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1.
Stochastic frontier models with dependent error components
Title:
Stochastic frontier models with dependent error components
Author:
Murray D. Smith
Murray D. Smith
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Description:
of the stochastic frontier model are assumed to be independent random variables. By employing the copula approach to statistical modelling, the joint behaviour of U and V can be parametrized thereby allowing the data the opportunity to determine the adequacy of the independence assumption. In this context, three examples of the copula approach a...
of the stochastic frontier model are assumed to be independent random variables. By employing the copula approach to statistical modelling, the joint behaviour of U and V can be parametrized thereby allowing the data the opportunity to determine the adequacy of the independence assumption. In this context, three examples of the copula approach are given: the first is algebraic (the LogisticExponential stochastic frontier model with margins bound by the FarlieGumbelMorgenstern copula), the second uses a crosssection of cost data sampled from the US electrical power industry and the third constructs a model for panel data that is then used to conduct a Monte Carlo exercise in which estimator bias is examined when the dependence structure is incorrectly ignored. Copyright Royal Economic Society 2007
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Document Type:
article
URL:
http://www.blackwellsynergy.com/doi/abs/10.1111/j.1368423X.2007.00228.x
http://www.blackwellsynergy.com/doi/abs/10.1111/j.1368423X.2007.00228.x
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RePEc: Research Papers in Economics
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2.
Modelling sample selection using Archimedean copulas
Title:
Modelling sample selection using Archimedean copulas
Author:
Murray D. Smith
Murray D. Smith
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By a theorem due to Sklar, a multivariate distribution can be represented in terms of its underlying margins by binding them together using a copula function. By exploiting this representation, the "copula approach" to modelling proceeds by specifying distributions for each margin and a copula function. In this paper, a number of families of cop...
By a theorem due to Sklar, a multivariate distribution can be represented in terms of its underlying margins by binding them together using a copula function. By exploiting this representation, the "copula approach" to modelling proceeds by specifying distributions for each margin and a copula function. In this paper, a number of families of copula functions are given, with attention focusing on those that fall within the Archimedean class. Members of this class of copulas are shown to be rich in various distributional attributes that are desired when modelling. The paper then proceeds by applying the copula approach to construct models for data that may suffer from selectivity bias. The models examined are the selfselection model, the switching regime model and the doubleselection model. It is shown that when models are constructed using copulas from the Archimedean class, the resulting expressions for the loglikelihood and score facilitate maximum likelihood estimation. The literature on selectivity modelling is almost exclusively based on multivariate normal specifications. The copula approach permits selection modelling based on multivariate nonnormality. Examples of selfselection models for labour supply and for duration of hospitalization illustrate the application of the copula approach to modelling. Copyright Royal Economic Society, 2003
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Document Type:
article
URL:
http://www.blackwellsynergy.com/doi/abs/10.1111/1368423X.00101
http://www.blackwellsynergy.com/doi/abs/10.1111/1368423X.00101
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3.
Stochastic Frontier Models With Correlated Error Components
Title:
Stochastic Frontier Models With Correlated Error Components
Author:
Murray D Smith
Murray D Smith
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In the productivity modelling literature, the disturbances U (representing technical inefficiency) and V (representing noise) of the composite error W=VU of the stochastic frontier model are assumed to be independent random variables. By employing the copula approach to statistical modelling, the joint behaviour of U and V can be parameterised ...
In the productivity modelling literature, the disturbances U (representing technical inefficiency) and V (representing noise) of the composite error W=VU of the stochastic frontier model are assumed to be independent random variables. By employing the copula approach to statistical modelling, the joint behaviour of U and V can be parameterised thereby allowing the data the opportunity to determine the adequacy of the independence assumption. In this context, three examples of the copula approach are given: the first is algebraic (the LogisticExponential stochastic frontier model with margins bound by the FairlieGumbelMorgenstern copula) and the second and third are empirically oriented, using data sets wellknown in productivity analysis. Analysed are a crosssection of cost data sampled from the US electrical power industry, and an unbalanced panel of data sampled from the US airline industry ; Stochastic Frontier model; Copula; Copula approach; Sklar's theorem; Families of copulas; Spearman's rho.
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Document Type:
preprint
URL:
http://repec.org/esAUSM04/up.4826.1077439277.pdf
http://repec.org/esAUSM04/up.4826.1077439277.pdf
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4.
