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Tsung-Chi Cheng

Personal Details

First Name:Tsung-Chi
Middle Name:
Last Name:Cheng
Suffix:
RePEc Short-ID:pch1303
[This author has chosen not to make the email address public]

Affiliation

Department of Statistics, National Chengchi University

http://stat.nccu.edu.tw/main.php
Taiwan, Taipei

Research output

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Jump to: Articles

Articles

  1. Shih-Chieh Liao & Shih-Chieh Chang & Tsung-Chi Cheng, 2021. "Managing the Volatility Risk of Renewable Energy: Index Insurance for Offshore Wind Farms in Taiwan," Sustainability, MDPI, vol. 13(16), pages 1-27, August.
  2. Tsung-Chi Cheng & Hung-Neng Lai, 2021. "Improvements in estimating the probability of informed trading models," Quantitative Finance, Taylor & Francis Journals, vol. 21(5), pages 771-796, May.
  3. Chu-Chia Lin & Tsung-Chi Cheng & Shu-Chen Wang, 2014. "Measuring Subjective Well-Being in Taiwan," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 116(1), pages 17-45, March.
  4. Lien-Ti Bei & Tsung-Chi Cheng, 2013. "Brand power index -- using principal component analysis," Applied Economics, Taylor & Francis Journals, vol. 45(20), pages 2954-2960, July.
  5. Wei-Jen Wen & Tsung-Chi Cheng, 2013. "Performing arts attendance in Taiwan: who and how often?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(2), pages 309-325, May.
  6. Cheng, Tsung-Chi, 2012. "On simultaneously identifying outliers and heteroscedasticity without specific form," Computational Statistics & Data Analysis, Elsevier, vol. 56(7), pages 2258-2272.
  7. Tsung-Chi Cheng & Wei-Jen Wen, 2011. "Determinants of performing arts attendance in Taiwan: a multivariate probit analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 18(15), pages 1437-1442.
  8. Cheng, Tsung-Chi, 2011. "Robust diagnostics for the heteroscedastic regression model," Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1845-1866, April.
  9. Cheng, Tsung-Chi & Biswas, Atanu, 2008. "Maximum trimmed likelihood estimator for multivariate mixed continuous and categorical data," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 2042-2065, January.
  10. Cheng, Tsung-Chi, 2005. "Robust regression diagnostics with data transformations," Computational Statistics & Data Analysis, Elsevier, vol. 49(3), pages 875-891, June.
  11. Atkinson, A. C. & Cheng, Tsung-Chi, 2000. "On robust linear regression with incomplete data," Computational Statistics & Data Analysis, Elsevier, vol. 33(4), pages 361-380, June.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Shih-Chieh Liao & Shih-Chieh Chang & Tsung-Chi Cheng, 2021. "Managing the Volatility Risk of Renewable Energy: Index Insurance for Offshore Wind Farms in Taiwan," Sustainability, MDPI, vol. 13(16), pages 1-27, August.

    Cited by:

    1. Shih‐Chieh Liao & Shih‐Chieh Chang & Tsung‐Chi Cheng, 2022. "Index‐based renewable energy insurance for Taiwan Solar Photovoltaic Power Plants," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 25(2), pages 145-172, June.
    2. Chin-Wen Liao & Kai-Chao Yao & Chin-Tang Tsai & Jing-Ran Xu & Wei-Lun Huang & Wei-Sho Ho & Yu-Peng Wang, 2023. "Constructing and Validating Professional Competence Indicators for Underwater Welding Technicians for Offshore Wind Power Generation in Taiwan," Sustainability, MDPI, vol. 15(14), pages 1-25, July.

  2. Chu-Chia Lin & Tsung-Chi Cheng & Shu-Chen Wang, 2014. "Measuring Subjective Well-Being in Taiwan," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 116(1), pages 17-45, March.

    Cited by:

    1. Tharp, Derek & Parks-Stamm, Elizabeth, 2020. "Examining Gender Differences in Predictors of Financial Satisfaction: Evidence from Taiwan," SocArXiv 2yvjs, Center for Open Science.
    2. Xuechen Leng & Jinfeng Han & Yingcan Zheng & Xiaoyong Hu & Hong Chen, 2021. "The Role of a “Happy Personality” in the Relationship of Subjective Social Status and Domain-Specific Satisfaction in China," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(4), pages 1733-1751, August.
    3. Tsung-Chi Cheng & Chao-Yin Lin & Shu-Chen Wang, 2023. "Exploring factors related to agreement between importance and satisfaction of subjective well-being indicators: evidence from Taiwan," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2811-2839, June.
    4. Derek T. Tharp & Elizabeth J. Parks‐Stamm, 2021. "Examining gender differences in predictors of financial satisfaction: Evidence from Taiwan," Journal of Consumer Affairs, Wiley Blackwell, vol. 55(4), pages 1505-1539, December.
    5. M. Pilar Matud & Marisela López-Curbelo & Demelza Fortes, 2019. "Gender and Psychological Well-Being," IJERPH, MDPI, vol. 16(19), pages 1-11, September.

