نتایج جستجو برای: ecological risk

تعداد نتایج: 1035306  

2006
David R. Fox

Ecological risk assessment (ERA) is concerned with making decisions about the natural environment under uncertainty. Statistical methodology provides a natural framework for risk characterization and manipulation with many quantitative ERAs relying heavily on Neyman-Pearson hypothesis testing and other frequentist modes of inference. Bayesian statistical methods are becoming increasingly popula...

Journal: :Science 2014
Wilhelm Hofmann Daniel C Wisneski Mark J Brandt Linda J Skitka

The science of morality has drawn heavily on well-controlled but artificial laboratory settings. To study everyday morality, we repeatedly assessed moral or immoral acts and experiences in a large (N = 1252) sample using ecological momentary assessment. Moral experiences were surprisingly frequent and manifold. Liberals and conservatives emphasized somewhat different moral dimensions. Religious...

2012
M. LAFOURCADE

Let us assume we are given a triangle K. Is it possible to compute subrings? We show that L′′ → א0. Is it possible to extend super-linearly canonical, embedded equations? In this setting, the ability to characterize additive, regular, closed domains is essential.

2013
Bud P. Bruegger Moritz-Christian Müller

The paper reports on the experience of the FutureID project in the creation and use of an eID terminology so far. A major part of work has reviewed the state of the art in eID Terminologies. Five existing terminologies have been compared and analyzed in detail to yield unexpected and surprising results. On this basis, FutureID has designed its approach for creation and use of an eID terminology...

2004
Gary King Ori Rosen Martin A. Tanner David G. Steel Eric J. Beh Stephen Voss Jeffrey B. Lewis George G. Judge Douglas J. Miller Wendy K. Tam Cho Philip Hans Franses Kevin M. Quinn Linda J. Young Marcelo Escolar Sebastien Haneuse

Ecological inference : new methodological strategies / edited

Journal: :Biometrics 2008
Donald Hedeker Robin J Mermelstein Hakan Demirtas

For longitudinal data, mixed models include random subject effects to indicate how subjects influence their responses over repeated assessments. The error variance and the variance of the random effects are usually considered to be homogeneous. These variance terms characterize the within-subjects (i.e., error variance) and between-subjects (i.e., random-effects variance) variation in the data....

Journal: :Integrated environmental assessment and management 2010
Valery E Forbes Peter Calow Volker Grimm Takehiko Hayashi Tjalling Jager Annemette Palmqvist Rob Pastorok Dan Salvito Richard Sibly Julann Spromberg John Stark Richard A Stillman

Journal: :Journal of the American Water Resources Association 1996

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