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Environmetrics Silver Anniversary Special Issue

Guttorp, Peter; Piegorsch, Walter W.; Piegorsch, Walter W. - In: Environmetrics 25 (2014) 8, pp. 559-559

Persistent link: https://www.econbiz.de/10011160849

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Guttorp, Peter; Piegorsch, Walter W. - In: Environmetrics 25 (2014) 8, pp. i-i

No abstract is available for this article.

Persistent link: https://www.econbiz.de/10011160841

Composite likelihood estimation for models of spatial ordinal data and spatial proportional data with zero/one values

Guttorp, Peter; Piegorsch, Walter W.; Feng, Xiaoping; … - In: Environmetrics 25 (2014) 8, pp. 571-583

Persistent link: https://www.econbiz.de/10011160842

Dynamic spatial regression models for space‐varying forest stand tables

Guttorp, Peter; Piegorsch, Walter W.; Finley, Andrew O.; … - In: Environmetrics 25 (2014) 8, pp. 596-609

Persistent link: https://www.econbiz.de/10011160844

Assessing fit in Bayesian models for spatial processes

Guttorp, Peter; Piegorsch, Walter W.; Jun, M.; Katzfuss, M. - In: Environmetrics 25 (2014) 8, pp. 584-595

Persistent link: https://www.econbiz.de/10011160845

On the impact of covariate measurement error on spatial regression modelling

Guttorp, Peter; Piegorsch, Walter W.; Huque, Md Hamidul; … - In: Environmetrics 25 (2014) 8, pp. 560-570

Persistent link: https://www.econbiz.de/10011160846

Modeling individual tree growth by fusing diameter tape and increment core data

Guttorp, Peter; Piegorsch, Walter W.; Schliep, Erin M.; … - In: Environmetrics 25 (2014) 8, pp. 610-620

Persistent link: https://www.econbiz.de/10011160851

Statistical modeling and forecasting of fruit crop phenology under climate change

Guttorp, Peter; Piegorsch, Walter W.; Cai, S.; Zidek, … - In: Environmetrics 25 (2014) 8, pp. 621-629

Persistent link: https://www.econbiz.de/10011160852

Benchmark Analysis : Shopping with Proper Confidence

Piegorsch, Walter W.; West, R. Webster - 2006

We discuss the issue of using benchmark doses for quantifying (excess) risk associated with exposure to environmental hazards. The paradigm of low-dose risk estimation in dose-response modeling is used as the primary application scenario. Emphasis is placed on making simultaneous inferences on...

Persistent link: https://www.econbiz.de/10014054805