SciELO - Scientific Electronic Library Online

 
 issue48Numerical solution of biological reaction diffusion models on fixed domains by the finite element methodInfluence of temperature dependent physical properties of steel in finite element simulation of welding process author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Revista Facultad de Ingeniería Universidad de Antioquia

Print version ISSN 0120-6230
On-line version ISSN 2422-2844

Abstract

KLINGER, Rafael A; OLAYA, Javier; MARMOLEJO, Luis  and  MADERA, Carlos. A sampling plan for residentially generated solid waste quantification at urban zones of middle sized cities. Rev.fac.ing.univ. Antioquia [online]. 2009, n.48, pp.76-86. ISSN 0120-6230.

We propose a sampling plan intended for medium size cities. The proposed plan begins with a two-stage pilot plan, which helped us to obtain a better estimation of the final sample size when a ratio estimator is used. The sampling primary unit is the block side, followed by the houses as secondary units. From a sampling frame made of block sides, we pick a sample of block sides looking for a 5% sampling error with a 95% confidence level. We choose the houses to be included in the sample once we have identified within each block side those houses considered suitable for the study (those houses used exclusively as a place to live in). The identification is reached through a sensitization visit on which we make a rough draft of the block side in order to identify on it the suitable houses. The goal is to show the sampling plan design as well as its implementation. We suggest this plan as a working method for quantification of solid waste generation at similar size cities around the world, especially on developing countries.

Keywords : Two-stage sampling; conglomerates sampling; ratio estimators; pilot sampling; estimation bias; PPC; GPC.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License