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Jay M Ver Hoef

Showing results (1-10 of 36) with videos related to

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Plos One|March 26, 2013
A comparison of the spatial linear model to Nearest Neighbor (k-NN) methods for forestry applicationsJay M Ver Hoef, Hailemariam Temesgen
Ecology|December 7, 2007
Quasi-Poisson vs. negative binomial regression: how should we model overdispersed count data?Jay M Ver Hoef, Peter L Boveng
Ecology|April 30, 2010
A mixed-model moving-average approach to geostatistical modeling in stream networksErin E Peterson, Jay M Ver Hoef
Biometrics|November 29, 2011
Discretized and aggregated: modeling dive depth of harbor seals from ordered categorical data with temporal autocorrelationMegan D Higgs, Jay M Ver Hoef
Plos One|March 9, 2023
spmodel: Spatial statistical modeling and prediction in <math> </math>Michael Dumelle, Matt Higham, Jay M Ver Hoef
Biometrics|May 23, 2009
A model-based approach for making ecological inference from distance sampling dataDevin S Johnson, Jeffrey L Laake, Jay M Ver Hoef
Ecological Applications : a Publication of the Ecological Society of America|March 31, 2010
Long-term recovery patterns of arctic tundra after winter seismic explorationJanet C Jorgenson, Jay M Ver Hoef, M T Jorgenson
Journal of Wildlife Diseases|November 10, 2006
Geographic pattern of serum antibody prevalence for Brucella spp. in caribou, grizzly bears, and wolves from Alaska, 1975-1998Randall L Zarnke, Jay M Ver Hoef, Robert A DeLong
Plos One|March 24, 2020
Comparing spatial regression to random forests for large environmental data setsEric W Fox, Jay M Ver Hoef, Anthony R Olsen
Journal of Wildlife Diseases|January 15, 2005
Serologic survey for selected disease agents in wolves (Canis lupus) from Alaska and the Yukon Territory, 1984-2000Randall L Zarnke, Jay M Ver Hoef, Robert A DeLong
Pageof 4

Showing results (1-10 of 36) with videos related to

Sort By:
Pageof 4
Plos One|March 26, 2013
A comparison of the spatial linear model to Nearest Neighbor (k-NN) methods for forestry applicationsJay M Ver Hoef, Hailemariam Temesgen
Ecology|December 7, 2007
Quasi-Poisson vs. negative binomial regression: how should we model overdispersed count data?Jay M Ver Hoef, Peter L Boveng
Ecology|April 30, 2010
A mixed-model moving-average approach to geostatistical modeling in stream networksErin E Peterson, Jay M Ver Hoef
Biometrics|November 29, 2011
Discretized and aggregated: modeling dive depth of harbor seals from ordered categorical data with temporal autocorrelationMegan D Higgs, Jay M Ver Hoef
Plos One|March 9, 2023
spmodel: Spatial statistical modeling and prediction in <math> </math>Michael Dumelle, Matt Higham, Jay M Ver Hoef
Biometrics|May 23, 2009
A model-based approach for making ecological inference from distance sampling dataDevin S Johnson, Jeffrey L Laake, Jay M Ver Hoef
Ecological Applications : a Publication of the Ecological Society of America|March 31, 2010
Long-term recovery patterns of arctic tundra after winter seismic explorationJanet C Jorgenson, Jay M Ver Hoef, M T Jorgenson
Journal of Wildlife Diseases|November 10, 2006
Geographic pattern of serum antibody prevalence for Brucella spp. in caribou, grizzly bears, and wolves from Alaska, 1975-1998Randall L Zarnke, Jay M Ver Hoef, Robert A DeLong
Plos One|March 24, 2020
Comparing spatial regression to random forests for large environmental data setsEric W Fox, Jay M Ver Hoef, Anthony R Olsen
Journal of Wildlife Diseases|January 15, 2005
Serologic survey for selected disease agents in wolves (Canis lupus) from Alaska and the Yukon Territory, 1984-2000Randall L Zarnke, Jay M Ver Hoef, Robert A DeLong
Pageof 4