IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v77y2007i12p1394-1402.html
   My bibliography  Save this article

Generalized weighted additive models based on distribution functions

Author

Listed:
  • Yeo, In-Kwon

Abstract

In this paper, a new form of generalized additive models is proposed. The proposed models consist of a distribution function of the mean response and a weighted linear combination of distribution functions of covariates. This form does not make any structural problems on linking the mean response and covariates. Markov chain Monte Carlo methods are used to estimate the parameters within a Bayesian framework.

Suggested Citation

  • Yeo, In-Kwon, 2007. "Generalized weighted additive models based on distribution functions," Statistics & Probability Letters, Elsevier, vol. 77(12), pages 1394-1402, July.
    • Handle: RePEc:eee:stapro:v:77:y:2007:i:12:p:1394-1402
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-7152(07)00104-6
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. J. A. John & N. R. Draper, 1980. "An Alternative Family of Transformations," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(2), pages 190-197, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. David Atkin & Benjamin Faber & Marco Gonzalez-Navarro, 2018. "Retail Globalization and Household Welfare: Evidence from Mexico," Journal of Political Economy, University of Chicago Press, vol. 126(1), pages 1-73.
    2. Fei Nie & Jian Li & Xiaoli Etienne & Gucheng Li, 2023. "Impact of Outward Foreign Direct Investment on Chinese Manufacturing Firms' Financialization and Servitization," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 31(2), pages 112-136, March.
    3. Ravallion, Martin, 2017. "A concave log-like transformation allowing non-positive values," Economics Letters, Elsevier, vol. 161(C), pages 130-132.
    4. Diana De Alwis & Ilan Noy, 2019. "Sri Lankan households a decade after the Indian Ocean tsunami," Review of Development Economics, Wiley Blackwell, vol. 23(2), pages 1000-1026, May.
    5. Ansgar Belke & Clemens Domnick, 2021. "Trade and capital flows: Substitutes or complements? An empirical investigation," Review of International Economics, Wiley Blackwell, vol. 29(3), pages 573-589, August.
    6. Debarsy, Nicolas & Gnabo, Jean-Yves & Kerkour, Malik, 2017. "Sovereign wealth funds’ cross-border investments: Assessing the role of country-level drivers and spatial competition," Journal of International Money and Finance, Elsevier, vol. 76(C), pages 68-87.
    7. Zhang, Zuomin & Dai, Ling, 2023. "The bank loan distribution effect of government spending expansion: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 89(C).
    8. Buncic, Daniel & Stern, Cord, 2019. "Forecast ranked tailored equity portfolios," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
    9. Yuanhua Feng & Thomas Gries & Sebastian Letmathe, 2023. "FIEGARCH, modulus asymmetric FILog-GARCH and trend-stationary dual long memory time series," Working Papers CIE 156, Paderborn University, CIE Center for International Economics.
    10. Minji Kim & Tohyun Kim, 2020. "When Do CEOs Engage in CSR Activities? Performance Feedback, CEO Ownership, and CSR," Sustainability, MDPI, vol. 12(19), pages 1-13, October.
    11. Huapeng Li & Yukun Liu & Riquan Zhang, 2019. "Small area estimation under transformed nested-error regression models," Statistical Papers, Springer, vol. 60(4), pages 1397-1418, August.
    12. Evrim Mandaci, Pinar & Cagli, Efe Caglar, 2022. "Herding intensity and volatility in cryptocurrency markets during the COVID-19," Finance Research Letters, Elsevier, vol. 46(PB).
    13. Liguo Zhang & Cuiting Jiang & Xiang Cai & Jun Wu, 2023. "Dynamic linkages between China’s OFDI, transport, and green economic growth: Empirical evidence from the B&R countries," Energy & Environment, , vol. 34(7), pages 2642-2667, November.
    14. Brouwers, Roel & Schoubben, Frederiek & Van Hulle, Cynthia & Van Uytbergen, Steve, 2016. "The initial impact of EU ETS verification events on stock prices," Energy Policy, Elsevier, vol. 94(C), pages 138-149.
    15. Jayanth Krishna Mogali & Joris Kinable & Stephen F. Smith & Zachary B. Rubinstein, 2021. "Scheduling for multi-robot routing with blocking and enabling constraints," Journal of Scheduling, Springer, vol. 24(3), pages 291-318, June.
    16. Natalia Rojas‐Perilla & Sören Pannier & Timo Schmid & Nikos Tzavidis, 2020. "Data‐driven transformations in small area estimation," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(1), pages 121-148, January.
    17. Colling, Benjamin & Van Keilegom, Ingrid, 2016. "Goodness-of-fit tests in semiparametric transformation models using the integrated regression function," LIDAM Discussion Papers ISBA 2016031, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    18. Atkinson, Anthony C. & Riani, Marco & Corbellini, Aldo, 2021. "The box-cox transformation: review and extensions," LSE Research Online Documents on Economics 103537, London School of Economics and Political Science, LSE Library.
    19. Rojas-Perilla, Natalia & Pannier, Sören & Schmid, Timo & Tzavidis, Nikos, 2017. "Data-driven transformations in small area estimation," Discussion Papers 2017/30, Free University Berlin, School of Business & Economics.
    20. Pak, Tae-Young, 2021. "What are the effects of expanding social pension on health? Evidence from the Basic Pension in South Korea," The Journal of the Economics of Ageing, Elsevier, vol. 18(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:stapro:v:77:y:2007:i:12:p:1394-1402. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.