IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v57y2001i3p681-688.html
   My bibliography  Save this article

A Mixture Model for Occupational Exposure Mean Testing with a Limit of Detection

Author

Listed:
  • Douglas J. Taylor
  • Lawrence L. Kupper
  • Stephen M. Rappaport
  • Robert H. Lyles

Abstract

No abstract is available for this item.

Suggested Citation

  • Douglas J. Taylor & Lawrence L. Kupper & Stephen M. Rappaport & Robert H. Lyles, 2001. "A Mixture Model for Occupational Exposure Mean Testing with a Limit of Detection," Biometrics, The International Biometric Society, vol. 57(3), pages 681-688, September.
    • Handle: RePEc:bla:biomet:v:57:y:2001:i:3:p:681-688
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2001.00681.x
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Paarsch, Harry J., 1984. "A Monte Carlo comparison of estimators for censored regression models," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 197-213.
    2. Xiao-Hua Zhou & Wanzhu Tu, 2000. "Confidence Intervals for the Mean of Diagnostic Test Charge Data Containing Zeros," Biometrics, The International Biometric Society, vol. 56(4), pages 1118-1125, December.
    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. Robert H. Lyles & Jovonne K. Williams & Rutt Chuachoowong, 2001. "Correlating Two Viral Load Assays with Known Detection Limits," Biometrics, The International Biometric Society, vol. 57(4), pages 1238-1244, December.
    2. Hua He & Xuenan Mi & Jerry Cornell & Wan Tang & Tanika Kelly & Hui Shen & Hongwen Deng & Yan Du, 2020. "Statistical Issues on Analysis of Censored Data Due to Detection Limit," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 9(4), pages 1-49, July.
    3. Pimentel, Ronald S. & Niewiadomska-Bugaj, Magdalena & Wang, Jung-Chao, 2015. "Association of zero-inflated continuous variables," Statistics & Probability Letters, Elsevier, vol. 96(C), pages 61-67.

    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. Chen, Song Xi & Qin, Jing, 2003. "Empirical likelihood-based confidence intervals for data with possible zero observations," Statistics & Probability Letters, Elsevier, vol. 65(1), pages 29-37, October.
    2. Brunner, Eric & Sonstelie, Jon, 2003. "School finance reform and voluntary fiscal federalism," Journal of Public Economics, Elsevier, vol. 87(9-10), pages 2157-2185, September.
    3. Xue, Hong & Mainville, Denise Y. & You, Wen & Nayga, Rodolfo M., Jr., 2009. "Nutrition Knowledge, Sensory Characteristics and Consumers’ Willingness to Pay for Pasture-Fed Beef," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49277, Agricultural and Applied Economics Association.
    4. Golan, Amos & Judge, George & Perloff, Jeffrey, 1997. "Estimation and inference with censored and ordered multinomial response data," Journal of Econometrics, Elsevier, vol. 79(1), pages 23-51, July.
    5. Mark Ottoni Wilhelm, 2008. "Practical Considerations for Choosing Between Tobit and SCLS or CLAD Estimators for Censored Regression Models with an Application to Charitable Giving," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(4), pages 559-582, August.
    6. P. Čížek & S. Sadikoglu, 2018. "Bias-corrected quantile regression estimation of censored regression models," Statistical Papers, Springer, vol. 59(1), pages 215-247, March.
    7. Zhou, Xiuqing & Wang, Jinde, 2005. "A genetic method of LAD estimation for models with censored data," Computational Statistics & Data Analysis, Elsevier, vol. 48(3), pages 451-466, March.
    8. Khan, Shakeeb & Powell, James L., 2001. "Two-step estimation of semiparametric censored regression models," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 73-110, July.
    9. Schunk Daniel, 2009. "What Determines Household Saving Behavior: An Examination of Saving Motives and Saving Decisions 06.01.2009," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 229(4), pages 467-491, August.
    10. Saulo, Helton & Vila, Roberto & Cordeiro, Shayane S. & Leiva, Víctor, 2023. "Bivariate symmetric Heckman models and their characterization," Journal of Multivariate Analysis, Elsevier, vol. 193(C).
    11. Aldo M. Garay & Victor H. Lachos & Heleno Bolfarine, 2015. "Bayesian estimation and case influence diagnostics for the zero-inflated negative binomial regression model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(6), pages 1148-1165, June.
    12. W. H. Furtan & J. Sauer, 2008. "Determinants of Food Industry Performance: Survey Data and Regressions for Denmark," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(3), pages 555-573, September.
    13. Jonsson, Robert, 2008. "When does Heckman’s two-step procedure for censored data work and when does it not?," Research Reports 2008:2, University of Gothenburg, Statistical Research Unit, School of Business, Economics and Law.
    14. Steven Caudill, 2012. "A partially adaptive estimator for the censored regression model based on a mixture of normal distributions," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(2), pages 121-137, June.
    15. Ross M. Stolzenberg & Daniel A. Relles, 1990. "Theory Testing in a World of Constrained Research Design," Sociological Methods & Research, , vol. 18(4), pages 395-415, May.
    16. J.-M. Daussin-Benichou & A. Mauroux, 2014. "Turning the heat up. How sensitive are households to fiscal incentives on energy efficiency investments?," Documents de Travail de l'Insee - INSEE Working Papers g2014-06, Institut National de la Statistique et des Etudes Economiques.
    17. Randall A. Lewis & James B. McDonald, 2014. "Partially Adaptive Estimation of the Censored Regression Model," Econometric Reviews, Taylor & Francis Journals, vol. 33(7), pages 732-750, October.
    18. Kossova, Elena & Potanin, Bogdan, 2018. "Heckman method and switching regression model multivariate generalization," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 50, pages 114-143.
    19. Franco Peracchi, 1988. "Bounded Influence Estimators for the Censored Regression Model," UCLA Economics Working Papers 487, UCLA Department of Economics.
    20. He, Hua & Huang, Chung L. & Houston, Jack E., 1995. "U.S. Household Consumption Of Fresh Fruits," Journal of Food Distribution Research, Food Distribution Research Society, vol. 26(2), pages 1-11, September.

    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:bla:biomet:v:57:y:2001:i:3:p:681-688. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0006-341X .

    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.