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Showing 1-11 of 11 results
  1. Skew-Normal-Cauchy Linear Mixed Models

    In this work, a flexible class of linear mixed models is introduced by assuming that the random effects and model errors follow a skew-normal-Cauchy...

    F. Kahrari, C. S. Ferreira, R. B. Arellano-Valle in Sankhya B
    Article 19 September 2018
  2. Finite Partially Exchangeable Laws Are Signed Mixtures of Product Laws

    Given a partition { I 1 , …, I k } of {1, …, n }, let ( X 1 , …, X n ) be random vector with each X i taking values in an arbitrary measurable space ...

    Paolo Leonetti in Sankhya A
    Article 09 January 2018
  3. On the correlation structure of exponential order statistics and some extensions

    In this paper, we carry out a theoretical study of the correlation coefficients between exponential order statistics and their monotonicity...

    Y. C. Hung, R. W. Chen, N. Balakrishnan in Mathematical Methods of Statistics
    Article 01 July 2016
  4. Robust suptest for the genetic association study under genetic model uncertainty

    In case-control studies the Cochran-Armitage trend test is powerful for detection of an association between a risk genetic marker and a disease of...

    Article 27 February 2014
  5. On the Distributions of the State Sizes of the Continuous Time Homogeneous Markov System with Finite State Capacities

    In the present paper we study the evolution of a continuous time homogeneous Markov system whose states have finite capacities. We assume that the...

    Article 12 April 2012
  6. On Asymptotic and Strict Monotonicity of a Sharper Lower Bound for Student’s t Percentiles

    Let z α and t ν , α denote the upper 100 α % points of a standard normal and a Student’s t ν distributions respectively. It is well-known that for every...

    Allan Gut, Nitis Mukhopadhyay in Methodology and Computing in Applied Probability
    Article 21 March 2009
  7. On a Sharper Lower Bound for a Percentile of a Student’s t Distribution with an Application

    In this communication, we first compare z α and t ν , α , the upper 100 α % points of a standard normal and a Student’s t ν distributions respectively. We...

    Article 13 March 2009
  8. On the Distributions of the State Sizes of Closed Continuous Time Homogeneous Markov Systems

    The evolution of the state sizes of a closed continuous-time homogeneous Markov system is determined by the convolution of multinomial distributions...

    G. Vasiliadis, G. Tsaklidis in Methodology and Computing in Applied Probability
    Article 05 April 2008
  9. On the Distributions of the State Sizes of Discrete Time Homogeneous Markov Systems

    The evolution of a closed discrete-time homogeneous Markov system (HMS) is determined by the evolution of its state sizes in time. In order to...

    G. Vasiliadis, G. Tsaklidis in Methodology and Computing in Applied Probability
    Article 15 August 2007
  10. Affinity between complex distribution functions

    By analogy to the real case established by Matusita (1955) we introduce the concept of affinity between two complex distribution function. We also...

    Antonio Dorival Campos in Trabajos de Estadistica
    Article 01 September 1987
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