  3. Lien-Ti Bei & Tsung-Chi Cheng, 2013. "Brand power index -- using principal component analysis," Applied Economics, Taylor & Francis Journals, vol. 45(20), pages 2954-2960, July.

    Cited by:

    1. Madhur Bhatia & Rachita Gulati, 2020. "Assessing the Quality of Bank Boards: Evidence from the Indian Banking Industry," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 14(4), pages 409-431, November.
    2. Chu-Chia Lin & Tsung-Chi Cheng & Shu-Chen Wang, 2014. "Measuring Subjective Well-Being in Taiwan," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 116(1), pages 17-45, March.

  4. Wei-Jen Wen & Tsung-Chi Cheng, 2013. "Performing arts attendance in Taiwan: who and how often?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(2), pages 309-325, May.

    Cited by:

    1. Kirstin Hallmann & Cristina Muñiz Artime & Christoph Breuer & Sören Dallmeyer & Magnus Metz, 2017. "Leisure participation: modelling the decision to engage in sports and culture," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(4), pages 467-487, November.
    2. Karol J. Borowiecki & Catarina Marvao, 2015. "Dance Participation and Attendance in Denmark," ACEI Working Paper Series AWP-01-2015, Association for Cultural Economics International, revised Apr 2015.
    3. Jesús Manuel De Sancha-Navarro & Juan Lara-Rubio & María Dolores Oliver-Alfonso & Luis Palma-Martos, 2021. "Cultural Sustainability in University Students’ Flamenco Music Event Attendance: A Neural Networks Approach," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    4. Yi, Jisu & Lee, Youseok & Suh, Jungmin & Kim, Sang-Hoon, 2022. "Psychological determinants of non-attendees’ resistance toward performing arts," Journal of Business Research, Elsevier, vol. 149(C), pages 690-699.
    5. Michael Getzner, 2020. "Spatially Disaggregated Cultural Consumption: Empirical Evidence of Cultural Sustainability from Austria," Sustainability, MDPI, vol. 12(23), pages 1-19, December.
    6. Sara Suarez-Fernandez & Juan Prieto-Rodriguez & Maria Jose Perez-Villadoniga, 2020. "The changing role of education as we move from popular to highbrow culture," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 44(2), pages 189-212, June.
    7. Junlong Wu & Keshen Jiang & Chaoqing Yuan, 2019. "Determinants of demand for traditional Chinese opera," Empirical Economics, Springer, vol. 57(6), pages 2129-2148, December.
    8. Marilena Vecco & Andrej Srakar & Michele Piazzai, 2016. "Visitor Attitudes to Deaccessioning in Italian Public Museums: An Econometric Analysis," ACEI Working Paper Series AWP-02-2016, Association for Cultural Economics International, revised Feb 2016.
    9. Geng Chen & Pei Tang, 2021. "Similar but special: an econometric analysis of live performing arts attendance in mainland China," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(3), pages 459-490, September.
    10. Cristina Muñiz & Plácido Rodríguez & María José Suárez, 2017. "Participation in cultural activities: specification issues," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 41(1), pages 71-93, February.
    11. Chu-Chia Lin & Tsung-Chi Cheng & Shu-Chen Wang, 2014. "Measuring Subjective Well-Being in Taiwan," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 116(1), pages 17-45, March.
    12. Marta Zieba, 2017. "Cultural participation of tourists – Evidence from travel habits of Austrian residents," Tourism Economics, , vol. 23(2), pages 295-315, March.
    13. Pascal Courty & Fenghua Zhang, 2018. "Cultural participation in major Chinese cities," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(4), pages 543-592, November.
    14. Hahm, Joon Beom & Byon, Kevin K. & Hyun, Yeon Ah & Hahm, Jeongbeom, 2022. "The show must go on: The mediating role of self-assessment in the relationship between performers’ technology acceptance and satisfaction level with remote performances in Korea during the COVID-19 pa," Technology in Society, Elsevier, vol. 68(C).
    15. Andrey David Ramos Ramírez & Nora Elena Espinal Monsalve, 2020. "Aplicación de modelos de elección discreta regularizados para el análisis de los determinantes del consumo cultural en Colombia: el caso de los bienes del patrimonio cultural [Aplicação de modelos reg," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 30(1), pages 37-68, January-A.

