1,721,314 research outputs found
Ocean mixing: oceanography at a watershed
No full textOcean mixing exerts a fundamental influence across many elements of the Earth system, including circulation, planetary-scale climate and the ecosystem. Despite wide recognition of this importance today, research into ocean mixing only started developing rapidly in the 1960s; prior to then, concepts of the ocean were based on coarse observational snapshots that did not resolve the fine scales on which mixing operates. Subsequently, profound and rapid advances were made in the observation and simulation of ocean mixing, and in understanding its key dynamics and impacts. This introductory chapter presents a short overview of some of the critical breakthroughs that have led to today's state-of-the-art concerning ocean mixing, and presents a view on what the current major challenges are. The chapters in this book, each contributed by leading practitioners in the field of ocean mixing research, provide key details and insight into different aspects of mixing, and inform, complement and extend this view
Annotated SAS Output (ASO)
Full text link98 pages, 1 article*Annotated SAS Output (ASO)* (Meredith, Michael P.) 98 page
Initial Parameter Estimates for Nonlinear Regression Models
Full text link22 pages, 1 article*Initial Parameter Estimates for Nonlinear Regression Models* (Meredith, Michael P.) 22 page
Annotated SAS Output (ASO)
Full text link92 pages, 1 article*Annotated SAS Output (ASO)* (Meredith, Michael P.; Lansky, David M.; Cady, Foster B.) 92 page
Some Useful Reparameterizations: Linear to Nonlinear Models
Full text link18 pages, 1 article*Some Useful Reparameterizations: Linear to Nonlinear Models* (Meredith, Michael P.; Rubin, Gail) 18 page
Results and Remarks on Analyzing Biological Repeated Measures
Full text link24 pages, 1 article*Results and Remarks on Analyzing Biological Repeated Measures* (Meredith, Michael P.) 24 page
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
A Simple Mathematical Model for the Simulation of IR Backgrounds
Full text link11 pages, 1 article*A Simple Mathematical Model for the Simulation of IR Backgrounds* (Strenzwilk, Denis F.; Meredith, Michael P.; Federer, Walter T.) 11 page
The Critical Nutrient Deficiency Level and Economic Optimum Nutrient Level for the Mitscherlich Growth Curve
Full text link10 pages, 1 article*The Critical Nutrient Deficiency Level and Economic Optimum Nutrient Level for the Mitscherlich Growth Curve* (Meredith, Michael P.) 10 page
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