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The Kling–Gupta efficiency (KGE) is a goodness-of-fit indicator widely used in the hydrologic sciences for comparing simulations to observations. It was created by hydrologic scientists Harald Kling and Hoshin Vijai Gupta. [ 1 ]
VL MICA NG (left), to a CAMM-ER (right) at the ILA Berlin Air Show 2024. MICA can also be employed as a short-range surface-to-air missile. It is available in a ground-based version, VL MICA, fired from a truck-mounted box launcher, and a naval version, VL MICA-M, fired from a ship-fitted vertical launch system. [9]
Muscovite (also known as common mica, isinglass, or potash mica [6]) is a hydrated phyllosilicate mineral of aluminium and potassium with formula KAl 2 (AlSi 3 O 10)(F,OH) 2, or 2 (Al 2 O 3) 3 (SiO 2) 6 (H 2 O). It has a highly perfect basal cleavage yielding remarkably thin laminae (sheets) which are often highly elastic.
In some applications such as automatic calibration or machine learning, the NSE lower limit of (−∞) creates problems. To eliminate this problem and re-scale the NSE to lie solely within the range of {0,1} normalization, use the following equation that yields a Normalized Nash–Sutcliffe Efficiency (NNSE) [6] [7]
Sheet mica is considerably less abundant than flake and scrap mica, and is occasionally recovered from mining scrap and flake mica. The most important sources of sheet mica are pegmatite deposits. Sheet mica prices vary with grade and can range from less than $1 per kilogram for low-quality mica to more than $2,000 per kilogram for the highest ...
The Van Genuchten–Gupta model is an inverted S-curve applicable to crop yield and soil salinity relations. [1] It is named after Martinus Theodore van Genuchten and Satyandra K. Gupta 's work from the 1990s.
If M-score is less than -1.78, the company is unlikely to be a manipulator. For example, an M-score value of -2.50 suggests a low likelihood of manipulation. If M-score is greater than −1.78, the company is likely to be a manipulator. For example, an M-score value of -1.50 suggests a high likelihood of manipulation.
Since the score is a function of the observations, which are subject to sampling error, it lends itself to a test statistic known as score test in which the parameter is held at a particular value. Further, the ratio of two likelihood functions evaluated at two distinct parameter values can be understood as a definite integral of the score ...