Generalized fiducial inference: A review and new results
J Hannig, H Iyer, RCS Lai, TCM Lee - Journal of the American …, 2016 - Taylor & Francis
RA Fisher, the father of modern statistics, proposed the idea of fiducial inference during the
first half of the 20th century. While his proposal led to interesting methods for quantifying …
first half of the 20th century. While his proposal led to interesting methods for quantifying …
Hypothesis testing of process capability index from the perspective of generalized fiducial inference
F Meng, J Yang, S Huang - Quality and Reliability Engineering …, 2021 - Wiley Online Library
Hypothesis testing of C pk is an essential part for decision making on process capability. The
difficulty to test the hypothesis of C pk is the complexity of the natural estimator C ̂ pk …
difficulty to test the hypothesis of C pk is the complexity of the natural estimator C ̂ pk …
A Gibbs sampler for a class of random convex polytopes
We present a Gibbs sampler for the Dempster–Shafer (DS) approach to statistical inference
for categorical distributions. The DS framework extends the Bayesian approach, allows in …
for categorical distributions. The DS framework extends the Bayesian approach, allows in …
Detecting item preknowledge using a predictive checking method
Repeatedly using items in high-stake testing programs provides a chance for test takers to
have knowledge of particular items in advance of test administrations. A predictive checking …
have knowledge of particular items in advance of test administrations. A predictive checking …
Introduction to generalized fiducial inference
Fiducial inference was introduced in the first half of the 20th century by RA Fisher as a
means to get a posterior-like distribution for a parameter without having to arbitrarily define a …
means to get a posterior-like distribution for a parameter without having to arbitrarily define a …
Bootstrap-calibrated interval estimates for latent variable scores in item response theory
In most item response theory applications, model parameters need to be first calibrated from
sample data. Latent variable (LV) scores calculated using estimated parameters are thus …
sample data. Latent variable (LV) scores calculated using estimated parameters are thus …
Process quality recheck for Gamma quality characteristic from supplier products: a case study on radio-frequency power
F Meng, J Yang, Q Li - International Journal of Production …, 2023 - Taylor & Francis
Quality fraud seriously damages the right-to-known of customers. Therefore, it is necessary
for customers to recheck the process quality level declared by suppliers, which is often …
for customers to recheck the process quality level declared by suppliers, which is often …
AutoGFI: Streamlined Generalized Fiducial Inference for Modern Inference Problems in Models with Additive Errors
The concept of fiducial inference was introduced by RA Fisher in the 1930s to address the
perceived limitations of Bayesian inference, particularly the need for subjective prior …
perceived limitations of Bayesian inference, particularly the need for subjective prior …
Interval estimation of latent variable scores in item response theory
The uncertainty arising from item parameter estimation is often not negligible and must be
accounted for when calculating latent variable (LV) scores in item response theory (IRT). It is …
accounted for when calculating latent variable (LV) scores in item response theory (IRT). It is …
A unified nonparametric fiducial approach to interval-censored data
Censored data, where the event time is partially observed, are challenging for survival
probability estimation. In this article, we introduce a novel nonparametric fiducial approach …
probability estimation. In this article, we introduce a novel nonparametric fiducial approach …