Search

  • Select Article Type
  • Abstract Supplements
  • Blood Group Review
  • Call to Arms
  • Communications
  • Hypothesis
  • In Memoriam
  • Interview
  • Introduction
  • Letter to the Editor
  • Short Report
  • abstract
  • Abstracts
  • Article
  • book-review
  • case-report
  • case-study
  • Clinical Practice
  • Commentary
  • Conference Presentation
  • conference-report
  • congress-report
  • Correction
  • critical-appraisal
  • Editorial
  • Editorial Comment
  • Erratum
  • Events
  • in-memomoriam
  • Letter
  • Letter to Editor
  • mini-review
  • minireview
  • News
  • non-scientific
  • Obituary
  • original-paper
  • original-report
  • Original Research
  • Pictorial Review
  • Position Paper
  • Practice Report
  • Preface
  • Preliminary report
  • Product Review
  • rapid-communication
  • Report
  • research-article
  • Research Communicate
  • research-paper
  • Research Report
  • Review
  • review -article
  • review-article
  • review-paper
  • Review Paper
  • Sampling Methods
  • Scientific Commentary
  • serologic-method-review
  • short-communication
  • short-report
  • Student Essay
  • Varia
  • Welome
  • Select Journal
  • Statistics In Transition

 

Research paper | 01-November-2017

Triple-goal estimation of unemployment rates for U.S. states using the U.S. Current Population Survey data

Daniel Bonnéry, Yang Cheng, Neung Soo Ha, Partha Lahiri

Statistics in Transition New Series, Volume 16 , ISSUE 4, 511–522

Research Article | 13-December-2019

HYBRID MULTIPLE IMPUTATION IN A LARGE SCALE COMPLEX SURVEY

Large-scale complex surveys typically contain a large number of variables measured on an even larger number of respondents. Missing data is a common problem in such surveys. Since usually most of the variables in a survey are categorical, multiple imputation requires robust methods for modelling high-dimensional categorical data distributions. This paper introduces the 3-stage Hybrid Multiple Imputation (HMI) approach, computationally efficient and easy to implement, to impute complex survey

Humera Razzak, Christian Heumann

Statistics in Transition New Series, Volume 20 , ISSUE 4, 33–58

Research Article | 18-March-2020

Parametric prediction of finite population total under Informative sampling and nonignorable nonresponse

the dependence of the probability of nonresponse on unobserved or missing observations. The main aim of the paper is to consider how to account for the joint effects of informative sampling designs and notmissing-at-random response mechanism in statistical models for complex survey data. For this purpose, theoretically, we use the response distribution and relationships between the moments of the superpopoulation, the sample, sample-complement, response, and nonresponse distributions for the

Abdulhakeem Eideh

Statistics in Transition New Series, Volume 21 , ISSUE 1, 13–35

No Record Found..
Page Actions