Using Copulas to Model Switching Regimes with an Application to Child Labour
Title:
Using Copulas to Model Switching Regimes with an Application to Child Labour
Author:
MURRAY D. SMITH
MURRAY D. SMITH
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The copula approach to econometric modelling involves the specification of the separate components of the joint distribution of the random variables of interest: models built for each margin are bound together using a copula function. In this paper, the copula approach is used to construct models for switching regimes. The construct is illustrat...
The copula approach to econometric modelling involves the specification of the separate components of the joint distribution of the random variables of interest: models built for each margin are bound together using a copula function. In this paper, the copula approach is used to construct models for switching regimes. The construct is illustrated by fitting a wage earnings model for child workers in the early 1900s, with regimes governed according to literacy. The results improve on earlier modelling efforts by Poirier and Tobias (2003), finding that a child worker may on average expect a reduction in earnings from being literate. Copyright 2005 The Economic Society Of Australia.
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Document Type:
article
URL:
http://www.blackwellsynergy.com/servlet/useragent?func=synergy&synergyAction=showTOC&journalCode...
http://www.blackwellsynergy.com/servlet/useragent?func=synergy&synergyAction=showTOC&journalCode...
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5.
Infant mortality and child nutrition in Bangladesh
Title:
Infant mortality and child nutrition in Bangladesh
Author:
Diane Dancer
;
Anu Rammohan
;
Murray D. Smith
Diane Dancer
;
Anu Rammohan
;
Murray D. Smith
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The excess female infant mortality observed in South Asia has typically been attributed to gender discrimination in the intrahousehold allocation of food and medical care. However, studies on child nutrition find no evidence of gender differences. A natural explanation could be that in environments of high infant mortality of females, the survi...
The excess female infant mortality observed in South Asia has typically been attributed to gender discrimination in the intrahousehold allocation of food and medical care. However, studies on child nutrition find no evidence of gender differences. A natural explanation could be that in environments of high infant mortality of females, the surviving children are healthier, so that child nutrition cannot be studied independently of mortality. In this paper, we use data from the 2004 Bangladesh Demographic Health Survey to investigate if there are any gender differences in survival probabilities and whether this leads to differences in child nutrition. We argue the importance of establishing whether or not there exists a dependence relationship between the two random variables  infant mortality and child nutrition  and in order to detect this we employ a copula approach to model specification. The results suggest, for example, that while male children have a significantly lower likelihood of surviving their first year relative to female children, should they survive they have significantly better heightforage Zscores. From a policy perspective, household wealth and public health interventions such as vaccinations are found to be important predictors of better nutritional outcomes. Copyright © 2008 John Wiley & Sons, Ltd.
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Document Type:
article
URL:
http://hdl.handle.net/10.1002/hec.1379
http://hdl.handle.net/10.1002/hec.1379
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6.
2
Open Access
Title:
2
Author:
Murray D. Smith
Murray D. Smith
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Abstract: By a theorem due to Sklar, a multivariate distribution can be represented in terms of its underlying margins by binding them together using a copula function. By exploiting this representation, the “copula approach ” to modelling proceeds by specifying distributions for each margin, and a copula function. In this article, a number of c...
Abstract: By a theorem due to Sklar, a multivariate distribution can be represented in terms of its underlying margins by binding them together using a copula function. By exploiting this representation, the “copula approach ” to modelling proceeds by specifying distributions for each margin, and a copula function. In this article, a number of copula functions are given, with attention focusing on members of the Archimedean class. This class of copulas is shown to be su¢ciently rich in regard to permitting various distributional attributes as may be desired when modelling. The article then proceeds by applying the copula approach to construct models for data that may su¤er from sample selection. When Archimedean copulas are used, expressions are obtained for the loglikelihood and score that facilitate maximum likelihood estimation. The literature on selection models is almost exclusively based on multivariate normal speci…cations. Consequently, the extension to multivariate nonnormality made possible by adopting a copula approach, contributes a new source of modelling technique to the practitioner’s toolkit. Examples of selfselection models for labour supply, and for the duration of hospitalisation, illustrate the application of the copula approach to modelling.
