Markets and Hierarchies: Analysis and Antitrust Implications.
Journal Article Markets and Hierarchies: Analysis and Antitrust Implications Get access Markets and Hierarchies: Analysis and Antitrust Implications. By O. E. WILLIAMSON. (Londo...
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Data Analysis Using Regression and Multilevel/Hierarchical Models
Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analys...
Eigenfaces for Recognition
Abstract We have developed a near-real-time computer system that can locate and track a subject's head, and then recognize the person by comparing characteristics of the face to...
2013 ESH/ESC Guidelines for the management of arterial hypertension
The ESH/ESC Guidelines represent the views of the ESH and ESC and were arrived at after careful consideration of the available evidence at the time they were written.Health prof...
The Sequence of the Human Genome
A 2.91-billion base pair (bp) consensus sequence of the euchromatic portion of the human genome was generated by the whole-genome shotgun sequencing method. The 14.8-billion bp ...
GENERAL CIRCULATION EXPERIMENTS WITH THE PRIMITIVE EQUATIONS
An extended period numerical integration of a baroclinic primitive equation model has been made for the simulation and the study of the dynamics of the atmosphere's general circ...
Limited-dependent and qualitative variables in econometrics
This book presents the econometric analysis of single-equation and simultaneous-equation models in which the jointly dependent variables can be continuous, categorical, or trunc...
Observation of Gravitational Waves from a Binary Black Hole Merger
On September 14, 2015 at 09:50:45 UTC the two detectors of the Laser Interferometer Gravitational-Wave Observatory simultaneously observed a transient gravitational-wave signal....
The Theory of the Growth of the Firm
Abstract So far as I know, no economist has as yet attempted a general theory of the growth of firms. This seems to me so very strange that I am sure anyone attempting it should...
Sequence to Sequence Learning with Neural Networks
Deep Neural Networks (DNNs) are powerful models that have achieved excellent performance on difficult learning tasks. Although DNNs work well whenever large labeled training set...
Teleporting an unknown quantum state via dual classical and Einstein-Podolsky-Rosen channels
An unknown quantum state \ensuremath{\Vert}\ensuremath{\varphi}〉 can be disassembled into, then later reconstructed from, purely classical information and purely nonclassical Ei...