Pregled bibliografske jedinice broj: 815143
Evaluation of mean imputation method appropriateness in business surveys: Case of statistical methods use survey in Croatian enterprises
Evaluation of mean imputation method appropriateness in business surveys: Case of statistical methods use survey in Croatian enterprises // Proceedings of the ISCCRO – International Statistical Conference in Croatia / Dumičić, Ksenija ; Erjavec, Nataša ; Pejić Bach, Mirjana (ur.).
Zagreb: Hrvatsko statističko društvo, 2016. str. 87-94 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 815143 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Evaluation of mean imputation method appropriateness in business surveys: Case of statistical methods use survey in Croatian enterprises
Autori
Žmuk, Berislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the ISCCRO – International Statistical Conference in Croatia
/ Dumičić, Ksenija ; Erjavec, Nataša ; Pejić Bach, Mirjana - Zagreb : Hrvatsko statističko društvo, 2016, 87-94
Skup
ISCCRO'16 - The 1st International Statistical Conference in CROatia „New Challenges of Official and Applied Statistics in European Union“
Mjesto i datum
Zagreb, Hrvatska, 05.05.2016. - 06.05.2016
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
business web survey ; Croatian enterprises ; mean imputation method ; statistical methods use
Sažetak
The missing data problem is quite common in business surveys. In order to solve this problem, researchers can use different imputation methods. In this paper the mean imputation method is observed because of its very easy implementation. The four variables from business survey on statistical methods use in Croatian enterprises are used to test if mean imputation method results are satisfactory accurate in estimation of sample means or not. Full data sets of four observed variables are used to simulate five different missing data levels. The analysis has shown that, despite of differences in statistical characteristics of data distributions between observed variables, there was no statistically significant difference at any usually used significance level between real sample means and calculated sample means after conducted imputations. This research confirmed usefulness of the mean imputation method in business surveys with the purpose to make data manipulation easier.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
Napomena
Ovaj rad je djelomično podržan od strane Hrvatske zaklade za znanost kao dio znanstvenog projekta „Statistical Modelling for Response to Crisis and Economic Growth in Western Balkan Countries“ (STRENGTHS) ; Broj projekta: HRZZ-IP-2013-11-9402, Voditeljica: prof. dr. sc. Ksenija Dumičić. Sažetak ovoga rada objavljen je u Book of Abstracts of the ISCCRO - International Statistical Conference in Croatia - Zagreb, Croatia, 05-06 May 2016 ; Conference Topic: „New Challenges of Official and Applied Statistics in European Union“, Vol. 1, No. 1. Chief Editors: Ksenija Dumičić ; Nataša Erjavec ; Mirjana Pejić Bach. Croatian Statistical Association Zagreb, 2016. ISSN: 1849- 9864. p. 28.
POVEZANOST RADA
Projekti:
HRZZ-IP-2013-11-9402 - Statističko modeliranje odgovora na krizu i ekonomskog rasta zemalja Zapadnog Balkana (STRENGTHS) (Dumičić, Ksenija, HRZZ - 2013-11) ( CroRIS)
Ustanove:
Ekonomski fakultet, Zagreb
Profili:
Berislav Žmuk
(autor)