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Institution

University of New England (Australia)

EducationArmidale, New South Wales, Australia
About: University of New England (Australia) is a education organization based out in Armidale, New South Wales, Australia. It is known for research contribution in the topics: Population & Poison control. The organization has 6042 authors who have published 14016 publications receiving 407071 citations. The organization is also known as: The University of New England & New England University College of the University of Sydney.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a stochastic frontier production function is defined for panel data on firms, in which the nonnegative technical inefficiency effects are assumed to be a function of firm-specific variables and time.
Abstract: A stochastic frontier production function is defined for panel data on firms, in which the non-negative technical inefficiency effects are assumed to be a function of firm-specific variables and time. The inefficiency effects are assumed to be independently distributed as truncations of normal distributions with constant variance, but with means which are a linear function of observable variables. This panel data model is an extension of recently proposed models for inefficiency effects in stochastic frontiers for cross-sectional data. An empirical application of the model is obtained using up to ten years of data on paddy farmers from an Indian village. The null hypotheses, that the inefficiency effects are not stochastic or do not depend on the farmer-specific variables and time of observation, are rejected for these data.

5,783 citations

Journal ArticleDOI
TL;DR: In this article, a stochastic frontier production function model for panel data is presented, for which the firm effects are an exponential function of time, and the best predictor for the technical efficiency of an individual firm at a particular time period is presented for this timevarying model.
Abstract: Frontier production functions are important for the prediction of technical efficiencies of individual firms in an industry. A stochastic frontier production function model for panel data is presented, for which the firm effects are an exponential function of time. The best predictor for the technical efficiency of an individual firm at a particular time period is presented for this time-varying model. An empirical example is presented using agricultural data for paddy farmers in a village in India.

2,884 citations

Journal ArticleDOI
TL;DR: In this paper, a two-dimensional mapping of the Hirshfeld surfaces of a molecular molecule is presented, which summarizes quantitatively the nature and type of intermolecular interaction experienced by a molecule in the bulk, and presents it in a convenient graphical format.
Abstract: We have recently described a remarkable new way of exploring packing modes and intermolecular interactions in molecular crystals using a novel partitioning of crystal space. These molecular Hirshfeld surfaces reflect intermolecular interactions in a novel visual manner, offering a hitherto unseen picture of molecular shape in a crystalline environment. The surfaces encode information about all intermolecular interactions simultaneously, but sophisticated interactive graphics are required in order to extract the information most efficiently. To overcome this we have devised a two-dimensional mapping which summarizes quantitatively the nature and type of intermolecular interaction experienced by a molecule in the bulk, and presents it in a convenient graphical format. The mapping takes advantage of the triangulation of the Hirshfeld surfaces, and plots the fraction of points on the surface as a function of the closest distances from the point to nuclei inside and outside the surface. In this manner all interaction types (for example, hydrogen bonding, close and distant van der Waals contacts, C–H⋯π interactions, π–π stacking) are readily identifiable, and it becomes a straightforward matter to classify molecular crystals by the nature of interactions, and to rapidly identify similarities and differences which can become obscured when examining crystal packing diagrams. These plots are a novel visual representation of all the intermolecular interactions simultaneously, and are unique for a given crystal structure and polymorph. Applications to a wide variety of molecular crystals and intermolecular interactions are presented, including polymorphic systems, as well as crystals where Z′ > 1.

2,646 citations

Journal ArticleDOI
TL;DR: A new way of exploring packing modes and intermolecular interactions in molecular crystals is described, using Hirshfeld surfaces to partition crystal space, using identifiable patterns of interaction between small molecules to rationalize the often complex mix of interactions displayed by large molecules.
Abstract: A new way of exploring packing modes and intermolecular interactions in molecular crystals is described, using Hirshfeld surfaces to partition crystal space. These molecular Hirshfeld surfaces, so named because they derive from Hirshfeld's stockholder partitioning, divide the crystal into regions where the electron distribution of a sum of spherical atoms for the molecule (the promolecule) dominates the corresponding sum over the crystal (the procrystal). These surfaces reflect intermolecular interactions in a novel visual manner, offering a previously unseen picture of molecular shape in a crystalline environment. Surface features characteristic of different types of intermolecular interactions can be identified, and such features can be revealed by colour coding distances from the surface to the nearest atom exterior or interior to the surface, or by functions of the principal surface curvatures. These simple devices provide a striking and immediate picture of the types of interactions present, and even reflect their relative strengths from molecule to molecule. A complementary two-dimensional mapping is also presented, which summarizes quantitatively the types of intermolecular contacts experienced by molecules in the bulk and presents this information in a convenient colour plot. This paper describes the use of these tools in the compilation of a pictorial glossary of intermolecular interactions, using identifiable patterns of interaction between small molecules to rationalize the often complex mix of interactions displayed by large molecules.

2,049 citations

Journal ArticleDOI
TL;DR: In this article, a stochastic frontier production function is defined for panel data on sample firms, such that the disturbances associated with observations for a given firm involve the differences between traditional symmetric random errors and a non-negative random variable, which is associated with the technical efficiency of the firm.

1,925 citations


Authors

Showing all 6127 results

NameH-indexPapersCitations
Christopher J. O'Donnell159869126278
John J. McGrath120791124804
Yadvinder Malhi11553953605
Richard Shine115109656544
Enrico Gratton11585447170
Paul J. Martin11381859882
Ali Mohammadi106114954596
Michael E. Goddard10642467681
Stephen J. Wood10570039797
John P. Rice9945046587
Stephen Joseph9548545357
Leanne M. Williams9338925464
James Chapman8248336468
Ben J. Hayes8034627872
George Chen7889725363
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202337
2022132
2021952
2020812
2019875
2018798