[PDF][PDF] Review of ranked set sampling: modifications and applications
AI Al-Omari, CN Bouza - Revista Investigación Operacional, 2014 - researchgate.net
The problem of estimating the population mean is considered by McIntyre (1952). A new
sampling method is suggested, namely; ranked set sampling (RSS) as efficient method …
sampling method is suggested, namely; ranked set sampling (RSS) as efficient method …
Linear profile monitoring using EWMA structure under ranked set schemes
In many manufacturing processes, study variable is not the only quality characteristic, but
there may exist some explanatory variable (s) that are associated with the study variable …
there may exist some explanatory variable (s) that are associated with the study variable …
Improved linear profiling methods under classical and Bayesian setups: An application to chemical gas sensors
A profile is a functional relationship, between two or more variables, used to monitor the
process performance and its quality. The relationship may be linear or nonlinear depending …
process performance and its quality. The relationship may be linear or nonlinear depending …
An efficient Phase I analysis of linear profiles with application in photo-voltaic system
In many manufacturing industries, quality of an item depends on different characteristics and
their relationship may be modeled by profiles. For instance, in photo-voltaic (PV) system …
their relationship may be modeled by profiles. For instance, in photo-voltaic (PV) system …
More efficient logistic analysis using moving extreme ranked set sampling
Logistic regression is the most popular technique available for modeling dichotomous-
dependent variables. It has intensive application in the field of social, medical, behavioral …
dependent variables. It has intensive application in the field of social, medical, behavioral …
On developing linear profile methodologies: a ranked set approach with engineering application.
Linear profiles are quite popular in establishing relationships among different variables
associated with each other in an ongoing process. Control charting methodologies for these …
associated with each other in an ongoing process. Control charting methodologies for these …
Reducing sample size needed for accelerated failure time model using more efficient sampling methods
Survival data are time-to-event data, such as time to death, time to appearance of a tumor, or
time to recurrence of a disease. Accelerated failure time (AFT) models provide a linear …
time to recurrence of a disease. Accelerated failure time (AFT) models provide a linear …
Reducing sample size needed for cox-proportional hazards model analysis using more efficient sampling method
In general, survival data are time-to-event data, such as time to death, time to appearance of
a tumor, or time to recurrence of a disease. Models for survival data have frequently been …
a tumor, or time to recurrence of a disease. Models for survival data have frequently been …
The modified maximum likelihood estimators for the parameters of the regression model under bivariate median ranked set sampling
We derived the modified maximum likelihood (MML) regression type estimators using
bivariate median ranked set sampling (MRSS) and conducted an extensive simulation study …
bivariate median ranked set sampling (MRSS) and conducted an extensive simulation study …
Another look at regression analysis using ranked set samples with application to an osteoporosis study
N Faraji, M Jafari Jozani, N Nematollahi - Biometrics, 2022 - academic.oup.com
Statistical learning with ranked set samples has shown promising results in estimating
various population parameters. Despite the vast literature on rank-based statistical learning …
various population parameters. Despite the vast literature on rank-based statistical learning …