• Title/Summary/Keyword: Distribution Department

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Unbiased Estimators of Standard Deviation in a Truncated Arcsine Distribution

  • Woo, Jung-soo;Kim, Jung-dae;Lee, Chang-soo
    • Communications for Statistical Applications and Methods
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    • v.4 no.2
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    • pp.507-514
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    • 1997
  • Three kinds of unbiased estimators of standard deviation in a truncated arcsine distribution based on the quasi-range, the jackknife quasi-range, and the angle jackknife range are proposed and numerically compared each other in a sense of MSE.

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Noninformative Priors for the Intraclass Coefficient of a Symmetric Normal Distribution

  • Chang, In-Hong;Kim, Byung-Hwee
    • Proceedings of the Korean Statistical Society Conference
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    • 2003.10a
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    • pp.15-19
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    • 2003
  • In this paper, we develop the Jeffreys' prior, reference priors and the probability matching priors for the intraclass correlation coefficient of a symmetric normal distribution. We next verify propriety of posterior distributions under those noninformative priors. We examine whether reference priors satisfy the probability matching criterion.

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Approximate MLE for Singly Truncated Normal Distribution

  • Suk-Bok Kang;Young-Suk Cho
    • Communications for Statistical Applications and Methods
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    • v.5 no.3
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    • pp.879-885
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    • 1998
  • In this paper, we propose the approximate maximum likelihood estimators (AMLE) of the location and the scale parameter of the singly left truncated normal distribution. We compare the proposed estimators with the simpler estimators (SE) in terms of the mean squared error (MSE) through Monte Carlo methods.

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Recurrence Relations in the Transformed Exponential Distributions

  • Choi, Jeen-Kap;Mo, Kap-Jong
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.4
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    • pp.1031-1044
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    • 2003
  • In this paper, we establish some recurrence relations of the moments, product moments, percentage points, and modes of order statistics from the transformed exponential distribution.

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Jackknife Estimates for Parameter Changes in the Weibull Distribution

  • Jungsoo;Changsoo
    • Communications for Statistical Applications and Methods
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    • v.7 no.1
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    • pp.199-210
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    • 2000
  • We shall propose several estimators for the shape and scale parameters I the Weibull distribution based upon the complete or truncated samples when both parameters are functions of a known exposure level and study properties for proposed several estimators

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Implementation of Estimation and Inference on the Web

  • Kang, Heemo;Sim, Songyong
    • Communications for Statistical Applications and Methods
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    • v.7 no.3
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    • pp.913-926
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    • 2000
  • An electronic statistics text on the web is implemented. The introduced text provide interactive instructions on the statistical estimation and inference. As a by-product, we also provide a calculation of quantiles and p-value of t-distribution and standard normal distribution. This program was written in JAVA programming language.

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A Note on Smoothing Distribution Function Estimation

  • Chu, In-Sun;Choi, Jae-Ryong
    • Communications for Statistical Applications and Methods
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    • v.4 no.3
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    • pp.911-915
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    • 1997
  • The purpose of this paper is to consider the problem of selection of optimal smoothing parameter for kernel-type distribution function estimator, which asymptotically minimizes mean Hellinger distance.

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