Soil Moisture Profile Development from Surface Observations by Principle of Maximum Entropy

2010 ◽  
Vol 15 (5) ◽  
pp. 327-337 ◽  
Author(s):  
O. Z. Al-Hamdan ◽  
J. F. Cruise
Keyword(s):  
Soil Moisture ◽  
Maximum Entropy ◽  
Moisture Profile ◽  
Principle Of Maximum Entropy ◽  
Principle Of Maximum ◽  
Soil Moisture Profile ◽  
Surface Observations ◽  
Profile Development

scholarly journals Modeling Soil Moisture Profiles in Irrigated Fields by the Principle of Maximum Entropy

Entropy ◽  
2015 ◽  
Vol 17 (12) ◽  
pp. 4454-4484 ◽  
Author(s):  
Vikalp Mishra ◽  
Walter Ellenburg ◽  
Osama Al-Hamdan ◽  
Josh Bruce ◽  
James Cruise
Keyword(s):  
Soil Moisture ◽  
Maximum Entropy ◽  
Principle Of Maximum Entropy ◽  
Moisture Profiles ◽  
Principle Of Maximum

scholarly journals To Be or to Have Been Lucky, That Is the Question

Philosophies ◽  
2021 ◽  
Vol 6 (3) ◽  
pp. 57
Author(s):  
Antony Lesage ◽  
Jean-Marc Victor
Keyword(s):  
High Risk ◽  
Maximum Entropy ◽  
Chronic Diseases ◽  
Statistical Test ◽  
Low Risk ◽  
Principle Of Maximum Entropy ◽  
Ex Ante ◽  
Social Opportunities ◽  
Global Population ◽  
Principle Of Maximum

Is it possible to measure the dispersion of ex ante chances (i.e., chances “before the event”) among people, be it gambling, health, or social opportunities? We explore this question and provide some tools, including a statistical test, to evidence the actual dispersion of ex ante chances in various areas, with a focus on chronic diseases. Using the principle of maximum entropy, we derive the distribution of the risk of becoming ill in the global population as well as in the population of affected people. We find that affected people are either at very low risk, like the overwhelming majority of the population, but still were unlucky to become ill, or are at extremely high risk and were bound to become ill.

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