scholarly journals The precision of the arithmetic mean, geometric mean and percentiles for citation data: An experimental simulation modelling approach

2016 ◽  
Vol 10 (1) ◽  
pp. 110-123 ◽  
Author(s):  
Mike Thelwall
2012 ◽  
Vol E95-B (2) ◽  
pp. 647-650
Author(s):  
Ning WANG ◽  
Julian CHENG ◽  
Chintha TELLAMBURA

2003 ◽  
Vol 1 (3) ◽  
pp. 109-115 ◽  
Author(s):  
Thomas F. Clasen ◽  
Andrew Bastable

Paired water samples were collected and analysed for thermotolerant coliforms (TTC) from 20 sources (17 developed or rehabilitated by Oxfam and 3 others) and from the stored household water supplies of 100 households (5 from each source) in 13 towns and villages in the Kailahun District of Sierra Leone. In addition, the female head of the 85 households drawing water from Oxfam improved sources was interviewed and information recorded on demographics, hygiene instruction and practices, sanitation facilities and water collection and storage practices. At the non-improved sources, the arithmetic mean TTC load was 407/100 ml at the point of distribution, rising to a mean count of 882/100 ml at the household level. Water from the improved sources met WHO guidelines, with no faecal contamination. At the household level, however, even this safe water was subject to frequent and extensive faecal contamination; 92.9% of stored household samples contained some level of TTC, 76.5% contained more than the 10 TTC per 100 ml threshold set by the Sphere Project for emergency conditions. The arithmetic mean TTC count for all samples from the sampled households was 244 TTC per 100 ml (geometric mean was 77). These results are consistent with other studies that demonstrate substantial levels of faecal contamination of even safe water during collection, storage and access in the home. They point to the need to extend drinking water quality beyond the point of distribution to the point of consumption. The options for such extended protection, including improved collection and storage methods and household-based water treatment, are discussed.


1993 ◽  
Vol 20 (2) ◽  
pp. 220-227 ◽  
Author(s):  
M. Jimi Arey ◽  
Brian W. Baetz

Solid waste receiving facilities such as recycling centres, transfer stations, incinerators, and landfills may experience significant traffic congestion and waste storage buildup problems due to the random arrival patterns of waste delivery vehicles. The provision of an increased number of service channels and increased waste storage area will reduce the congestion and buildup problems and the associated costs, but will also incur increased capital and operating costs. A simulation modelling approach for evaluating system performance is described in this paper, and the modelling approach is applied to representative Canadian waste receiving facilities. A minimum cost approach is implemented to determine the preferred number of service channels for one application example. The sizing methodology developed should be useful to waste management engineers and planners for both the design of planned solid waste receiving facilities and the operational analysis of existing facilities for a range of projected conditions. Key words: waste management, facility sizing, simulation modelling.


2015 ◽  
Vol 22 (2) ◽  
pp. 194-209 ◽  
Author(s):  
Dejian YU ◽  
Wenyu ZHANG ◽  
George HUANG

Dual hesitant fuzzy sets (DHFSs) is a generalization of fuzzy sets (FSs) and it is typical of membership and non-membership degrees described by some discrete numerical. In this article we chiefly concerned with introducing the aggregation operators for aggregating dual hesitant fuzzy elements (DHFEs), including the dual hesitant fuzzy arithmetic mean and geometric mean. We laid emphasis on discussion of properties of newly introduced operators, and give a numerical example to describe the function of them. Finally, we used the proposed operators to select human resources outsourcing suppliers in a dual hesitant fuzzy environment.


Symmetry ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 380 ◽  
Author(s):  
Yongtao Li ◽  
Xian-Ming Gu ◽  
Jianxing Zhao

In the current note, we investigate the mathematical relations among the weighted arithmetic mean–geometric mean (AM–GM) inequality, the Hölder inequality and the weighted power-mean inequality. Meanwhile, the proofs of mathematical equivalence among the weighted AM–GM inequality, the weighted power-mean inequality and the Hölder inequality are fully achieved. The new results are more generalized than those of previous studies.


2021 ◽  
Author(s):  
Christina Saltus ◽  
Todd Swannack ◽  
S. McKay

Habitat suitability models are widely adopted in ecosystem management and restoration, where these index models are used to assess environmental impacts and benefits based on the quantity and quality of a given habitat. Many spatially distributed ecological processes require application of suitability models within a geographic information system (GIS). Here, we present a geospatial toolbox for assessing habitat suitability. The Geospatial Suitability Indices (GSI) toolbox was developed in ArcGIS Pro 2.7 using the Python® 3.7 programming language and is available for use on the local desktop in the Windows 10 environment. Two main tools comprise the GSI toolbox. First, the Suitability Index Calculator tool uses thematic or continuous geospatial raster layers to calculate parameter suitability indices based on user-specified habitat relationships. Second, the Overall Suitability Index Calculator combines multiple parameter suitability indices into one overarching index using one or more options, including: arithmetic mean, weighted arithmetic mean, geometric mean, and minimum limiting factor. The resultant output is a raster layer representing habitat suitability values from 0.0 to 1.0, where zero is unsuitable habitat and one is ideal suitability. This report documents the model purpose and development as well as provides a user’s guide for the GSI toolbox.


Author(s):  
Joseph Ajaefobi ◽  
Aysin Rahimifard ◽  
Richard Weston

Enterprises (business organisations) are increasingly operating under uncertain conditions arising from: governments that introduce new regulations; a market place which is shaped by ongoing change in customer requirements; change in capital markets that orient overall market directions; an advancing base of technology; and increasing competition which can arise from a growing number of sources (Monfared, 2000). Consequently, organisations are expected to change rapidly in response to emerging requirements. Classical theories and more recently ‘method-based’ organisation (re)design and change approaches have been proposed and tried with varying degrees of successes. This chapter contribution discusses the role of enterprise and simulation modelling in support of organisation (re)design and change. The capabilities and constraints of some widely acknowledged public domain enterprise modelling frameworks and methods are reviewed. A modelling approach which integrates the use of enterprise modelling (EM), causal loop modelling (CLM), and simulation modelling (SM) is described. The approach enables the generation of coherent and semantically rich models of organisations. The integrated modelling approach has been applied and tested in a number of manufacturing enterprises (MEs) and one case study application is described.


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