Designs and Models for Aquatic Resource Surveys

 

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Second Annual DAMARS and STARMAP Conference 2003

Blair--Overview of EMAP-West

Buchanan, Conquest and Courbois--A Cost Analysis of Ranked Set Sampling to Estimate a Population Mean

Carroll--Bayesian Hierarchical Models of Survey Data

Carroll and Olsen--Using Bayesian Spatial Models to Facilitate Water Quality Monitoring

Cooper and Stevens--Converging Classes of Model -and Design-based Spatial Samples

Delorey and Breidt--Distribution Function Estimation in Small Areas for Aquative Resources

Gitelman and Jensen--Causual Modeling for Aquatic Resources

Harrod, Lesser and Munoz--Weighting Adjustments for Estimates of Coho Salmon Abundance When Survey Sites are Missing at Random

Hoeting--An Overview of Several Starmap Projects

Johnson and Hoeting--Statistical Models for Stream Ecology Data: Random Effects Graphical Models

Leecaster and Ritter--Local Enhancement of Global Estimation

Munoz--Models for Non-Response and Missing Data

Munoz, Smith and Lesser--Multiple Imputation for Handling Item Nonresponse in Environmental Data

Munoz, Smith and Lesser--Model-based Approach for Handling the Non-ignorable Missing Data Mechanism in Environmental Surveys

Opsomer, Breidt and Everson-Stewart--Nonparametric Small Area Estimation for the Northeastern Lakes Survey

Smith, Monoz and Stevens--Modeling Counts of Returning Adult Coho in the Oregon Coast

Stevens--Design-based/Model-assisted Survey Methodology for Aquatic Resources

Stevens--Statistical Survey Design and Analysis for Aquatic Resources: Extensions of Traditional Design Perpsectives

Stevens and Olsen--Some Extensions of the Generalized Random Tessellation Stratified (GRTS) Sampling Methodology

Urquhart--Starmap Year 2

 

 

 

 

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Statistics Department


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This project is funded by U.S. EPA Science To Achieve Results (STAR) Program, Grant #CR-829095.