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Wen-Han Hwang

Showing results (1-10 of 20) with videos related to

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Biometrics|December 17, 2009
Small-sample estimation of species richness applied to forest communitiesWen-Han Hwang, Tsung-Jen Shen
Biometrical Journal. Biometrische Zeitschrift|August 2, 2016
Estimating negative binomial parameters from occurrence data with detection timesWen-Han Hwang, Richard Huggins, Jakub Stoklosa
Biometrical Journal. Biometrische Zeitschrift|May 16, 2019
A weighted partial likelihood approach for zero-truncated modelsWen-Han Hwang, Dean Heinze, Jakub Stoklosa
Biometrics|February 19, 2004
Estimation in capture-recapture models when covariates are subject to measurement errorsWen-Han Hwang, Steve Y H Huang
Biometrics|February 2, 2021
A model for analyzing clustered occurrence dataWen-Han Hwang, Richard Huggins, Jakub Stoklosa
Plos One|April 3, 2023
A general algorithm for error-in-variables regression modelling using Monte Carlo expectation maximizationJakub Stoklosa, Wen-Han Hwang, David I Warton
Journal of Agricultural, Biological, and Environmental Statistics|July 11, 2022
Population Size Estimation using Zero-truncated Poisson Regression with Measurement ErrorWen-Han Hwang, Jakub Stoklosa, Ching-Yun Wang
Wiley Interdisciplinary Reviews. Computational Statistics|August 8, 2024
Biomarker data with measurement error in medical research: A literature reviewChing-Yun Wang, Wen-Han Hwang, Xiao Song
Biometrics|March 9, 2016
Improving efficiency using the Rao-Blackwell theorem in corrected and conditional score estimation methods for joint modelsYih-Huei Huang, Wen-Han Hwang, Fei-Yin Chen
Biometrics|April 7, 2011
Differential measurement errors in zero-truncated regression models for count dataYih-Huei Huang, Wen-Han Hwang, Fei-Yin Chen
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Biometrics|December 17, 2009
Small-sample estimation of species richness applied to forest communitiesWen-Han Hwang, Tsung-Jen Shen
Biometrical Journal. Biometrische Zeitschrift|August 2, 2016
Estimating negative binomial parameters from occurrence data with detection timesWen-Han Hwang, Richard Huggins, Jakub Stoklosa
Biometrical Journal. Biometrische Zeitschrift|May 16, 2019
A weighted partial likelihood approach for zero-truncated modelsWen-Han Hwang, Dean Heinze, Jakub Stoklosa
Biometrics|February 19, 2004
Estimation in capture-recapture models when covariates are subject to measurement errorsWen-Han Hwang, Steve Y H Huang
Biometrics|February 2, 2021
A model for analyzing clustered occurrence dataWen-Han Hwang, Richard Huggins, Jakub Stoklosa
Plos One|April 3, 2023
A general algorithm for error-in-variables regression modelling using Monte Carlo expectation maximizationJakub Stoklosa, Wen-Han Hwang, David I Warton
Journal of Agricultural, Biological, and Environmental Statistics|July 11, 2022
Population Size Estimation using Zero-truncated Poisson Regression with Measurement ErrorWen-Han Hwang, Jakub Stoklosa, Ching-Yun Wang
Wiley Interdisciplinary Reviews. Computational Statistics|August 8, 2024
Biomarker data with measurement error in medical research: A literature reviewChing-Yun Wang, Wen-Han Hwang, Xiao Song
Biometrics|March 9, 2016
Improving efficiency using the Rao-Blackwell theorem in corrected and conditional score estimation methods for joint modelsYih-Huei Huang, Wen-Han Hwang, Fei-Yin Chen
Biometrics|April 7, 2011
Differential measurement errors in zero-truncated regression models for count dataYih-Huei Huang, Wen-Han Hwang, Fei-Yin Chen
Pageof 2