scholarly journals Bringing the analysis of animal orientation data full circle: model-based approaches with maximum likelihood

2017 ◽  
Vol 220 (21) ◽  
pp. 3878-3882 ◽  
Author(s):  
Robert R. Fitak ◽  
Sönke Johnsen
Keyword(s):  
Maximum Likelihood ◽  
Orientation Data ◽  
Model Based ◽  
Full Circle ◽  
Circle Model ◽  
Animal Orientation

Model-based classification with dissimilarities: a maximum likelihood approach

2008 ◽  
Vol 11 (3-4) ◽  
pp. 281-298
Author(s):  
Eugène-Patrice Ndong Nguéma ◽  
Guillaume Saint-Pierre
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Approach ◽  
Model Based ◽  
Likelihood Approach

The Examination of the Economical Effectiveness of Forest Fire Suppression by Using Theoretical Fire Spread Models

2016 ◽  
Vol 15 (1) ◽  
pp. 85-92
Author(s):  
Ágoston Restás
Keyword(s):  
Forest Fire ◽  
Economic Efficiency ◽  
Fire Suppression ◽  
Fire Spread ◽  
Concentric Circle ◽  
Model Based ◽  
Actual Fire ◽  
Concentric Circles ◽  
Circle Model ◽  
Rectangular Model

It is commonly known that firefighting is very expensive solution; therefore it isn’t useless to study it by the criteria of efficiency. But the meaning of efficiency for fire managers can be different from the meaning of efficiency for economists. From an economic viewpoint, it is stricter than from a technical view. Method: this research used geometric aspects of the fire spread created rectangular and concentric circles models and used basic mathematic calculations and logical conclusions. Results and discussion: The rectangular model shows the criteria of economic efficiency of firefighting. Moreover, the results from rectangular model can be transferred also to the section of concentric circles model. Based on the concentric circle model we can define both the economic efficiency of fighting forest fire and minimal criteria of successful suppression expressed by the elementary information we have regarding the actual fire.

Statistical analysis of animal orientation data

1992 ◽  
Vol 43 (1) ◽  
pp. 15-33 ◽  
Author(s):  
Jon T. Schnute ◽  
Kees Groot
Keyword(s):  
Statistical Analysis ◽  
Orientation Data ◽  
Animal Orientation

Fast maximum-likelihood identification of modal parameters with uncertainty intervals: A modal model-based formulation

2013 ◽  
Vol 37 (1-2) ◽  
pp. 422-439 ◽  
Author(s):  
Mahmoud El-kafafy ◽  
Tim De Troyer ◽  
Bart Peeters ◽  
Patrick Guillaume
Keyword(s):  
Maximum Likelihood ◽  
Modal Parameters ◽  
Model Based ◽  
Modal Model

Research on Complex Equipment Reliability Growth AMSAA-ELP Model Based on Explore Learning Promotion

2014 ◽  
Vol 940 ◽  
pp. 531-534 ◽  
Author(s):  
Na Zhang
Keyword(s):  
Maximum Likelihood ◽  
Goodness Of Fit ◽  
Likelihood Estimation ◽  
Trend Test ◽  
Reliability Growth ◽  
Goodness Of Fit Test ◽  
Model Based ◽  
Estimation Formula ◽  
Equipment Reliability ◽  
Complex Equipment

According to learning other models equipment test information of complex equipment in the development process, and making their own systems to improve the reliability of the case, a complex equipment reliability growth AMSAA-ELP model based on explore learning promotion was developed, and the property was analyzed from different parameter values. Additionally, the trend test was also presented. Secondly, maximum likelihood estimation formula of the parameters was given under time censored and failure censored test of AMSAA-ELP model, and point out that there are multiple poles value of the maximum likelihood estimate can use pseudo-Monte-Carlo method parameter calculation. Additionally, the model's goodness of fit test was also given. Finally, the combination of complex equipment with engine failure data was analyzed. The results shows that the AMSAA-ELP model is prefer to AMSAA model intended to test data, and the AMSAA-ELP model is suitable to the engineering applications.

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