Results 1 to 10 of about 4,697,989 (185)
Discrete choice non-response [PDF]
Working Paper Series, 2003 Missing values are endemic in the data sets available to econometricians. This paper suggests a semiparametrically efficient likelihood-based approach to deal with general non-ignorable missing data problems for discrete choice models. Our concern is when the dependent variable and/or covariates are unobserved for some sampling units.
Esmeralda A. Ramalho, Richard J. Smith
openaire +7 more sources
Survey Non-Response and Unemployment Duration [PDF]
SSRN Electronic Journal, 2004 Social surveys are often used to estimate unemployment duration distributions. Survey non-response may then cause a bias. We study this by using a data set that combines survey information of individual workers with administrative records of the same workers.
Gerard J. van den Berg +2 more
openaire +17 more sources
ABCC Gene Variants and Their Effects on Non-Response and Relapse in Pediatric Patients with Central Nervous System Tumors: A Cohort Study [PDF]
Current Issues in Molecular BiologyThe variability in outcomes among individuals is caused by multiple factors, including genetic variations in drug transporter genes known as ABCs. This study investigates the clinical effect of single-nucleotide variants (SNVs) in the ABCC1/MRP1, ABCC2 ...
Luz María Torres-Espíndola +8 more
doaj +2 more sources
Restructured searls family of estimators of population mean in the presence of nonresponse
Frontiers in Applied Mathematics and Statistics, 2022 Nonresponse is a major problem encountered by surveyors when conducting sampling surveys. The present study suggested a naïve modified Searls method for the elevated estimation of the population mean of the primary variable under investigation by ...
Abdullah Ali H. Ahmadini +3 more
doaj +1 more source
Survey Fatigue During the COVID-19 Pandemic: An Analysis of Neurosurgery Survey Response Rates
Frontiers in Surgery, 2021 Background: The COVID-19 pandemic has caused a surge in research activity while restricting data collection methods, leading to a rise in survey-based studies.
Rosaline de Koning +12 more
doaj +1 more source
In models we trust: preregistration, large samples, and replication may not suffice
Frontiers in Psychology, 2023 Despite discussions about the replicability of findings in psychological research, two issues have been largely ignored: selection mechanisms and model assumptions.
Martin Spiess, Pascal Jordan
doaj +1 more source
Mathematics, 2023 To gain insight into various phenomena of interest, cumulative distribution functions (CDFs) can be used to analyze survey data. The purpose of this study was to present an efficient ratiocum-exponential estimator for estimating a population CDF using ...
Ayesha Khalid +3 more
doaj +1 more source
An Efficient Estimation Procedure for the Population Mean under Non-Response
Statistica, 2020 This paper introduces an efficient estimation procedure for the population mean in the presence of non-response. The proposed estimators of population mean provides an improvement over the corresponding conventional estimators proposed by Cochran (1977),
Shashi Bhushan, Abhay Pratap Pandey
doaj +1 more source
Communications in Advanced Mathematical Sciences, 2023 Throughout this article, a two-phase sampling (TPS) technique is employed to estimate the population mean of the sensitive variable. The current article endeavours to develop a chain ratio type estimator for the estimation of sensitive variable(s) in the
Sunil Kumar, Sanam Preet Kour
doaj +1 more source
A New Fuzzy Multiobjective Geometric Programming in Double Sampling in Presence of Non-Response
IEEE Access, 2020 Non-linear programming problems can be solved efficiently by geometric programming in which non-linear expressions can be expressed by an exponential or power functions. In this paper, Double Sampling Stratification (DSS) strategy is used in multivariate
Shafiullah +3 more
doaj +1 more source