A Hyperbolic Model for Taylor’s Dispersion

2009 ◽  
Author(s):  
Andro Mikelić ◽  
Theodore E. Simos ◽  
George Psihoyios ◽  
Ch. Tsitouras
Keyword(s):  
Hyperbolic Model ◽  
Taylor’S Dispersion

scholarly journals Nonparametric Analysis of Time-Inconsistent Preferences

2021 ◽  
Author(s):  
Laura Blow ◽  
Martin Browning ◽  
Ian Crawford
Keyword(s):  
Sufficient Conditions ◽  
Revealed Preference ◽  
Hyperbolic Discounting ◽  
Time Preferences ◽  
Hyperbolic Model ◽  
Nonparametric Analysis ◽  
Time Horizons ◽  
Time Inconsistent ◽  
Using Data ◽  
Necessary And Sufficient

Abstract This paper provides a revealed preference characterisation of quasi-hyperbolic discounting which is designed to be applied to readily-available expenditure surveys. We describe necessary and sufficient conditions for the leading forms of the model and also study the consequences of the restrictions on preferences popularly used in empirical lifecycle consumption models. Using data from a household consumption panel dataset we explore the prevalence of time-inconsistent behaviour. The quasi-hyperbolic model provides a significantly more successful account of behaviour than the alternatives considered. We estimate the joint distribution of time preferences and the distribution of discount functions at various time horizons.

Estimation of Expression Levels in Spotted Microarrays with Saturated Pixels

2007 ◽  
Vol 6 (1) ◽  
Author(s):  
Chris A Glasbey ◽  
Thorsten Forster ◽  
Peter Ghazal
Keyword(s):  
Gene Expression ◽  
Linear Model ◽  
Principal Components ◽  
Laser Scanning ◽  
Dynamic Range ◽  
Biological Data ◽  
Hyperbolic Model ◽  
Expression Levels ◽  
Biased Estimates ◽  
Gene Expression Levels

Digital images obtained by the laser scanning of spotted microarrays often include saturated pixel values. These arise when the scan settings are sufficiently high and some pixels exceed the limit L=65535 and are instead set to L. Failure to adjust for this censoring leads to biased estimates of gene expression levels. To impute censored values, we propose a linear model based on the principal components of uncensored spots on the same array. This is computationally fast, flexible to adapt to distinctive spot shapes and profiles on different arrays, and is shown to be more effective than the polynomial-hyperbolic model in correcting for the bias. The application to biological data demonstrates the potential for enhancing the dynamic range of detection. Fortran90 subroutines implementing these methods are available at http://www.bioss.ac.uk/~chris.

Wave features of a hyperbolic model for the within-season dynamics of insect pathogens

2016 ◽  
Vol 66 (1) ◽  
pp. 141-152
Author(s):  
E. Barbera ◽  
C. Currò ◽  
G. Valenti
Keyword(s):  
Hyperbolic Model ◽  
Insect Pathogens

scholarly journals A hyperbolic model for the effects of urbanization on air pollution

2010 ◽  
Vol 34 (8) ◽  
pp. 2192-2202 ◽  
Author(s):  
E. Barbera ◽  
C. Currò ◽  
G. Valenti
Keyword(s):  
Air Pollution ◽  
Hyperbolic Model

Application of a hyperbolic model to municipal solid waste

Géotechnique ◽  
2011 ◽  
Vol 61 (7) ◽  
pp. 533-547 ◽  
Author(s):  
M.K. SINGH ◽  
I.R. FLEMING
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Hyperbolic Model
Sign in / Sign up

Export Citation Format

Share Document