalyptus Trees pp. 562-584

Hannah Capes, Robert J. Maillardet, Thomas G. Baker, Christopher J. Weston, Don McGuire, Ian C. Dumbrell and Andrew P. Robinson

Risk Assessment for Toxicity Experiments with Discrete and Continuous Outcomes: A Bayesian Nonparametric Approach pp. 585-601

Kassandra Fronczyk and Athanasios Kottas

Bias Correction in Estimating Proportions by Pooled Testing pp. 602-614

Graham Hepworth and Brad J. Biggerstaff

The Odd Log-Logistic Student t Distribution: Theory and Applications pp. 615-639

Altemir Silva Braga, Gauss M. Cordeiro, Edwin M. M. Ortega and Giovana O. Silva

Analysis of Multiple Binary Responses Using a Threshold Model pp. 640-651

Ling-Yun Chang, Sajjad Toghiani, Ashley Ling, El H. Hay, Sammy E. Aggrey and Romdhane Rekaya

2017, volume 22, issue 3

Biometrics, JABES and the International Biometric Society pp. 221-223

Elizabeth Thompson, Marie Davidian and Stephen Buckland

Guest Editor’s Introduction to the Special Issue on “Animal Movement Modeling” pp. 224-231

Mevin B. Hooten, Ruth King and Roland Langrock

Multi-scale Modeling of Animal Movement and General Behavior Data Using Hidden Markov Models with Hierarchical Structures pp. 232-248

Vianey Leos-Barajas, Eric J. Gangloff, Timo Adam, Roland Langrock, Floris M. Beest, Jacob Nabe-Nielsen and Juan M. Morales

Incorporating Telemetry Error into Hidden Markov Models of Animal Movement Using Multiple Imputation pp. 249-269

Brett T. McClintock

Selecting the Number of States in Hidden Markov Models: Pragmatic Solutions Illustrated Using Animal Movement pp. 270-293

Jennifer Pohle, Roland Langrock, Floris M. Beest and Niels Martin Schmidt

Hierarchical Nonlinear Spatio-temporal Agent-Based Models for Collective Animal Movement pp. 294-312

Patrick L. McDermott, Christopher K. Wikle and Joshua Millspaugh

Modeling Collective Animal Movement Through Interactions in Behavioral States pp. 313-334

James C. Russell, Ephraim M. Hanks, Andreas P. Modlmeier and David P. Hughes

Imputation Approaches for Animal Movement Modeling pp. 335-352

Henry Scharf, Mevin B. Hooten and Devin S. Johnson

Reflected Stochastic Differential Equation Models for Constrained Animal Movement pp. 353-372

Ephraim M. Hanks, Devin S. Johnson and Mevin B. Hooten

Bayesian Inference for Multistate ‘Step and Turn’ Animal Movement in Continuous Time pp. 373-392

A. Parton and P. G. Blackwell

A General Approach to Model Movement in (Highly) Fragmented Patch Networks pp. 393-412

Juan Manuel Morales, Agustina Virgilio, María Delgado and Otso Ovaskainen

Erratum to: On Estimation and Selection of Autologistic Regression Models via Penalized Pseudolikelihood pp. 413-419

Rao Fu, Andrew L. Thurman, Tingjin Chu, Michelle M. Steen-adams and Jun Zhu

José-María Montero, Gema Fernández-Avilés, and Jorge Mateu: Spatial and Spatio-Temporal Geostatistical Modeling and Kriging pp. 420-422

Christopher K. Wikle

Animal Movement: Statistical Models for Telemetry Data by Hooten, Johnson, McClintock and Morales pp. 423-425

Jason Matthiopoulos

2017, volume 22, issue 2

Bayesian Methods for Estimating Animal Abundance at Large Spatial Scales Using Data from Multiple Sources pp. 111-139

Soumen Dey, Mohan Delampady, Ravishankar Parameshwaran, N. Samba Kumar, Arjun Srivathsa and K. Ullas Karanth

Bringing It All Together: Multi-species Integrated Population Modelling of a Breeding Community pp. 140-160

José J. Lahoz-Monfort, Michael P. Harris, Sarah Wanless, Stephen N. Freeman and Byron J. T. Morgan

A Statistical Method to Construct Confidence Sets on Carrion Insect Age from Development Stage pp. 161-171

Lynn R. LaMotte, Amanda L. Roe, Jeffrey D. Wells and Leon G. Higley

Application of Whole-Genome Prediction Methods for Genome-Wide Association Studies: A Bayesian Approach pp. 172-193

Rohan Fernando, Ali Toosi, Anna Wolc, Dorian Garrick and Jack Dekkers

Water flow probabilistic predictions based on a rainfall–runoff simulator: a two-regime model with variable selection pp. 194-219

Marie Courbariaux, Pierre Barbillon and Éric Parent

2017, volume 22, issue 1

Residual Variance–Covariance Modelling in Analysis of Multivariate Data from Variety Selection Trials pp. 1-22

Joanne De Faveri, Arūnas P. Verbyla, Brian R. Cullis, Wayne S. Pitchford and Robin Thompson

Smooth additive mixed models for predicting aboveground biomass pp. 23-41

Mariola Sánchez-González, María Durbán, Dae-Jin Lee, Isabel Cañellas and Hortensia Sixto

The Bayesian Group Lasso for Confounded Spatial Data pp. 42-59

Trevor J. Hefley, Mevin B. Hooten, Ephraim M. Hanks, Robin E. Russell and Daniel P. Walsh

Functional Mapping of Multiple Dynamic Traits pp. 60-75

Jiguo Cao, Liangliang Wang, Zhongwen Huang, Junyi Gai and Rongling Wu

Comparison of Models Analyzing a Small Number of Observed Meningitis Cases in Navrongo, Ghana pp. 76-104

Y. Hagar, M. Hayden, C. Wiedinmyer and V. Dukic

“Extending R”, by John M. Chambers pp. 105-106

Edzer Pebesma

EnvStats: An R Package for Environmental Statistics by Steven P. Millard pp. 107-108

Peter F. Craigmile

Hidden Markov Models for Time Series: An Introduction Using R, 2nd Edition, by Walter Zucchini, Iain L. MacDonald, and Roland Langrock pp. 109-110

Leo Polansky