Results 211 to 220 of about 3,887 (257)

Orthorhombic polymorph of 4-(2,2':6',2''-terpyridin-4'-yl)aniline. [PDF]

IUCrdata
Edwards N, Zheng SL.
europepmc   +1 more source

Syntheses and structures of bis(2-amino-py-rimi-dine-κ<i>N</i> ¹)di-chlorido-zinc(II) (ortho-rhom-bic polymorph) and bis(2-am-ino-py-rimi-dine-κ<i>N</i> ¹)di-iodido-zinc(II). [PDF]

Acta Crystallogr E Crystallogr Commun
Näther C, Bhosekar G.
europepmc   +1 more source

Bioaccumulation of potentially toxic elements in selected vegetables of Noakhali district, Bangladesh and their associated health risks. [PDF]

Sci Rep
Hasan T, Patwary AH, Abdullah ATM, Motalab M, Sultana M, Bhuiyan MA.   +5 more
europepmc   +1 more source

Crystal structure and Hirshfeld surface analysis of <i>catena</i>-poly[4-amino-4<i>H</i>-1,2,4-triazol-1-ium [lead(II)-tri-μ-bromido]]. [PDF]

Acta Crystallogr E Crystallogr Commun
Kucheriv OI, Malinkin SO, Prysiazhna O, Stoica AC, Golenya IA.   +4 more
europepmc   +1 more source

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Measuring size distortions of location quotients

International Economics, 2021
Abstract Location quotients (LQ) are a transformation of raw data stored in contingency tables. This transformation has been used frequently in studies involving international trade (under the name ‘revealed comparative advantage’) and in multiple other settings where a total can be disaggregated under at least two independent criteria and thus ...
exaly   +2 more sources

Focal Location Quotients: Specification and Applications

Geographical Analysis, 2012
Location quotients (LQs) are commonly used descriptive statistics in spatial analysis. They are not directly affected by neighbor relationships, and their calculation ignores spatial information. This article computes LQs as focal, rather than strictly local, functions by incorporating the spatial structure of the observations in the reference group in
Robert G. Cromley, Dean M. Hanink
exaly   +2 more sources

Clustering: Spatial Autocorrelation and Location Quotients

Advanced Studies in Theoretical and Applied Econometrics, 2018
Geographic concentration of employment types frequently yields clusters exhibiting moderate-to-strong positive spatial autocorrelation. Such clusters based upon geographic proximity, and frequently quantified with location quotients, also can relate to local indices of spatial autocorrelation, such as LISA and the Getis-Ord statistics.
Daniel Griffith, Jean H P Paelinck, Paelinck Jean H P   +2 more
exaly   +2 more sources

A theoretical justification for the use of location quotients

Regional Science and Urban Economics, 1975
Wolfgang Mayer, Saul Pleeter
exaly   +2 more sources

Dartboard tests for the location quotient [PDF]

Regional Science and Urban Economics, 2009
Abstract In this paper we reinterpret the location quotient, the commonly employed measure of regional industrial agglomeration, as an estimator derived from Ellison and Glaeser [Ellison, G., and Glaeser, E., 1997. Geographic concentration in U.S. manufacturing industries: a dartboard approach.
Paulo Guimarães, Octávio Figueiredo, Douglas Woodward   +2 more
openaire   +1 more source

The location quotient as an estimator of industrial concentration

Regional Science and Urban Economics, 2012
Abstract We construct the location quotient (LQ) from a discrete data generating process and formally test its statistical properties. First, we show that the LQ is typically unbiased, but exhibits finite sample bias when assuming a Poisson distribution. Second, we determine the accuracy of statistical tests, which depends of both sample size as well
Stephen B. Billings, Erik B. Johnson
openaire   +1 more source