IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v181y2022ics0167715221002224.html
   My bibliography  Save this article

A. de Moivre theorem revisited

Author

Listed:
  • Szewczak, Zbigniew S.

Abstract

Cramér’s large deviations of order o(n) in the operator form are investigated. Consequently a generalization of de Moivre’s local limit theorem for binary Markov chains is obtained in the form with tied up (quenched) ends.

Suggested Citation

  • Szewczak, Zbigniew S., 2022. "A. de Moivre theorem revisited," Statistics & Probability Letters, Elsevier, vol. 181(C).
  • Handle: RePEc:eee:stapro:v:181:y:2022:i:c:s0167715221002224
    DOI: 10.1016/j.spl.2021.109260
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167715221002224
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.spl.2021.109260?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Giuliano-Antonini, Rita & Szewczak, Zbigniew S., 2013. "An almost sure local limit theorem for Markov chains," Statistics & Probability Letters, Elsevier, vol. 83(2), pages 573-579.
    2. Zbigniew S. Szewczak, 2017. "Berry–Esséen theorem for sample quantiles of asymptotically uncorrelated non reversible Markov chains," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(8), pages 3985-4003, April.
    3. Szewczak, Zbigniew S., 2008. "Edgeworth expansions in operator form," Statistics & Probability Letters, Elsevier, vol. 78(12), pages 1583-1592, September.
    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. Giuliano-Antonini, Rita & Szewczak, Zbigniew S., 2013. "An almost sure local limit theorem for Markov chains," Statistics & Probability Letters, Elsevier, vol. 83(2), pages 573-579.
    2. Szewczak, Zbigniew S., 2010. "A limit theorem for random sums modulo 1," Statistics & Probability Letters, Elsevier, vol. 80(9-10), pages 747-751, May.
    3. Pang, Guodong & Zheng, Yi, 2017. "On the functional and local limit theorems for Markov modulated compound Poisson processes," Statistics & Probability Letters, Elsevier, vol. 129(C), pages 131-140.
    4. Szewczak, Zbigniew S., 2012. "On Dobrushin’s inequality," Statistics & Probability Letters, Elsevier, vol. 82(6), pages 1202-1207.

    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:181:y:2022:i:c:s0167715221002224. 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.