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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Reflecting on reflexive thematic analysis
Since initially writing on thematic analysis in 2006, the popularity of the method we outlined has exploded, the variety of TA approaches have expanded, and, not least, our thin...
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...
Graphene: Status and Prospects
Expanding Flatland Since its discovery and isolation some 5 years ago, research on graphene has exploded. The sheets of carbon atoms, just one atom thick, exhibit a vast array o...
Nanostructured High‐Entropy Alloys with Multiple Principal Elements: Novel Alloy Design Concepts and Outcomes
A new approach for the design of alloys is presented in this study. These “high‐entropy alloys” with multi‐principal elements were synthesized using well‐developed processing te...
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....
APACHE II-A Severity of Disease Classification System
Knaus, William A. MD; Draper, Elizabeth A. RN, MS; Wagner, Douglas P. PhD; Zimmerman, Jack E. MD Author Information
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...
On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
Let $x$ and $y$ be two random variables with continuous cumulative distribution functions $f$ and $g$. A statistic $U$ depending on the relative ranks of the $x$'s and $y$'s is ...