  5. Tsung-Chi Cheng & Wei-Jen Wen, 2011. "Determinants of performing arts attendance in Taiwan: a multivariate probit analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 18(15), pages 1437-1442.

    Cited by:

    1. Karol J. Borowiecki & Catarina Marvao, 2015. "Dance Participation and Attendance in Denmark," ACEI Working Paper Series AWP-01-2015, Association for Cultural Economics International, revised Apr 2015.
    2. Junlong Wu & Keshen Jiang & Chaoqing Yuan, 2019. "Determinants of demand for traditional Chinese opera," Empirical Economics, Springer, vol. 57(6), pages 2129-2148, December.
    3. Madhavan-Nambiar, Padmanand & Florkowski, Wojciech & Chinnan, Manjeet & Resurrecion, Anna, 2015. "Drivers of Regular Consumption of Fresh Fruit and Vegetables in Urban Households of the Republic of Uganda," 2015 Conference, August 9-14, 2015, Milan, Italy 212202, International Association of Agricultural Economists.
    4. Geng Chen & Pei Tang, 2021. "Similar but special: an econometric analysis of live performing arts attendance in mainland China," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(3), pages 459-490, September.
    5. Madhavan-Nambiar, Padmanand & Florkowski, Wojciech & Chinnan, Manjeet & Ressurrecion, Anna, 2015. "Shopping outlet choice and frequency in urban areas of the Republic of Uganda," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196821, Southern Agricultural Economics Association.
    6. Wei-Jen Wen & Tsung-Chi Cheng, 2013. "Performing arts attendance in Taiwan: who and how often?," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(2), pages 309-325, May.

  6. Cheng, Tsung-Chi, 2011. "Robust diagnostics for the heteroscedastic regression model," Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1845-1866, April.

    Cited by:

    1. Cheng, Tsung-Chi, 2012. "On simultaneously identifying outliers and heteroscedasticity without specific form," Computational Statistics & Data Analysis, Elsevier, vol. 56(7), pages 2258-2272.
    2. Neykov, N.M. & Filzmoser, P. & Neytchev, P.N., 2012. "Robust joint modeling of mean and dispersion through trimming," Computational Statistics & Data Analysis, Elsevier, vol. 56(1), pages 34-48, January.
    3. Atkinson, Anthony C. & Riani, Marco & Torti, Francesca, 2016. "Robust methods for heteroskedastic regression," Computational Statistics & Data Analysis, Elsevier, vol. 104(C), pages 209-222.
    4. Barranco-Chamorro, I. & Jiménez-Gamero, M.D. & Moreno-Rebollo, J.L. & Muñoz-Pichardo, J.M., 2012. "Case-deletion type diagnostics for calibration estimators in survey sampling," Computational Statistics & Data Analysis, Elsevier, vol. 56(7), pages 2219-2236.

  7. Cheng, Tsung-Chi & Biswas, Atanu, 2008. "Maximum trimmed likelihood estimator for multivariate mixed continuous and categorical data," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 2042-2065, January.

    Cited by:

    1. Cheng, Tsung-Chi, 2011. "Robust diagnostics for the heteroscedastic regression model," Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1845-1866, April.
    2. Meghna Bose & Jean‐François Angers & Atanu Biswas, 2023. "Prior effective sample size in phase II clinical trials with mixed binary and continuous responses," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 77(2), pages 233-248, May.

  8. Cheng, Tsung-Chi, 2005. "Robust regression diagnostics with data transformations," Computational Statistics & Data Analysis, Elsevier, vol. 49(3), pages 875-891, June.

    Cited by:

    1. Cheng, Tsung-Chi, 2011. "Robust diagnostics for the heteroscedastic regression model," Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1845-1866, April.
    2. Cheng, Tsung-Chi & Biswas, Atanu, 2008. "Maximum trimmed likelihood estimator for multivariate mixed continuous and categorical data," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 2042-2065, January.
    3. Marazzi, Alfio & Yohai, Victor J., 2006. "Robust Box-Cox transformations based on minimum residual autocorrelation," Computational Statistics & Data Analysis, Elsevier, vol. 50(10), pages 2752-2768, June.
    4. Li-Chu Chien & Tsung-Shan Tsou, 2014. "Robust influence diagnostics for generalized linear models with continuous responses," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 68(4), pages 324-343, November.

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