Through a Random Route to the Goal: Theoretical Background and Application of the Method in Tourism Surveying in Poland

Wójcik, Sebastian

doi:10.21307/stattrans-2020-051

Autor

Wójcik Sebastian (University of Rzeszów, Poland; Statistical Office in Rzeszów, Poland)

Tytuł

Through a Random Route to the Goal: Theoretical Background and Application of the Method in Tourism Surveying in Poland

Źródło

Statistics in Transition, 2020, vol. 21, nr 3, s. 185-193, tab., bibliogr. s. 192-193

Słowa kluczowe

Metodologia badań statystycznych, Badania ankietowe, Badania reprezentacyjne, Estymatory, Analiza ruchu turystycznego
Methodology of statistical surveys, Questionnaire survey, Sampling survey, Estimators, Analysis of tourist movement

Uwagi

summ.

Abstrakt

Classic survey methods are ineffective when surveying a small or rare population. Several methods have been developed to address this issue, but often without providing a full mathematical justification. In this paper we propose estimators of parameters relating to Random Route Sampling and explore their basic properties. A formula for the Horvitz-Thompson estimator weights is presented. Finally, a case of a tourism-related survey conducted in Poland is discussed. (original abstract)

Dostępne w

Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka SGH im. Profesora Andrzeja Grodka
Biblioteka Główna Uniwersytetu Ekonomicznego w Katowicach

Pełny tekst

Bibliografia

HOFFMEYER-ZLOTNIK, J. H. P., (2003). New Sampling Designs and the Quality of Data. Methodoloski zvezki - Advances in Methodology and Statistics, 19. Ljubljana: FDV, pp. 205-217.
DE RADA, V. D., MARTIN, V. M., (2014). Random Route and Quota Sampling: Do They Offer Any Advantage over Probably Sampling Methods?, Open Journal of Statistics, 4 (5). DOI: 10.4236/ojs.2014.45038.
BAUER, J. J., (2014). Selection Errors of Random Route Samples, Sociological Methods & Research, 43 (3), pp. 519-544. DOI: 10.1177/0049124114521150.
BAUER, J. J., (2016). Biases in Random Route Surveys, Journal of Survey Statistics and Methodology, 4 (2), pp. 263-287. DOI: 10.1093/jssam/smw012.
PFANZAGL, J., (1994). Parametric Statistical Theory, Berlin: Walter de Gruyter.
GUENTHER, W. C., (1975). The Inverse Hypergeometric - A Useful Model. Statistica Neerlandica, 29, pp. 129-144.
ZHANG, L., JOHNSON, W. D., (2011). Approximate Confidence Intervals for a Parameter of the Negative Hypergeometric Distribution Proceedings of the Survey Research Methods Section, American Statistical Association.
JOHNSON, N. L., KOTZ, S., (1969). Distributions in statistics, discrete distributions, Wiley.
BANDYOPADHYAY, P. S., FORSTER, M. R., (2011). Philosophy of Statistics, North Holland.
HILBE, J. M., (2011). Negative binomial regression, Cambridge University Press.
STUART, A., (1998). Kendall's Advanced Theory of Statistics, Wiley.

Cytowane przez

ISSN

1234-7655

Język

eng

URI / DOI

BazEkon - Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie

Meny główne