IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v38y2001i1p15-48.html
   My bibliography  Save this article

Determining the number of components in mixtures of linear models

Author

Listed:
  • Hawkins, Dollena S.
  • Allen, David M.
  • Stromberg, Arnold J.

Abstract

No abstract is available for this item.

Suggested Citation

  • Hawkins, Dollena S. & Allen, David M. & Stromberg, Arnold J., 2001. "Determining the number of components in mixtures of linear models," Computational Statistics & Data Analysis, Elsevier, vol. 38(1), pages 15-48, November.
    • Handle: RePEc:eee:csdana:v:38:y:2001:i:1:p:15-48
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(01)00017-2
    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. Ellis, David M. & Flannery, Mark J., 1992. "Does the debt market assess large banks, risk? : Time series evidence from money center CDs," Journal of Monetary Economics, Elsevier, vol. 30(3), pages 481-502, December.
    2. Furman, W. David & Lindsay, Bruce G., 1994. "Testing for the number of components in a mixture of normal distributions using moment estimators," Computational Statistics & Data Analysis, Elsevier, vol. 17(5), pages 473-492, June.
    3. Gilles Celeux & Gilda Soromenho, 1996. "An entropy criterion for assessing the number of clusters in a mixture model," Journal of Classification, Springer;The Classification Society, vol. 13(2), pages 195-212, September.
    4. H. Zeisel, 1986. "A Remark on Algorithm as 183. An Efficient and Portable Pseudo‐Random Number Generator," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 35(1), pages 89-89, March.
    5. Hellekalek, P., 1998. "Good random number generators are (not so) easy to find," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 46(5), pages 485-505.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Meng Li & Sijia Xiang & Weixin Yao, 2016. "Robust estimation of the number of components for mixtures of linear regression models," Computational Statistics, Springer, vol. 31(4), pages 1539-1555, December.
    2. Zallé, Oumarou, 2023. "Natural resource rents and regime durability: Identifying cross-country durability regimes," Resources Policy, Elsevier, vol. 81(C).
    3. Sawadogo, Relwendé & Semedo, Gervasio, 2021. "Financial inclusion, income inequality, and institutions in sub-Saharan Africa: Identifying cross-country inequality regimes," International Economics, Elsevier, vol. 167(C), pages 15-28.
    4. Battisti, Michele & Parmeter, Christopher F., 2013. "Clustering and polarization in the distribution of output: A multivariate perspective," Journal of Macroeconomics, Elsevier, vol. 35(C), pages 144-162.
    5. Anaïs Rouanet & Pierre Joly & Jean‐François Dartigues & Cécile Proust‐Lima & Hélène Jacqmin‐Gadda, 2016. "Joint latent class model for longitudinal data and interval‐censored semi‐competing events: Application to dementia," Biometrics, The International Biometric Society, vol. 72(4), pages 1123-1135, December.
    6. Chun Yu & Weixin Yao & Guangren Yang, 2020. "A Selective Overview and Comparison of Robust Mixture Regression Estimators," International Statistical Review, International Statistical Institute, vol. 88(1), pages 176-202, April.
    7. Jan-Michael Becker & Christian Ringle & Marko Sarstedt & Franziska Völckner, 2015. "How collinearity affects mixture regression results," Marketing Letters, Springer, vol. 26(4), pages 643-659, December.
    8. Proust-Lima, Cécile & Joly, Pierre & Dartigues, Jean-François & Jacqmin-Gadda, Hélène, 2009. "Joint modelling of multivariate longitudinal outcomes and a time-to-event: A nonlinear latent class approach," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1142-1154, February.
    9. Gianfranco Di Vaio & Kerstin Enflo, 2009. "Did Globalization Lead to Segmentation? Identifying Cross-Country Growth Regimes in the Long-Run," Working Papers CELEG 0902, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    10. Di Vaio, Gianfranco & Enflo, Kerstin, 2011. "Did globalization drive convergence? Identifying cross-country growth regimes in the long run," European Economic Review, Elsevier, vol. 55(6), pages 832-844, August.
    11. Michele Battisti & Christopher F. Parmeter, 2010. "Convergence Tools and Mixture Analysis," Working Papers CELEG 1007, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    12. Michele Battisti & Filippo Belloc & Massimo Del Gatto, 2015. "Unbundling Technology Adoption and tfp at the Firm Level: Do Intangibles Matter?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 24(2), pages 390-414, June.
    13. Sawadogo, Relwendé & Ouoba, Youmanli, 2024. "Do natural resources rents reduce income inequality? A finite mixture of regressions approach," Resources Policy, Elsevier, vol. 91(C).
    14. Hermann Ndoya & Bruno Emmanuel Ongo Nkoa & Francis Hypolite Kemeze & Tii N. Nchofoung, 2024. "Financial development and economic complexity: The role of country stability," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 32(2), pages 415-447, April.
    15. Nicolas Depraetere & Martina Vandebroek, 2014. "Order selection in finite mixtures of linear regressions," Statistical Papers, Springer, vol. 55(3), pages 871-911, August.
    16. Ana Oliveira-Brochado & Francisco Vitorino Martins, 2014. "Identifying Small Market Segments with Mixture Regression Models," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 4(4), pages 812-812.
    17. Sarstedt, Marko & Salcher, André, 2007. "Modellselektion in Finite Mixture PLS-Modellen," Discussion Papers in Business Administration 1394, University of Munich, Munich School of Management.
    18. Gianfranco Di Vaio & Kerstin Enflo, 2009. "Did globalisation lead to segmentation? Identifying cross-country growth regimes in the long-run, 1870-2003," Working Papers 9013, Economic History Society.
    19. Michele Battisti, 2013. "Reassessing Segmentation In The Labour Market: An Application For Italy 1995–2004," Bulletin of Economic Research, Wiley Blackwell, vol. 65, pages 38-55, May.
    20. Ana Oliveira-Brochado & Francisco Vitorino Martins, 2008. "Determining the Number of Market Segments Using an Experimental Design," FEP Working Papers 263, Universidade do Porto, Faculdade de Economia do Porto.
    21. Manfred Gilli & Peter Winker, 2008. "Review of Heuristic Optimization Methods in Econometrics," Working Papers 001, COMISEF.
    22. Ana Oliveira-Brochado & F. Vitorino Martins, 2006. "Examining the segment retention problem for the “Group Satellite” case," FEP Working Papers 220, Universidade do Porto, Faculdade de Economia do Porto.

