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Journal of applied statistics

Showing results (361-370 of 1,188) with videos related to

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Journal of Applied Statistics|June 16, 2022
Nonparametric inference for panel count data with competing risksE P Sreedevi, P G Sankaran
Journal of Applied Statistics|June 16, 2022
Bayesian modelling of nonlinear Poisson regression with artificial neural networksHansapani Rodrigo, Chris Tsokos
Journal of Applied Statistics|June 16, 2022
Nomogram construction to predict dyslipidemia based on a logistic regression analysisJu-Hyun Seo, Hyun-Ji Kim, Jea-Young Lee
Journal of Applied Statistics|June 16, 2022
A new method for determining the benchmark dose tolerable region and endpoint probabilities for toxicology experimentsNaha J Farhat, Edward L Boone, David J Edwards
Journal of Applied Statistics|June 16, 2022
Bayesian model selection in linear mixed models for longitudinal dataOludare Ariyo, Adrian Quintero, Johanna Muñoz, et al.
Journal of Applied Statistics|June 16, 2022
On moments of the unit Lindley distributionSaralees Nadarajah, Stephen Chan
Journal of Applied Statistics|June 16, 2022
Process capability indices in normal distribution with the presence of outliersM Jabbari Nooghabi
Journal of Applied Statistics|June 16, 2022
Assessing uncertainty of voter transitions estimated from aggregated data. Application to the 2017 French presidential electionRafael Romero, Jose M Pavía, Jorge Martín, et al.
Journal of Applied Statistics|June 16, 2022
Inference for bivariate integer-valued moving average models based on binomial thinning operationIsabel Silva, Maria Eduarda Silva, Cristina Torres
Journal of Applied Statistics|June 16, 2022
On a new type of Birnbaum-Saunders models and its inference and application to fatigue dataJaime Arrué, Reinaldo B Arellano-Valle, Héctor W Gómez, et al.
Pageof 119

Showing results (361-370 of 1,188) with videos related to

Sort By:
Pageof 119
Journal of Applied Statistics|June 16, 2022
Nonparametric inference for panel count data with competing risksE P Sreedevi, P G Sankaran
Journal of Applied Statistics|June 16, 2022
Bayesian modelling of nonlinear Poisson regression with artificial neural networksHansapani Rodrigo, Chris Tsokos
Journal of Applied Statistics|June 16, 2022
Nomogram construction to predict dyslipidemia based on a logistic regression analysisJu-Hyun Seo, Hyun-Ji Kim, Jea-Young Lee
Journal of Applied Statistics|June 16, 2022
A new method for determining the benchmark dose tolerable region and endpoint probabilities for toxicology experimentsNaha J Farhat, Edward L Boone, David J Edwards
Journal of Applied Statistics|June 16, 2022
Bayesian model selection in linear mixed models for longitudinal dataOludare Ariyo, Adrian Quintero, Johanna Muñoz, et al.
Journal of Applied Statistics|June 16, 2022
On moments of the unit Lindley distributionSaralees Nadarajah, Stephen Chan
Journal of Applied Statistics|June 16, 2022
Process capability indices in normal distribution with the presence of outliersM Jabbari Nooghabi
Journal of Applied Statistics|June 16, 2022
Assessing uncertainty of voter transitions estimated from aggregated data. Application to the 2017 French presidential electionRafael Romero, Jose M Pavía, Jorge Martín, et al.
Journal of Applied Statistics|June 16, 2022
Inference for bivariate integer-valued moving average models based on binomial thinning operationIsabel Silva, Maria Eduarda Silva, Cristina Torres
Journal of Applied Statistics|June 16, 2022
On a new type of Birnbaum-Saunders models and its inference and application to fatigue dataJaime Arrué, Reinaldo B Arellano-Valle, Héctor W Gómez, et al.
Pageof 119