This paper reviews the range of graphical methods available for use with nonparametric procedures, and provides examples of the use of many of the methods under the broad groupings: two-sample ...
Figure 1: Expression of reporter gene constructs derived from the gcy-5, lim-6 and lsy-6 genes. One potential explanation for our observations is that the vector backbone may dictate the packaging of ...
This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...
National security, unlocked. Each Thursday, host Mary Louise Kelly and a team of NPR correspondents discuss the biggest national security news of the week. With decades of reporting from battlefields ...
Terms apply to American Express benefits and offers. Visit americanexpress.com to learn more. Any time you tap, swipe or dip a credit or debit card at checkout or enter your card number online, you ...
Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Charlene Rhinehart is a CPA , CFE, chair of ...
Computational models are mathematical models used to numerically study the behaviour of complex systems by means of a computer simulation. A computational model can be used to make predictions of the ...
Abstract: This study proposes the time-modulated array (TMA) based rotating electric-field vector (REV) method as a means of extracting the angle information of the incoming fully correlated signals.
Abstract: The fundamental magnetization curve, or BH curve, represents the relationship between magnetic flux density B and magnetic field strength H when H varies periodically, typically determined ...
We describe computationally efficient methods for Bayesian model selection. The methods select among mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs), ...
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