Negative Exponential Model Parameters and Centralization in Large Urban Areas in the U.S., 1950-2010

2017 ◽  
Author(s):  
John R. Ottensmann
Keyword(s):  
Urban Areas ◽  
Exponential Model ◽  
Model Parameters ◽  
Negative Exponential Model ◽  
Negative Exponential ◽  
The U.S

scholarly journals Adult Age Differences and the Role of Cognitive Resources in Perceptual–Motor Skill Acquisition: Application of a Multilevel Negative Exponential Model

2010 ◽  
Vol 65B (2) ◽  
pp. 163-173 ◽  
Author(s):  
Paolo Ghisletta ◽  
Kristen M. Kennedy ◽  
Karen M. Rodrigue ◽  
Ulman Lindenberger ◽  
Naftali Raz
Keyword(s):  
Age Differences ◽  
Skill Acquisition ◽  
Motor Skill ◽  
Exponential Model ◽  
Cognitive Resources ◽  
Adult Age ◽  
Motor Skill Acquisition ◽  
Negative Exponential Model ◽  
Negative Exponential

APPLICATION OF TWO-LEVEL NEGATIVE EXPONENTIAL MODEL TO CHILDREN'S LEARNING CURVE IN READING

2002 ◽  
Vol 31 (2) ◽  
pp. 279-299 ◽  
Author(s):  
Dung-Tsa Chen ◽  
Wenyaw Chan ◽  
David J. Francis ◽  
Sally E. Shaywitz ◽  
Bennett A. Shaywitz
Keyword(s):  
Learning Curve ◽  
Exponential Model ◽  
Children’S Learning ◽  
Negative Exponential Model ◽  
Negative Exponential ◽  
Children's Learning

scholarly journals A Wave-Spectrum Analysis of Urban Population Density: Entropy, Fractal, and Spatial Localization

2008 ◽  
Vol 2008 ◽  
pp. 1-22 ◽  
Author(s):  
Yanguang Chen
Keyword(s):  
Urban Population ◽  
Population Distribution ◽  
Wave Spectrum ◽  
Spatial Dynamics ◽  
Exponential Model ◽  
Urban Morphology ◽  
Wave Number ◽  
Entropy Maximization ◽  
Negative Exponential Model ◽  
Negative Exponential

The method of spectral analysis is employed to research the spatial dynamics of urban population distribution. First of all, the negative exponential model is derived in a new way by using an entropy-maximizing idea. Then an approximate scaling relation between wave number and spectral density is derived by Fourier transform of the negative exponential model. The theoretical results suggest the locality of urban population activities. So the principle of entropy maximization can be utilized to interpret the locality and localization of urban morphology. The wave-spectrum model is applied to the city in the real world, Hangzhou, China, and spectral exponents can give the dimension values of the fractal lines of urban population profiles. The changing trend of the fractal dimension does reflect the localization of urban population growth and diffusion. This research on spatial dynamics of urban evolvement is significant for modeling spatial complexity and simulating spatial complication of city systems by cellular automata.

scholarly journals Dung decomposition of cattle grazing from mixed pastures of Signalgrass (Brachiaria decumbens Stapf.) and tree legumes

2019 ◽  
pp. 1943-1949
Author(s):  
Carolina C. Lira ◽  
Jose C. B. Dubeux ◽  
Jr., Erick R. S. Santos ◽  
Mércia V.F. dos Santos ◽  
Erinaldo V. de Freitas
Keyword(s):  
Gliricidia Sepium ◽  
Exponential Model ◽  
Dry Forest ◽  
Co2 Evolution ◽  
Brachiaria Decumbens ◽  
Forest Region ◽  
Negative Exponential Model ◽  
In Situ Decomposition ◽  
Negative Exponential

The mineralization rate of ruminant manure may influence the fertilization management of pastures. This study aimed to evaluate feces decomposition of heifers grazing signalgrass (Brachiaria decumbens Stapf.) fertilized or not with N, or intercropped with legumes in the dry forest region. Two experiments were conducted; the first one was a CRD that evaluated the evolution of CO2 from a mixture of soil and feces (10:1) during 22 days of incubation in a hermetically sealed bucket with a solution of NaOH 0.5 mol L-1. The second one was a RCBD that evaluated the in situ decomposition of feces in nylon bags in time periods 4, 8, 16, 32, 64, 128 and 256 days after incubation above ground. The single negative exponential mathematical model was adequate (P ≤ 0.0001) to quantify the CO2 evolution of the mixture of soil and feces, indicating that 78% of CO2 was released at the beginning of the incubation, especially for the feces collected in the signalgrass pastures intercropped with Gliricidia sepium (Jacq.) Kunth ex Walp. (gliricídia). After the first 5 days, CO2 evolution was more stable. Remaining biomass in the litterbag along decomposition fitted the single negative exponential model (P < 0.001). Greater relative decomposition rate (k) of bovine fecal biomass occurred for the N-fertilized signalgrass treatment (k = 0.0031 g g-1 day-1) and a lesser rate for the treatment intercropped with Mimosa caesalpiniifolia Benth. (sabiá) (k = 0.0018 g g-1 day-1). Nitrogen fertilization in signalgrass pasture favored the decomposition of bovine feces at the end of 256 days of incubation.

On the exact distribution of Wald’s SPRT for the negative exponential model

2017 ◽  
Vol 36 (3) ◽  
pp. 299-308
Author(s):  
Patrick Starvaggi ◽  
M. K. Khan
Keyword(s):  
Exponential Model ◽  
Exact Distribution ◽  
Negative Exponential Model ◽  
Negative Exponential
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