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Contributors:
The Pennsylvania State University CiteSeerX Archives
Year of Publication:
20111028
Source:
http://www.business.qut.edu.au/esam02/program/papers/
Smith
_Murray.pdf
http://www.business.qut.edu.au/esam02/program/papers/
Smith
_Murray.pdf
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Document Type:
text
Language:
en
Subjects:
Selectivity ; Selfselection model ; Sklar’s theorem ; Copula ; Archimedean copula
Selectivity ; Selfselection model ; Sklar’s theorem ; Copula ; Archimedean copula
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DDC:
310 Collections of general statistics
(computed)
Rights:
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.196.6220
http://www.business.qut.edu.au/esam02/program/papers/Smith_Murray.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.196.6220
http://www.business.qut.edu.au/esam02/program/papers/Smith_Murray.pdf
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7.
Adherence to inhaled corticosteroids by asthmatic patients: measurement and modelling
Open Access
Title:
Adherence to inhaled corticosteroids by asthmatic patients: measurement and modelling
Author:
Amelia Taylor
;
LiChia Chen
;
Murray D. Smith
Amelia Taylor
;
LiChia Chen
;
Murray D. Smith
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Description:
Background Poor adherence to inhaled corticosteroids (ICS) is known as the main cause for therapeutic failure in asthma treatment and associated morbidity. To improve adherence, targetted and effective interventions need to be developed ideally based on using longitudinal followup of a large study cohort to establish patterns and influences on ...
Background Poor adherence to inhaled corticosteroids (ICS) is known as the main cause for therapeutic failure in asthma treatment and associated morbidity. To improve adherence, targetted and effective interventions need to be developed ideally based on using longitudinal followup of a large study cohort to establish patterns and influences on adherence. Objective To develop an annual measure of asthma patients’ adherence to ICS using primary care prescribing data over consecutive annual intervals, and to statistically model ICS adherence controlling for a range of patient factors. Setting A retrospective cohort study between 1997 and 2010 using United Kingdom general practice prescribing data on asthma patients aged between 12 and 65 years, without a diagnosis of chronic obstructive pulmonary disease. Method Patient’s ICS prescriptions are used to calculate the ‘number of days prescribed during calendar year’ divided by ‘number of days in the interval’ to form an annual prescription possession ratio (PPR) for each patient. Several definitions of PPR are considered and compared when calculating numerator and denominator. Adherence, measured by the preferred PPR, is then modelled to estimate the effect of asthma exacerbation, severity, control and other patient factors on adherence. Main outcome measure PPR, being a proxy measure for adherence. Results Annual PPR by all strategies gave a similar frequency profile. ICS were either over or underprescribed for over half of the followup time. Adherence was lower in younger patients, those newer to the study timeframe, those with less severe asthma, those with good control, with lower previous adherence, and who had not previously experienced an exacerbation. Conclusion The chosen PPR simulated clinical use of ICS most closely; including overlapping days, excess days passed to the next interval, considering gaps in the denominator, with censoring at 100 %. The PPR is a useful measure for signalling or measuring adherence changes over time. The modelling results identified many characteristics which would indicate which asthma patients and at what points in their treatment cycle they would be at increased risk of low adherence.
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Publisher:
Springer Netherlands
Year of Publication:
20140201
Source:
International Journal of Clinical Pharmacy, 20140201, Volume 36, pp 112119
International Journal of Clinical Pharmacy, 20140201, Volume 36, pp 112119
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Document Type:
Research Article
Language:
En
Subjects:
Adherence ; Asthma ; Exacerbation ; Panel data ; Prescription possession ratio
Adherence ; Asthma ; Exacerbation ; Panel data ; Prescription possession ratio
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Rights:
Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
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URL:
http://dx.doi.org/10.1007/s1109601398620
http://dx.doi.org/10.1007/s1109601398620
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8.
Mathematical Statistics with Mathematica, by Colin
Open Access
Title:
Mathematical Statistics with Mathematica, by Colin
Author:
Gordon Mills
;
Murray D. Smith (springerverlag
Gordon Mills
;
Murray D. Smith (springerverlag
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This book is an accompaniment to the computer software package mathStatica (which runs as an addon to Mathematica). The book comes with two CDROMS: mathStatica, and a 30day trial version of Mathematica 4.1. The mathStatica CDROM includes an applications pack for doing mathematical statistics, custom Mathematica palettes and an electronic ver...
