• 제목/요약/키워드: random

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A CLT FOR WEAKLY DEPENDENT RANDOM FIELDS

  • Jeon, Tae-Il
    • 대한수학회논문집
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    • 제14권3호
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    • pp.597-609
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    • 1999
  • In this article we prove a central limit theorem for strictly stationary weakly dependent random fields with some interlaced mix-ing conditions. Mixing coefficients are not assumed. The result it basically the same to Peligrad([4]), which is CLT weakly depen-dent arrays of random variables. The proof is quite similar to the of Peligrad.

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A NOTE ON CONNECTEDNESS OF QUASI-RANDOM GRAPHS

  • Lee, Chang-Woo
    • 대한수학회논문집
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    • 제14권2호
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    • pp.295-299
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    • 1999
  • Every quasi-random graph G(n) on n vertices consists of a giant component plus o(n) vertices, and every quasi-random graph G(n) with minimum degree (1+o(1))\ulcorner is connected.

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Reliability P(Y

  • Woo, Jung-Soo
    • Journal of the Korean Data and Information Science Society
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    • 제18권3호
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    • pp.783-792
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    • 2007
  • We consider estimation of reliability P(Y

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Reliability in Two Independent Uniform and Power Function-Half Normal Distribution

  • Woo, Jung-Soo
    • Communications for Statistical Applications and Methods
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    • 제15권3호
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    • pp.325-332
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    • 2008
  • We consider estimation of reliability P(Y < X) and distribution of the ratio when X and Y are independent uniform random variable and power function random variable, respectively and also consider the estimation problem when X and Y are independent uniform random variable and a half-normal random variable, respectively.

Comparison of Genetic Parameter Estimates of Total Sperm Cells of Boars between Random Regression and Multiple Trait Animal Models

  • Oh, S.-H.;See, M.T.
    • Asian-Australasian Journal of Animal Sciences
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    • 제21권7호
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    • pp.923-927
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    • 2008
  • The objective of this study was to compare random regression model and multiple trait animal model estimates of the (co) variance of total sperm cells over the active lifetime of AI boars. Data were provided by Smithfield Premium Genetics (Rose Hill, NC). Total number of records and animals for the random regression model were 19,629 and 1,736, respectively. Data for multiple trait animal model analyses were edited to include only records produced at 9, 12, 15, 18, 21, 24, and 27 months of age. For the multiple trait method estimates of genetic and residual variance for total sperm cells were heterogeneous among age classifications. When comparing multiple trait method to random regression, heritability estimates were similar except for total sperm cells at 24 months of age. The multiple trait method also resulted in higher estimates of heritability of total sperm cells at every age when compared to random regression results. Random regression analysis provided more detail with regard to changes of variance components with age. Random regression methods are the most appropriate to analyze semen traits as they are longitudinal data measured over the lifetime of boars.