Research Article | | Peer-Reviewed

Statistical Properties of Points Between Two Random Points

Received: 17 December 2023    Accepted: 24 January 2024    Published: 5 February 2024
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Abstract

Important inferences in statistics, economics and finance such as mixture distribution fitting in portfolio management are closely related to finding statistical properties of points between two random points. This problem is studied in the literature; however, accurate and fast approximations and Monte Carlo simulations are not well studied. This paper is concerned to finding these properties such as distribution function and moment generating function of points between two random points are derived. To this end, the random linear transformation technique plays important role. Also, the moment generating function is represented as expectation of random variable indexed by a Poisson variable. This note is useful to propose the Monte Carlo simulation of generating function. Two applications in mixture distribution fitting and properties of weighted averages are given. These two applications have been used in the literature for Bayesian bootstrap, change point analysis, DNA segmentations, where all theoretical results may be applied in these fields, directly. Finally, conclusions are presented.

Published in Mathematics Letters (Volume 10, Issue 1)
DOI 10.11648/ml.20241001.12
Page(s) 7-11
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Linear Transformation, Mixture Distribution, Moment Generating Function, Monte Carlo, Random Points

References
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[3] Billingsley, P. Convergence of probability measures. 2010. Wiley. New York. USA.
[4] Bradley D. M., and Gupta, C. R. On the distribution of the sum of n non-identically distributed uniform random variables. Annals of Mathematical Statistics 54. 2002. 689–700.
[5] Csorgo, M. and Horvath, L. Limit theorems in change point analysis. 1997. Wiley, New York. USA.
[6] Fay, M. P. Designing Monte Carlo implementations of permutation or bootstrap hypothesis tests. American Statistician 56. 2002. 63-70.
[7] Ferguson, T. S. (1996). A course in large sample theory. Chapman and Hall. USA.
[8] Fruhwirth-Schnatter, S. Finite mixture and Markov switching models. 2006. Springer. USA.
[9] Glasserman, P. and Kim, K. K. (2008). Beta approximations for bridge sampling. Proceedings of the 2008 Winter Simulation Conference. USA.
[10] Hill, S. D. and Spall, J. C. Stationarity and Convergence of the Metropolis-Hastings algorithm. IEEE Control Systems Magazine 39, 2018. 56–67.
[11] James, F. Statistical methods in experimental physics. Singapore: World Scientific. 2006. Singapore.
[12] Lambert, B. The posterior – the goal of Bayesian inference. A Student's Guide to Bayesian Statistics. Sage Publication. 2018. USA.
[13] Philip, J. Calculation of expected distance on a unit cube. www.math.kth.se/~johanph, Jan 2007.
[14] Ray, R.; Lindsay, B. The topography of multivariate normal mixtures. The Annals of Statistics 33. 2005. 2042–2065.
[15] Solomon, H. Geometric probability. Society for Industrial and Applied Mathematics. 1978. USA.
[16] Strutz, T. Data fitting and uncertainty (A practical introduction to weighted least squares and beyond). 2010. Springer. USA.
[17] Zivot, E. and Wang, J. Modeling financial time series with S-PLUS. 2018. Springer. USA.
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    Habibi, R. (2024). Statistical Properties of Points Between Two Random Points. Mathematics Letters, 10(1), 7-11. https://doi.org/10.11648/ml.20241001.12

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    Habibi R. Statistical Properties of Points Between Two Random Points. Math Lett. 2024;10(1):7-11. doi: 10.11648/ml.20241001.12

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  • @article{10.11648/ml.20241001.12,
      author = {Reza Habibi},
      title = {Statistical Properties of Points Between Two Random Points},
      journal = {Mathematics Letters},
      volume = {10},
      number = {1},
      pages = {7-11},
      doi = {10.11648/ml.20241001.12},
      url = {https://doi.org/10.11648/ml.20241001.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.ml.20241001.12},
      abstract = {Important inferences in statistics, economics and finance such as mixture distribution fitting in portfolio management are closely related to finding statistical properties of points between two random points. This problem is studied in the literature; however, accurate and fast approximations and Monte Carlo simulations are not well studied. This paper is concerned to finding these properties such as distribution function and moment generating function of points between two random points are derived. To this end, the random linear transformation technique plays important role. Also, the moment generating function is represented as expectation of random variable indexed by a Poisson variable. This note is useful to propose the Monte Carlo simulation of generating function. Two applications in mixture distribution fitting and properties of weighted averages are given. These two applications have been used in the literature for Bayesian bootstrap, change point analysis, DNA segmentations, where all theoretical results may be applied in these fields, directly. Finally, conclusions are presented.
    },
     year = {2024}
    }
    

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  • TY  - JOUR
    T1  - Statistical Properties of Points Between Two Random Points
    AU  - Reza Habibi
    Y1  - 2024/02/05
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    N1  - https://doi.org/10.11648/ml.20241001.12
    DO  - 10.11648/ml.20241001.12
    T2  - Mathematics Letters
    JF  - Mathematics Letters
    JO  - Mathematics Letters
    SP  - 7
    EP  - 11
    PB  - Science Publishing Group
    SN  - 2575-5056
    UR  - https://doi.org/10.11648/ml.20241001.12
    AB  - Important inferences in statistics, economics and finance such as mixture distribution fitting in portfolio management are closely related to finding statistical properties of points between two random points. This problem is studied in the literature; however, accurate and fast approximations and Monte Carlo simulations are not well studied. This paper is concerned to finding these properties such as distribution function and moment generating function of points between two random points are derived. To this end, the random linear transformation technique plays important role. Also, the moment generating function is represented as expectation of random variable indexed by a Poisson variable. This note is useful to propose the Monte Carlo simulation of generating function. Two applications in mixture distribution fitting and properties of weighted averages are given. These two applications have been used in the literature for Bayesian bootstrap, change point analysis, DNA segmentations, where all theoretical results may be applied in these fields, directly. Finally, conclusions are presented.
    
    VL  - 10
    IS  - 1
    ER  - 

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Author Information
  • Banking Department, Iran Banking Institute, Central Bank of Iran, Tehran, Iran

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