This book is an accompaniment to the computer software package mathStatica (which runs as an addon to Mathematica). The book comes with two CDROMS: mathStatica, and a 30day trial version of Mathematica 4.1. The mathStatica CDROM includes an applications pack for doing mathematical statistics, custom Mathematica palettes and an electronic version of the book that is identical to the printed text, but can be used interactively to generate animations of some of the book’s figures (e.g. as a parameter is varied). (I found this last feature particularly valuable.) MathStatica has statistical operators for determining expectations (and hence characteristic functions, for example) and probabilities, for finding the distributions
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Contributors:
The Pennsylvania State University CiteSeerX Archives
Year of Publication:
20131025
Source:
http://www.mathstatica.com/reviews/Quine.pdf
http://www.mathstatica.com/reviews/Quine.pdf
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Document Type:
text
Language:
en
Rights:
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.370.1454
http://www.mathstatica.com/reviews/Quine.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.370.1454
http://www.mathstatica.com/reviews/Quine.pdf
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9.
Symbolic Maximum Likelihood Estimation with Mathematic
Open Access
Title:
Symbolic Maximum Likelihood Estimation with Mathematic
Author:
Colin Rose
;
Murray D. Smith
Colin Rose
;
Murray D. Smith
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Description:
Summary. Mathematica is a symbolic programming language that empowers the user to undertake complicated algebraic tasks. One such task is the derivation of maximum likelihood estimators, demonstrably an important topic in statistics at both the research and the expository level. In this paper, a Mathematica package is provided that contains a fu...
Summary. Mathematica is a symbolic programming language that empowers the user to undertake complicated algebraic tasks. One such task is the derivation of maximum likelihood estimators, demonstrably an important topic in statistics at both the research and the expository level. In this paper, a Mathematica package is provided that contains a function entitled SuperLog. This function utilizes patternmatching code that enhances Mathematica's ability to simplify expressions involving the natural logarithm of a product of algebraic terms. This enhancement to Mathematica's functionality can be of particular bene®t for maximum likelihood estimation.
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Contributors:
The Pennsylvania State University CiteSeerX Archives
Year of Publication:
20100914
Source:
http://www.tri.org.au/RoseSmithD.pdf
http://www.tri.org.au/RoseSmithD.pdf
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Document Type:
text
Language:
en
Subjects:
Computer algebra systems ; Estimate ; Estimator ; Mathematica ; Symbolic maximum likelihood ; Teaching
Computer algebra systems ; Estimate ; Estimator ; Mathematica ; Symbolic maximum likelihood ; Teaching
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Rights:
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URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.172.947
http://www.tri.org.au/RoseSmithD.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.172.947
http://www.tri.org.au/RoseSmithD.pdf
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10.
Symbolic Maximum Likelihood Estimation with Mathematica
Open Access
Title:
Symbolic Maximum Likelihood Estimation with Mathematica
Author:
Colin Rose
;
MURRAY D. SMITH
Colin Rose
;
MURRAY D. SMITH
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Description:
this paper, a Mathematica package is provided that contains a function entitled SuperLog. This function utilises patternmatching code that enhances Mathematica's ability to simplify expressions involving the natural logarithm of a product of algebraic terms. This enhancement to Mathematica's functionality can be of particular benefit for maximu...
this paper, a Mathematica package is provided that contains a function entitled SuperLog. This function utilises patternmatching code that enhances Mathematica's ability to simplify expressions involving the natural logarithm of a product of algebraic terms. This enhancement to Mathematica's functionality can be of particular benefit for maximum likelihood estimation. Keywords: Computer algebra systems; Estimate; Estimator; Mathematica;
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Contributors:
The Pennsylvania State University CiteSeerX Archives
Year of Publication:
20090413
Source:
ftp://ftp.stat.unimuenchen.de/pub/sfb386/paper141.ps.Z
ftp://ftp.stat.unimuenchen.de/pub/sfb386/paper141.ps.Z
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Document Type:
text
Language:
en
Subjects:
Computer algebra systems ; Estimate ; Estimator ; Mathematica ; Symbolic maximum likelihood ; Teaching
Computer algebra systems ; Estimate ; Estimator ; Mathematica ; Symbolic maximum likelihood ; Teaching
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URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.45.8451
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(111) parton distributions
(107) monte carlo
(95) qcd
(92) jet fragmentation
(91) 7000 gev cms
(88) standard model
(83) phys grqc physics general relativity and...
(83) settore fis 04 fisica nucleare e subnucleare
(82) settore fis 01 fisica sperimentale
(80) central tracking detector
(80) cross section
(78) large detector systems for particle and...
(72) zeus barrel calorimeter
(70) design
(70) faculty of science physics
(70) research groups and centres physics low...