    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. Julian Aichholzer & Sylvia Kritzinger & Carolina Plescia, 2021. "National identity profiles and support for the European Union," European Union Politics, , vol. 22(2), pages 293-315, June.
    2. Adrian Bruhin & Ernst Fehr & Daniel Schunk, 2019. "The many Faces of Human Sociality: Uncovering the Distribution and Stability of Social Preferences," Journal of the European Economic Association, European Economic Association, vol. 17(4), pages 1025-1069.
    3. Malinovskii, Vsevolod K. & Kosova, Ksenia O., 2014. "Simulation analysis of ruin capital in Sparre Andersen’s model of risk," Insurance: Mathematics and Economics, Elsevier, vol. 59(C), pages 184-193.
    4. Ioannidou, V. & de Dreu, J., 2006. "The Impact of Explicit Deposit Insurance on Market Discipline," Other publications TiSEM 693cfa2c-76f1-4304-872f-f, Tilburg University, School of Economics and Management.
    5. Nicoleta Serban & Huijing Jiang, 2012. "Multilevel Functional Clustering Analysis," Biometrics, The International Biometric Society, vol. 68(3), pages 805-814, September.
    6. Jacky C. K. Ng & Joanne Y. H. Chong & Hilary K. Y. Ng, 2023. "The way I see the world, the way I envy others: a person-centered investigation of worldviews and the malicious and benign forms of envy among adolescents and adults," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    7. Gillian C. Williams & Karen A. Patte & Mark A. Ferro & Scott T. Leatherdale, 2021. "Associations between Longitudinal Patterns of Substance Use and Anxiety and Depression Symptoms among a Sample of Canadian Secondary School Students," IJERPH, MDPI, vol. 18(19), pages 1-14, October.
    8. Opiela, Timothy P., 2004. "Was there an implicit full guarantee at financial institutions in Thailand? Evidence of risk pricing by depositors," Journal of Comparative Economics, Elsevier, vol. 32(3), pages 519-541, September.
    9. Mélissa Lemoine & Gerhard Gmel & Simon Foster & Simon Marmet & Joseph Studer, 2020. "Multiple trajectories of alcohol use and the development of alcohol use disorder: Do Swiss men mature-out of problematic alcohol use during emerging adulthood?," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-17, January.
    10. D. McCullough, B. & Wilson, Berry, 2002. "On the accuracy of statistical procedures in Microsoft Excel 2000 and Excel XP," Computational Statistics & Data Analysis, Elsevier, vol. 40(4), pages 713-721, October.
    11. Sarstedt, Marko & Salcher, André, 2007. "Modellselektion in Finite Mixture PLS-Modellen," Discussion Papers in Business Administration 1394, University of Munich, Munich School of Management.
    12. Lebret, Rémi & Iovleff, Serge & Langrognet, Florent & Biernacki, Christophe & Celeux, Gilles & Govaert, Gérard, 2015. "Rmixmod: The R Package of the Model-Based Unsupervised, Supervised, and Semi-Supervised Classification Mixmod Library," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i06).
    13. anonymous, 1999. "Using subordinated debt as an instrument of market discipline," Staff Studies 172, Board of Governors of the Federal Reserve System (U.S.).
    14. Andrew Clark & Fabien Postel-Vinay, 2009. "Job security and job protection," Oxford Economic Papers, Oxford University Press, vol. 61(2), pages 207-239, April.
    15. Bergey, Paul K. & Ragsdale, Cliff, 2005. "Modified differential evolution: a greedy random strategy for genetic recombination," Omega, Elsevier, vol. 33(3), pages 255-265, June.
    16. Demirguc-Kunt, Asli & Huizinga, Harry, 1999. "Market Discipline and Financial Safety Net Design," CEPR Discussion Papers 2311, C.E.P.R. Discussion Papers.
    17. Ellen Bouchery & Monica Farid, "undated". "Variation in Staff Salary Costs Associated with Characteristics of Substance Use Disorder Treatment Facilities," Mathematica Policy Research Reports 65b1484724354c0ca8270d1c6, Mathematica Policy Research.
    18. Maximilian Beikirch & Torsten Trimborn, 2020. "Novel Insights in the Levy-Levy-Solomon Agent-Based Economic Market Model," Papers 2002.10222, arXiv.org.
    19. Jan De Dreu & Vasso P. Ioannidou, 2005. "The impact of explicit deposit insurance on market discipline," Proceedings 992, Federal Reserve Bank of Chicago.
    20. Wijesundera, Isuri & Halgamuge, Malka N. & Nirmalathas, Ampalavanapillai & Nanayakkara, Thrishantha, 2016. "MFPT calculation for random walks in inhomogeneous networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 986-1002.

    More about this item

    Statistics

    Access and download statistics

    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:csdana:v:38:y:2001:i:1:p:15-48. 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/locate/csda .

    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.