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pro vyhledávání: '"Jun-Wu Yu"'
A Survey Design for a Sensitive Binary Variable Correlated with Another Nonsensitive Binary Variable
Publikováno v:
Journal of Probability and Statistics, Vol 2013 (2013)
Tian et al. (2007) introduced a so-called hidden sensitivity model for evaluating the association of two sensitive questions with binary outcomes. However, in practice, we sometimes need to assess the association between one sensitive binary variable
Externí odkaz:
https://doaj.org/article/d2c2824b96f147f1896d5703e36a5b6a
Publikováno v:
Journal of Data Science. 9:445-470
The power law process (PLP) (i.e., the nonhomogeneous Poisson process with power intensity law) is perhaps the most widely used model for analyzing failure data from reliability growth studies. Statistical infer- ences and prediction analyses for the
Background: Long-term clinical practice has found that there are still some deficiencies in freehand joint loosening. Due to the therapist's lack of anatomical knowledge and treatment experience, and incorrect wrist joints, wrist and other parts of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c484936f0bd0860c7e5cf611310f0e63
https://doi.org/10.21203/rs.3.rs-348015/v1
https://doi.org/10.21203/rs.3.rs-348015/v1
Publikováno v:
Journal of the Korean Statistical Society. 44:432-447
Recently, Yu, Lu, and Tian (2013) introduced a combination questionnaire model to investigate the association between one sensitive binary variable and another non-sensitive binary variable. However, in practice, we sometimes need to assess the assoc
Autor:
Jun-Wu Yu, Guo-Liang Tian
Publikováno v:
Acta Mathematicae Applicatae Sinica, English Series. 27:601-612
Sampling from a truncated multivariate normal distribution (TMVND) constitutes the core computational module in fitting many statistical and econometric models. We propose two efficient methods, an iterative data augmentation (DA) algorithm and a non
Publikováno v:
Computational Statistics & Data Analysis. 52:1587-1603
In this article, statistical inference and prediction analyses for the Weibull process with incomplete observations via classical approach are studied. Specifically, observations in the early developmental phase of a testing program cannot be observe
Publikováno v:
Computational Statistics & Data Analysis. 51:4254-4268
Nonhomogeneous Poisson process (NHPP) also known as Weibull process with power law, has been widely used in modeling hardware reliability growth and detecting software failures. Although statistical inferences on the Weibull process have been studied
Publikováno v:
Metrika. 67:251-263
Sensitive topics or highly personal questions are often being asked in medical, psychological and sociological surveys. This paper proposes two new models (namely, the triangular and crosswise models) for survey sampling with the sensitive characteri
Publikováno v:
Statistics in Medicine. 26:4238-4252
We propose a new non-randomized model for assessing the association of two sensitive questions with binary outcomes. Under the new model, respondents only need to answer a non-sensitive question instead of the original two sensitive questions. As a r
A Survey Design for a Sensitive Binary Variable Correlated with Another Nonsensitive Binary Variable
Publikováno v:
Journal of Probability and Statistics, Vol 2013 (2013)
Tian et al. (2007) introduced a so-called hidden sensitivity model for evaluating the association of two sensitive questions with binary outcomes. However, in practice, we sometimes need to assess the association between one sensitive binary variable