18:18 Nov 25, 2013 |
Spanish to English translations [PRO] Science - Botany | |||||
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Summary of answers provided | ||||
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3 | probability distribution |
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3 | estimator of the probability distribution |
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Discussion entries: 2 | |
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probability distribution Explanation: from the references only. Optical Diffraction Analysis for Estimating Foliage Angle Distribution in Grassland Canopies JA Smith and JK Berry Australian Journal of Botany 27(2) 123 - 133 Published: 1979 Abstract A non-destructive, rapid technique utilizing horizontal in situ ground photographs for estimating foliage angle distributions is discussed. Optical diffraction patterns generated from orthogonal photographs are analysed for angular bias by wedge sampling. Probability distributions for planar projections of foliage orientations are derived from these measurements and mathematically convo- luted to determine the actual three-space probability distribution function for foliage angles. The method is particularly appropriate for dense canopies which are difficult to measure by other tech- niques. The diffraction technique is evaluated for abstract canopies and for a canopy of Western wheat grass (Agropyron smithii). It also yields physically consistent interpretations for the phenolo- gical development of domestic Satanta wheat (Triticum aestivum). 1. Results for similar searches 2. Maximum entropy probability distribution - Wikipedia, the free ... en.wikipedia.org/wiki/Maximum_entropy_probability_distribution o o In statistics and information theory, a maximum entropy probability distribution is aprobability distribution whose entropy is at least as great as that of all other ... More results for maximum entropy botany distribution probability 3. [PDF] PROBABILITY DISTRIBUTIONS AND MAXIMUM ENTROPY 1 ... www.math.uconn.edu/~kconrad/blurbs/analysis/entropypost.pdf o o by K CONRAD - Cited by 16 - Related articles PROBABILITY DISTRIBUTIONS AND MAXIMUM ENTROPY. KEITH CONRAD. 1. Introduction. If we want to assign probabilities to an event, and see no reason ... |
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estimator of the probability distribution Explanation: π ̂ is read as "pi hat" and this is a standard notation (the ̂ should be directly over the π) I'd actually translate as e.g. "π is estimated by the probability distribution π ̂ " |
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