Concept

Cumulative distribution function

Related publications (276)

Likelihood-Based Inference for Max-Stable Processes

The last decade has seen max-stable processes emerge as a common tool for the statistical modeling of spatial extremes However, their application is complicated due to the unavailability of the multivariate density function and so likehhood-based methods r ...

American Statistical Association2010

Geostatistical simulation of 2D fields of raindrop size distributions at the meso-gamma scale

Alexis Berne, Marc Schleiss

The large variability of the drop size distribution (DSD) in space and time must be taken into account to improve remote sensing of precipitation. The ability to simulate a large number of 2D fields of DSD sharing the same statistical properties provides a ...

2009

Estimation of travel time on urban networks with midlink sources and sinks

André-Gilles Dumont, Edward Chung, Ashish Bhaskar

This paper presents a methodology for estimation of average travel time on signalized urban networks by integrating cumulative plots and probe data. This integration aims to reduce the relative deviations in the cumulative plots due to midlink sources and ...

National Academy of Sciences2009

Travel time estimation on urban networks with mid-link sources and sinks.

André-Gilles Dumont, Edward Chung, Ashish Bhaskar

A model for average travel time estimation on signalized urban networks by integrating cumulative plots with probe vehicle information is presented. The integration is performed with the aim to reduce the relative deviations in the cumulative plots occurre ...

2009

Nonlinear storage-discharge relations and catchment streamflow regimes

Andrea Rinaldo, Gianluca Botter

Nonlinear storage-discharge relations may explain important hydrologic features frequently observed under a variety of environmental conditions. In this paper the catchment dynamic storage problem is addressed by incorporating nonlinear storage-discharge r ...

American Geophysical Union2009

A methodology (CUPRITE) for urban network travel time estimation by integrating multisource data

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Travel time is an important network performance measure and it quantifies congestion in a manner easily understood by all transport users. In urban networks, travel time estimation is challenging due to number of reasons such as, fluctuations in traffic fl ...

EPFL2009

Predicting spacial similarity of freshwater fish biodiversity

Andrea Rinaldo, Mihaela Marian

A major issue in modern ecology is to understand how ecological complexity at broad scales is regulated by mechanisms operating at the organismic level. What specific underlying processes are essential for a macroecological pattern to emerge? Here, we anal ...

2009

Travel time prediction on urban network by integrating stop-line detector data, signal controller data and probe information

André-Gilles Dumont, Edward Chung, Ashish Bhaskar

In urban network, detectors are generally used for signal control. If the data from detectors are also used for travel time estimation and fed back to the traffic management and information systems then it will be a significant contribution for managing ur ...

2009

Stochastic modelling of prey depletion processes

Anthony Christopher Davison

The modelling of prey-predator interactions is of major importance for the understanding of population dynamics. Classically, these interactions are modelled using ordinary differential equations, but this has the drawbacks of assuming continuous populatio ...

2009

Phononic properties of hexagonal chiral lattices

Alessandro Spadoni

The manuscript reports the outcome of investigations on the phononic properties of a chiral cellular structure. The considered geometry features in-plane hexagonal symmetry, whereby circular nodes are connected through six ligaments tangent to the nodes th ...

Elsevier2009

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