The Experts below are selected from a list of 950424 Experts worldwide ranked by ideXlab platform

George G. Judge - One of the best experts on this subject based on the ideXlab platform.

  • Entropy based European income Distributions and inequality measures
    Physica A: Statistical Mechanics and its Applications, 2019
    Co-Authors: Sofia B Villas-boas, George G. Judge
    Abstract:

    Abstract In this paper, instead of likelihood based methods that are fragile under model uncertainty, we use entropy based methods on time-ordered household income data to recover income Distribution Information on European countries and obtain an inequality income measure. For Information recovery, we use a family of Information theoretic entropy divergence measures to obtain income probability density functions and the corresponding inequality measures, which reflect how European country based economic behavioral systems are performing, and in terms of dynamics have changed over time.

  • entropy based european income Distributions and inequality measures
    Social Science Research Network, 2017
    Co-Authors: Sofia B Villasboas, George G. Judge
    Abstract:

    In this paper, instead of likelihood based methods that are fragile under model uncertainty, we use entropy based methods on time-ordered household income data to recover income Distribution Information on European countries and obtain income inequality estimates. For Information recovery, we use a family of Information theoretic entropy based divergence measures to obtain income probability density functions and the corresponding inequality measures, which reflect how European country based behavioral systems are functioning, how the allocation and Distribution systems are performing, and in terms of dynamics, how the economic system has changed over time.

A Wiedensohler - One of the best experts on this subject based on the ideXlab platform.

  • a fast and easy to implement inversion algorithm for mobility particle size spectrometers considering particle number size Distribution Information outside of the detection range
    Atmospheric Measurement Techniques, 2014
    Co-Authors: Sascha Pfeifer, W Birmili, A Schladitz, Thomas Muller, A Nowak, A Wiedensohler
    Abstract:

    Abstract. Multiple-charge inversion is an essential procedure to convert the raw mobility Distributions recorded by mobility particle size spectrometers, such as the DMPS or SMPS (differential or scanning mobility particle sizers), into true particle number size Distributions. In this work, we present a fast and easy-to-implement multiple-charge inversion algorithm with sufficient precision for atmospheric conditions, but extended functionality. The algorithm can incorporate size Distribution Information from sensors that measure beyond the upper sizing limit of the mobility spectrometer, such as an aerodynamic particle sizer (APS) or an optical particle counter (OPC). This feature can considerably improve the multiple-charge inversion result in the upper size range of the mobility spectrometer, for example, when substantial numbers of coarse particles are present. The program also yields a continuous size Distribution from both sensors as an output. The algorithm is able to calculate the propagation of measurement errors, such as those based on counting statistics, into on the final particle number size Distribution. As an additional aspect, the algorithm can perform all inversion steps under the assumption of non-spherical particle shape, including constant or size-dependent shape factors.

Sofia B Villasboas - One of the best experts on this subject based on the ideXlab platform.

  • entropy based european income Distributions and inequality measures
    Social Science Research Network, 2017
    Co-Authors: Sofia B Villasboas, George G. Judge
    Abstract:

    In this paper, instead of likelihood based methods that are fragile under model uncertainty, we use entropy based methods on time-ordered household income data to recover income Distribution Information on European countries and obtain income inequality estimates. For Information recovery, we use a family of Information theoretic entropy based divergence measures to obtain income probability density functions and the corresponding inequality measures, which reflect how European country based behavioral systems are functioning, how the allocation and Distribution systems are performing, and in terms of dynamics, how the economic system has changed over time.

A Nowak - One of the best experts on this subject based on the ideXlab platform.

  • a fast and easy to implement inversion algorithm for mobility particle size spectrometers considering particle number size Distribution Information outside of the detection range
    Atmospheric Measurement Techniques, 2014
    Co-Authors: Sascha Pfeifer, W Birmili, A Schladitz, Thomas Muller, A Nowak, A Wiedensohler
    Abstract:

    Abstract. Multiple-charge inversion is an essential procedure to convert the raw mobility Distributions recorded by mobility particle size spectrometers, such as the DMPS or SMPS (differential or scanning mobility particle sizers), into true particle number size Distributions. In this work, we present a fast and easy-to-implement multiple-charge inversion algorithm with sufficient precision for atmospheric conditions, but extended functionality. The algorithm can incorporate size Distribution Information from sensors that measure beyond the upper sizing limit of the mobility spectrometer, such as an aerodynamic particle sizer (APS) or an optical particle counter (OPC). This feature can considerably improve the multiple-charge inversion result in the upper size range of the mobility spectrometer, for example, when substantial numbers of coarse particles are present. The program also yields a continuous size Distribution from both sensors as an output. The algorithm is able to calculate the propagation of measurement errors, such as those based on counting statistics, into on the final particle number size Distribution. As an additional aspect, the algorithm can perform all inversion steps under the assumption of non-spherical particle shape, including constant or size-dependent shape factors.

Angappa Gunasekara - One of the best experts on this subject based on the ideXlab platform.

  • cleaner supply chain management practices for twenty first century organizational competitiveness practice performance framework and research propositions
    International Journal of Production Economics, 2015
    Co-Authors: Nachiappa Subramania, Angappa Gunasekara
    Abstract:

    Sustainability is a broad area, and few researchers have attempted to classify studies on supply-chain management, such as those on processes for supply-chain use and regarding products and technology for implementing cleaner supply-chain management (CSCM). This paper offers in-depth reviews of published studies on cleaner practices at various stages of the supply chain, including strategic planning, product and service design and development, purchasing, production, Distribution, Information technology/Information systems, and human resources in two prominent production-related multidisciplinary journals over the course of a decade. By proposing a CSCM framework of practices and performance, discussing the importance of cleaner methods, and presenting performance indicators for various supply-chain stages, we highlight future topics in the area of cleaner management for supply-chain researchers to foster highly competitive organizations.