(66) background
(63) construction
(62) higgs
(60) e e annihilation
(59) collisions
(59) jets
(59) phys astr he physics astrophysics high energy...
(58) lep
(58) qb astronomy
(58) transverse momentum dependence
(57) photon
(56) cms collaboration
(56) top physics
(54) detectors and experimental techniques
(54) p p colliding beams
(53) rapidity dependence
(53) sdu astr he sciences of the universe...
(52) detector
(51) top quark
(50) collider
(50) e e physics
(50) higgs boson
(49) events
(48) article
(48) humans
(48) model
(48) transverse momentum missing energy
(47) proton proton collisions
(46) tellurium compounds
(45) calorimeter
(45) decays
(45) regular article experimental physics
(44) centre of mass
(43) radiative corrections
(42) general relativity and quantum cosmology
(41) 7000 8000 gev cms
(41) differential cross section measured
(41) heavy ions
(40) atlas collaboration
(40) top pair production
(39) higher order 1
(38) energies
(38) hadron colliders
(38) z0 leptonic decay
(37) jet multiplicity
(37) nuclear physics experiment
(36) calorimeters
(36) zeus
(35) cross sections
(35) info eu repo classification ddc 550
(34) jet bottom
(33) channel cross section measured
(33) integrated luminosity
(33) quantum chromodynamics perturbation theory
(32) astrophysics high energy astrophysical phenomena
(32) deep inelastic scattering
(32) female
(32) mass
(32) standard model validity test
(31) dilepton final state
(31) experiment nucl
(31) male
(31) new physics search for
(30) e e collisions
(30) hera
Subject:
Dewey Decimal Classification (DDC)
(1,880) Physics [53*]
(328) Astronomy [52*]
(173) Medicine & health [61*]
(69) Chemistry [54*]
(38) History of Europe [94*]
(37) Economics [33*]
(35) Mathematics [51*]
(35) Life sciences; biology [57*]
(32) Computer science, knowledge & systems [00*]
(31) Engineering [62*]
(25) Library & information sciences [02*]
(19) Social problems & social services [36*]
(16) Other religions [29*]
(12) Earth sciences & geology [55*]
(11) Technology [60*]
(11) Sports, games & entertainment [79*]
(9) Psychology [15*]
(8) Metaphysics [11*]
(8) Manufacturing [67*]
(7) Political science [32*]
(7) Plants (Botany) [58*]
(5) Agriculture [63*]
(4) Social sciences, sociology & anthropology...
(4) Public administration & military science [35*]
(3) Magazines, journals & serials [05*]
(3) Statistics [31*]
(3) Building & construction [69*]
(3) Geography & travel [91*]
(2) Epistemology [12*]
(2) Science [50*]
(2) Chemical engineering [66*]
(1) Ethics [17*]
(1) Modern western philosophy [19*]
(1) Language [40*]
(1) Management & public relations [65*]
Dewey Decimal Classification (DDC):
Year of Publication
(1,921) 2012
(1,788) 2014
(1,768) 2013
(1,224) 2011
(856) 2010
(364) 2015
(291) 1995
(267) 1996
(226) 1999
(224) 2000
(193) 1997
(189) 1998
(154) 2009
(152) 1994
(133) 1993
(122) 2008
(102) 1992
(94) 2006
(90) 2001
(79) 2005
(79) 2007
(48) 1990
(48) 1991
(38) 2004
(28) 2003
(20) 1989
(20) 2002
(4) 1877
(4) 1975
(3) 1875
(3) 1984
(2) 1866
(2) 1868
(2) 1912
(2) 1951
(2) 1952
(2) 1964
(1) 1835
(1) 1847
(1) 1863
(1) 1881
(1) 1892
(1) 1895
(1) 1896
(1) 1904
(1) 1949
(1) 1963
(1) 1968
(1) 1969
(1) 1972
(1) 1973
(1) 1974
(1) 1979
(1) 1981
(1) 1982
(1) 1985
(1) 1988
Year of Publication:
Content Provider
(1,261) Oxford Univ.: Research Archive (ORA)
(1,179) CERN (Switzerland)
(755) Joint Inst. for Nuclear Research: JINR Document...
(739) London Univ. College: UCL Discovery
(697) Athens National Technical Univ.: DSpace
(627) Glasgow Univ.
(608) São Paulo UNESP: Repository
(585) DESY Hamburg
(468) STFC (United Kingdom)
(390) Lund Univ. Publications (LUP)
(359) Aachen RWTH: Publications
(353) London Brunel Univ.: Research Archive (BURA)
(315) Springer Open Choice
(306) Ghent Univ.
