• Title/Summary/Keyword: Normal Distribution

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PICARD VALUES AND NORMALITY CRITERION

  • Fang, Ming-Liang
    • Bulletin of the Korean Mathematical Society
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    • v.38 no.2
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    • pp.379-387
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    • 2001
  • In this paper, we study the value distribution of meromorphic functions and prove the following theorem: Let f(z) be a transcendental meromorphic function. If f and f'have the same zeros, then f'(z) takes any non-zero value b infinitely many times.

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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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On the Distribution of the Scaled Residuals under Multivariate Normal Distributions

  • Cheolyong Park
    • Communications for Statistical Applications and Methods
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    • v.5 no.3
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    • pp.591-597
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    • 1998
  • We prove (at least empirically) that some forms of the scaled residuals calculated from i.i.d. multivariate normal random vectors are ancillary. We further show that, if the scaled residuals are ancillary, then they have the same distribution whatever form of rotation is rosed to remove sample correlations.

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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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ESTIMATION IN A MIXTURE NORMAL DISTRIBUTION

  • Jee-Seon Baik
    • Journal of applied mathematics & informatics
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    • v.4 no.1
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    • pp.223-234
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    • 1997
  • By Stochastic simulations we discuss the fitness of a mix-ture normal distribution to observations from general mixture distribu-tions using the MLE method and the EM algorithm. We calulate the probability of misclassifying objects and estimate the optimal number of mixture components with mutual information measure.

A Note on the Covariance Matrix of Order Statistics of Standard normal Observations

  • Lee, Hak-Myung
    • Communications for Statistical Applications and Methods
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    • v.7 no.1
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    • pp.285-290
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    • 2000
  • We noted a property of a stationary distribution on the matrix C, which is the covariance matrix of order statistics of standard normal distribution That is the sup norm of th powers of C is ee' divided by its dimension. The matrix C can be taken as a transition probability matrix in an acyclic Markov chain.

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HIGH RESOLUTION OBSERVATIONS OF MOLECULAR GAS DISTRIBUTION IN GALAXIES

  • YUN MIN S.
    • Journal of The Korean Astronomical Society
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    • v.29 no.spc1
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    • pp.159-160
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    • 1996
  • Recent high resolution CO observations of normal and starburst galaxies at Owens Valley Millimeter Array are summarized. While normal disk galaxies generally show exponential distribution which follows the optical blue light, starburst galaxies are often characterized by a compact ($\~$1 kpc) nuclear complex whose surface gas mass density is strongly correlated with the observed large infrared luminosity and thus the ongoing massive star formation.

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Statistical Tests for Process Capability Index Cp Based on Mixture Normal Process (혼합 정규공정 하에서의 공정능력지수 Cp에 대한 가설검정)

  • Cho, Joong Jae;Heo, Tae-Young;Jeong, Jun Chel
    • Journal of Korean Society for Quality Management
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    • v.42 no.2
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    • pp.209-219
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    • 2014
  • Purpose: The purpose of this study is to develop the statistical test for process capability index $C_p$ based on mixture normal process. Methods: This study uses Bootstrap method to calculate the approximate P-value for various simulation conditions under mixture normal process. Results: This study indicates that our proposed method is effective way to test for process capability index $C_p$ based on mixture normal process. Conclusion: This study finds out that statistical test for process capability index $C_p$ based on mixture normal process is useful for real application.

Projected Circular and l-Axial Skew-Normal Distributions

  • Seo, Han-Son;Shin, Jong-Kyun;Kim, Hyoung-Moon
    • The Korean Journal of Applied Statistics
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    • v.22 no.4
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    • pp.879-891
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    • 2009
  • We developed the projected l-axial skew-normal(LASN) family of distributions for I-axial data. The LASN family of distributions contains the semicircular skew-normal(SCSN) and the circular skew-normal(CSN) families of distributions as special cases. The LASN densities are similar to the wrapped skew-normal densities for the small values of the scale parameter. However CSN densities have more heavy tails than those of the wrapped skew-normal densities on the circle. Furthermore the CSN densities have two modes as the scale parameter increases. The LASN distribution has very convenient mathematical features. We extend the LASN family of distributions to a bivariate case.

Research Results and Trends Analysis on Process Control Charts for Non-normal Process (비정규 공정을 위한 공정관리도의 연구동향 분석)

  • Kim, Jong-Gurl;Kim, Chang-Su;Um, Sang-Joon;Kim, Hyung-Man;Choi, Seong-Won;Jeong, Dong-Gu
    • Proceedings of the Safety Management and Science Conference
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    • 2013.04a
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    • pp.547-556
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    • 2013
  • Control chart is most widely used in SPC(Statistical Process Control), Recently it is a critical issue that the standard control chart is not suitable to non-normal process with very small percent defective. Especially, this problem causes serious errors in the reliability procurement, such as semiconductor, high-precision machining and chemical process etc. Procuring process control technique for non-normal process with very small percent defective and perturbation is becoming urgent. Control chart technique in non-normal distribution become very important issue. In this paper, we investigate on research trend of control charts under non-normal distribution.

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