Statistics in Transition
new series
A
A
STATISTICS
IN TRANSITION
new series
For authors
For reviewers
Contact
Statistics Poland
Research Portal
STATISTICS
IN TRANSITION
new series
For authors
For reviewers
Contact
Statistics Poland Research Portal
About the journal
Aim and scope
Associate Editors
Editorial Board
Articles
Online First
Current issue
Archives
Ethics and quality assurance policy
Abstracting and Indexing Information
Special Issue - Call for Papers
Special Issues
About the journal
Aim and scope
Associate Editors
Editorial Board
Articles
Online First
Current issue
Archives
Ethics and quality assurance policy
Abstracting and indexing information
Call for papers
Special Issues
Statistics in Transition new series, vol. 20, 2019, 1
Published online: 25 April 2019
Full issue PDF
Contents PDF
Editorial page PDF
ARTICLES
Research articles
Planning the next Census for Israel
Danny Pfeffermann, Dano Ben-Hur, Olivia Blum
Statistics in Transition new series, vol. 20, 2019, 1, pages: 7-19
Published online: 25 April 2019
DOI
10.21307/stattrans-2019-001
Full article (English) PDF
1018
Views
38
Downloads
Imputation of missing values by using raw moments
Muhammed Umair Sohail, Javid Shabbir, Fariha Sohil
Statistics in Transition new series, vol. 20, 2019, 1, pages: 21-40
Published online: 25 April 2019
DOI
10.21307/stattrans-2019-002
Full article (English) PDF
1062
Views
33
Downloads
Modelling sensitive issues on successive waves
Kumari Priyanka, Pidugu Trisandhya
Statistics in Transition new series, vol. 20, 2019, 1, pages: 41-65
Published online: 25 April 2019
DOI
10.21307/stattrans-2019-003
Full article (English) PDF
979
Views
27
Downloads
Nonrandomized response model for complex survey designs
Raghunath Arnab, Dahud Kehinde Shangodoyin, Antonio Arcos
Statistics in Transition new series, vol. 20, 2019, 1, pages: 67-86
Published online: 25 April 2019
DOI
10.21307/stattrans-2019-004
Full article (English) PDF
1088
Views
33
Downloads
On the smoothed parametric estimation of mixing proportion under fixed design regression model
Y. S. Ramakrishnaiah, Manish Trivedi, Konda Satish
Statistics in Transition new series, vol. 20, 2019, 1, pages: 87-102
Published online: 25 April 2019
DOI
10.21307/stattrans-2019-005
Full article (English) PDF
1006
Views
26
Downloads
The Odd generalized exponential log-logistic distribution group acceptance sampling plan
Devireddy Charana Udaya Sivakumar, Rosaiah Kanaparthi, Gadde Srinivasa Rao, Kruthiventi Kalyani
Statistics in Transition new series, vol. 20, 2019, 1, pages: 103-116
Published online: 25 April 2019
DOI
10.21307/stattrans-2019-006
Full article (English) PDF
1291
Views
31
Downloads
Formulation of the simple Markovian model using fractional calculus approach and its application to analysis of queue behavior of severe patients
Soma Dhar, Lipi B. Mahanta, Kishore Kumar Das
Statistics in Transition new series, vol. 20, 2019, 1, pages: 117-129
Published online: 25 April 2019
DOI
10.21307/stattrans-2019-007
Full article (English) PDF
997
Views
27
Downloads
Functional data analysis and its application to local damage detection
Jacek Leśkow, Maria Skupień
Statistics in Transition new series, vol. 20, 2019, 1, pages: 131-151
Published online: 25 April 2019
DOI
10.21307/stattrans-2019-008
Full article (English) PDF
1024
Views
32
Downloads
An alternative matrix transformation to the F test statistic for clustered data
Sukanya Intarapak, Thidaporn Supapakorn
Statistics in Transition new series, vol. 20, 2019, 1, pages: 153-169
Published online: 25 April 2019
DOI
10.21307/stattrans-2019-009
Full article (English) PDF
1069
Views
29
Downloads
Other articles
Survival regression models for single event and competing risks based on pseudo-observations
Ewa Wycinka, Tomasz Jurkiewicz
Statistics in Transition new series, vol. 20, 2019, 1, pages: 171-188
Published online: 25 April 2019
DOI
10.21307/stattrans-2019-010
Full article (English) PDF
997
Views
30
Downloads
Back to top
© 2019–2024 Copyright by Statistics Poland, some rights reserved. Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0)