(239) HAL  Hyper Article en Ligne
(147) PubMed Central
(120) Inst. Nat. Fisica Nucleare (INFN): OA Repository
(109) London Queen Mary Univ.: Research Online
(86) Milan Univ.: Archivio Istituzionale della Ricerca
(74) Cardiff Univ.:ORCA
(70) London Royal Holloway Univ.
(69) National Central Univ. (Taiwan): Repository
(63) ArXiv.org
(57) HighWire Press
(55) Karlsruhe Univ.: Scientific Articles Repository
(52) Manchester Univ.: eScholar Services
(48) Max Planck Society: eDoc Server
(42) Purdue Univ.: ePubs
(42) Wollongong Univ.
(40) UMass Amherst
(38) London King's College: Research Portal
(34) CiteSeerX
(34) Harvard Univ.: DASH
(32) CCSD: memSIC
(31) DUMAS (France)
(30) Caltech: Authors
(25) Bath Univ.: OPus
(23) Queensland Univ.: UQ eSpace
(20) London Imperial Coll.
(20) LSHTM: Research Online
(17) DataCite Metadata Store
(16) Finland National Inst. for Health and Welfare...
(15) DOAJ Articles
(14) Biodiversty Heritage Library (BHL)
(13) RePEc.org
(12) Groningen Univ.
(8) NERC (United Kingdom)
(7) Open Univ. (United Kingdom)
(7) Belfast Queen's Univ.: Research Portal
(6) Deakin Univ.: Deakin Research Online
(6) James Cook Univ. (JCU): ResearchOnline
(6) La Trobe Univ., Australia: Research Online
(6) OSTI DOE (USA)
(6) Leuven KU: Lirias
(5) Aalborg Univ. (AAU): VBN
(5) Archive Artxiker Artxiboa (CCSD)
(5) Lausanne Ecole Polytechnique Fed.: Infoscience
(5) North Texas Univ.: The Portal to Texas History
(5) Michigan Univ.: Deep Blue
(5) Bern Univ.: BORIS
(5) Lausanne Univ.: Serval
(5) Reading Univ.: CentAUR
(4) Curtin Univ. Tech.: espace@Curtin
(4) Leicester Univ.
(4) Liège Univ.: ORBi
(4) PASCAL EPrints
(4) Bochum Univ. (RUB): Campus Research Bibliography
(4) Aarhus Univ.: Pure
(4) Hong Kong Univ.: HKU Scholars Hub
(4) NebraskaLincoln Univ. (UNL): Image &...
(4) Warwick Univ.: Warwick Research Archive Portal
(3) California Univ.: eScholarship
(3) Charles Darwin Univ.: CDU eSpace
(3) Dalhousie Univ.: DalSpace
(3) Denmark Technical Univ.: DTU Orbit
(3) Sydney Macquarie Univ.: ResearchOnline
(3) Monash Univ.: Research Repository
(3) Munich LMU: Open Access
(3) Southampton Univ.: ePrints Soton
(3) London St George Univ.: Repository
(3) Southern Denmark Univ.: Research Output
(3) Munich TU: mediaTUM
(3) Michigan Univ.: Digital Library (DLPS)
(3) Nevada Univ. Las Vegas: Research and Scholarship
(3) Auckland Univ.
(3) Geneva Univ.: Archive ouverte
(3) Hong Kong Univ. of Science and Technology
(3) Strathclyde Univ.
(2) AgEcon Search
(2) Alfred Wegener Inst.: ePIC
(2) BioMed Central
(2) CalPoly State Univ.
(2) London City Univ.: Research Online
(2) Columbia Univ.
(2) Copernicus Publications: EJournals
(2) Jackson Laboratory (JAX): Mouseion
(2) National Tsing Hua Univ.
(2) The Online Books Page (Penn Libraries)
(2) Queensland Univ. Tech.: QUT ePrints
(2) Southern Cross Univ.: epublications@SCU
Content Provider:
Language
(5,665) English
(4,951) Unknown
Language:
Document Type
(6,212) Article, Journals
(2,840) Unknown
(1,420) Text
(90) Reports, Papers, Lectures
(33) Books
(14) Primary Data
(3) Reviews
(3) Images
(1) Theses
Document Type:
Access
(9,024) Unknown
(1,592) Open Access
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