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  • Search: subject:"Shannon’s Entropy"
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Year of publication
Subject
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Shannon’s entropy 5 Entropy 2 Shannon’s Entropy 2 Air cargo industry 1 Bayesian inference 1 Benchmarking 1 Channel coding 1 Data envelopment analysis 1 Decision-making framework 1 Delphi technique 1 Dispersion 1 Egalitarianism 1 Expert opinion 1 GIS 1 GME 1 Generalized Maximum Entropy 1 Gini’s index 1 India 1 Information value 1 Jaipur 1 Kullback–Leibler distance 1 Landslides 1 ME 1 Maximum Entropy 1 Monte Carlo Experiment 1 Non-normal disturbances 1 Noninformative priors 1 Remote Sensing 1 Sensitivity study 1 Statistical heterogeneity 1 Subbotin’s distribution 1 Susceptibility 1 TOPSIS 1 The logistic distribution 1 Urban Sprawl 1 Value for money 1 Weibull 1 climate change vulnerability 1 population 1
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Online availability
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Undetermined 5 Free 2
Type of publication
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Article 6 Book / Working Paper 1
Type of publication (narrower categories)
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research-article 1
Language
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Undetermined 5 English 2
Author
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Bousquet, Nicolas 1 Chung, Eun-Sung 1 Dahiya, Anil Kumar 1 Debnath, P. 1 Eliazar, Iddo 1 Eruygur, H. Ozan 1 Ghose, M. 1 Kim, Yeonjoo 1 Lee, Hosun 1 Patel, Nilanchal 1 Sharma, L. 1 Sisodia, Pushpendra Singh 1 Sokolov, Igor M. 1 Tiwari, Vivekananda 1 Won, Kwangjae 1 lo Storto, Corrado 1
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Institution
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Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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Benchmarking: An International Journal 1 International Journal of Applied Geospatial Research (IJAGR) 1 MPRA Paper 1 Natural Hazards 1 Physica A: Statistical Mechanics and its Applications 1 Statistical Papers / Springer 1 Sustainability 1
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Source
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RePEc 5 Other ZBW resources 2
Showing 1 - 7 of 7
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Water Resource Vulnerability Characteristics by District’s Population Size in a Changing Climate Using Subjective and Objective Weights
Chung, Eun-Sung; Won, Kwangjae; Kim, Yeonjoo; Lee, Hosun - In: Sustainability 6 (2014) 9, pp. 6141-6157
each indicator is determined based on both the Delphi technique and Shannon’s entropy, which are employed to reduce the … uncertainty in the process of determining the weights. The Delphi technique reflects expert opinions, and Shannon’s entropy …
Persistent link: https://www.econbiz.de/10010945645
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Product benchmarking in the air cargo industry : Non-parametric measurement of an aircraft value for money
lo Storto, Corrado - In: Benchmarking: An International Journal 24 (2017) 4, pp. 857-881
Purpose The purpose of this paper is to present an objective decision-making framework and conduct a benchmarking study in the air cargo industry. Design/methodology/approach The decision-making framework and benchmarking methodology evaluates the aircraft value for money (VfM) as a...
Persistent link: https://www.econbiz.de/10014684245
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Urban Sprawl Monitoring using Remote Sensing and GIS Techniques of the City Jaipur, India
Sisodia, Pushpendra Singh; Tiwari, Vivekananda; Dahiya, … - In: International Journal of Applied Geospatial Research (IJAGR) 7 (2016) 3, pp. 93-104
The rapid increase in population of India forced people to migrate from rural areas and small towns to metropolitan cities for better employment, education, and, good lifestyle. Major cities of India were industrialized and required more work force in metropolitan cities, leading to...
Persistent link: https://www.econbiz.de/10012042813
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Development and application of Shannon’s entropy integrated information value model for landslide susceptibility assessment and zonation in Sikkim Himalayas in India
Sharma, L.; Patel, Nilanchal; Ghose, M.; Debnath, P. - In: Natural Hazards 75 (2015) 2, pp. 1555-1576
this study, an attempt has been made to integrate the concept of Shannon’s entropy with the information value … integration of Shannon’s entropy by comparing the results with the landslide susceptibility determined from the information value … polygon, the Shannon’s entropy value of the individual parameters was multiplied with the summation of the landslide …
Persistent link: https://www.econbiz.de/10011151525
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Generalized maximum entropy (GME) estimator: formulation and a monte carlo study
Eruygur, H. Ozan - Volkswirtschaftliche Fakultät, … - 2005
developed by Shannon. A decade after in 1957, Jaynes formulated Shannon’s entropy as a method for estimation and inference …
Persistent link: https://www.econbiz.de/10005621749
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Maximization of statistical heterogeneity: From Shannon’s entropy to Gini’s index
Eliazar, Iddo; Sokolov, Igor M. - In: Physica A: Statistical Mechanics and its Applications 389 (2010) 16, pp. 3023-3038
Physics and Information Theory commonly use Shannon’s entropy which measures the randomness of probability laws, whereas …
Persistent link: https://www.econbiz.de/10011063693
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Eliciting vague but proper maximal entropy priors in Bayesian experiments
Bousquet, Nicolas - In: Statistical Papers 51 (2010) 3, pp. 613-628
Persistent link: https://www.econbiz.de/10008674140
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