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Paul A. Smith

5 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2
  • last author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • stat.AP3
  • stat.ME2

identity via Semantic Scholar / OpenAlex

most citedOn estimating the size of overcoverage with the latent class model. A critique of the paper "Population Size Estimation Using Multiple Incomplete Lists with Overcoverage" by di Cecco, di Zio, Filipponi and Rocchetti (2018, JOS 34 557-572)

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing stat.APShow all

3 papers · 1 filter

stat.AP2020

Multiple system estimation using covariates having missing values and measurement error: estimating the size of the Māori population in New Zealand

Peter G. M. van der Heijden, Maarten Cruyff, Paul A. Smith +3

We investigate use of two or more linked registers, or lists, for both population size estimation and to investigate the relationship between variables appearing on all or only som…

stat.AP2020

Robust estimation for small domains in business surveys

Paul A. Smith, Chiara Bocci, Nikos Tzavidis +2

Small area (or small domain) estimation is still rarely applied in business statistics, because of challenges arising from the skewness and variability of variables such as turnove…

stat.AP2019

A review and evaluation of the use of longitudinal approaches in business surveys

Paul A. Smith, Wesley Yung

Business surveys are not generally considered to be longitudinal by design. However, the largest businesses are almost always included in each wave of recurrent surveys because the…

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