JSM Activity #250

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Activity ID:  250
Title
* Ecological Statistics
Date / Time / Room Sponsor Type
08/13/2002
2:00 PM - 3:50 PM
Room: H-Nassau Suite A 		Section on Statistics & the Environment* Contributed
Organizer: n/a
Chair: Scott R. Evans, Harvard School of Public Health
Discussant:  
Description

This session includes statistical methods for ecological applications ranging from forestry to fisheries to wildlife. Statistical methods include Bayesian methods, dynamic models, finite mixtures, multinomial models, capture-recapture, and canonical correspondence analysis.
  300793  By:  Catherine A. Calder 2:05 PM 08/13/2002
Assessing Sources of Uncertainty in a Dynamic Forest Model

  300887  By:  Ronald E. McRoberts 2:20 PM 08/13/2002
Assessing the Effects of Forest Fragmentation Using Satellite Imagery and Inventory Data

  301943  By:  Joel H. Reynolds 2:35 PM 08/13/2002
Testing Component Contribution in Finite Discrete Mixtures: Population Detection in Mixed Stock Fisheries

  301798  By:  Steven  Rein 2:50 PM 08/13/2002
Estimating Percentage Cover via a Multinomial Logit Model

  301533  By:  Keying  Ye 3:05 PM 08/13/2002
Missing Covariate Treatment in Ecological Data

  300898  By:  Devin S. Johnson 3:20 PM 08/13/2002
Autoregressive Models for Capture-recapture Data: A Bayesian Approach

  301007  By:  Eric P. Smith 3:35 PM 08/13/2002
Using Bayesian Model Averaging with Canonical Correspondence Analysis

JSM 2002

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Revised March 2002