• Title/Summary/Keyword: Kappa distribution

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Estimation of Design Floods Using 3 and 4 Parameter Kappa Distributions (3변수 및 4변수 Kappa 분포에 의한 설계홍수량 추정)

  • Maeng, Seung-Jin;Kim, Byeoung-Jun;Kim, Hyung-San
    • Journal of The Korean Society of Agricultural Engineers
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    • v.51 no.4
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    • pp.49-55
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    • 2009
  • This paper is to induce design floods through L-moment with 3 and 4 parameter Kappa distributions including test of independence by Wald-Wolfowitz, homogeneity by Mann-Whitney and outlier by Grubbs-Beck on annual maximum flood flows at 9 water level gaging stations in Han, Nakdong and Geum Rivers of South Korea. After analyzing appropriateness of the data of annual maximum flood flows by Kolmogorov-Smirnov test, 3 and 4 Kappa distributions were applied and the appropriateness was judged. The parameters of 3 and 4 Kappa distributions were estimated by L-moment method and the design floods by water level gaging station was calculated. Through the comparative analysis using the relative root mean square errors (RRMSE) and relative absolute errors (RAE) calculated by 3 and 4 parameter Kappa distributions with 4 plotting position formulas, the result showed that the design floods by 4 parameter Kappa distribution with Weibull and Cunnane plotting position formulas are closer to the observed data than those obtained by 3 parameter Kappa distribution with 4 plotting position formulas and 4 parameter Kappa distribution with Hazen and Gringorten plotting position formulas.

LH-Moments of Some Distributions Useful in Hydrology

  • Murshed, Md. Sharwar;Park, Byung-Jun;Jeong, Bo-Yoon;Park, Jeong-Soo
    • Communications for Statistical Applications and Methods
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    • v.16 no.4
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    • pp.647-658
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    • 2009
  • It is already known from the previous study that flood seems to have heavier tail. Therefore, to make prediction of future extreme label, some agreement of tail behavior of extreme data is highly required. The LH-moments estimation method, the generalized form of L-moments is an useful method of characterizing the upper part of the distribution. LH-moments are based on linear combination of higher order statistics. In this study, we have formulated LH-moments of five distributions useful in hydrology such as, two types of three parameter kappa distributions, beta-${\kappa}$ distribution, beta-p distribution and a generalized Gumbel distribution. Using LH-moments reduces the undue influences that small sample may have on the estimation of large return period events.

Flood Frequency Analysis by Wakeby and Kappa Distributions Using L-Moments (Wakeby 및 Kappa 분포의 L-모멘트법에 의한 홍수빈도분석)

  • Maeng, Seung-Jin;Lee, Soon-Hyuk;Lee, Hyeon-Gyu;Ryu, Kyong-Sik;Song, Gi-Heon
    • Journal of The Korean Society of Agricultural Engineers
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    • v.48 no.5
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    • pp.17-27
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    • 2006
  • The objective of this study is to induce the design floods by the methodology of L-moment including test of homogeneity, independence and outlier of the data of annual maximum flood flows for 12 water level gaging stations of South Korea. To select appropriate distribution of the data for annual maximum flood flows, the distributions of Wakeby and Kappa are applied and the appropriateness is judged by Kolmogorov-smirnov (K-S) test. The parameters of selected Wakeby and Kappa distributions are calculated by the method of L-moment and the design floods are induced. Through the comparative analysis using the relative root mean square errors (RRMSE) and relative absolute errors (RAE) of design floods, the result shows that the design floods by Wakeby distribution are closer to the observed data than those obtained by the Kappa distribution.

Calculation of Kappa-Averaged Collision Strengths of Silicon VIII Ion for a Non-Maxwellian Distribution

  • He, Jian;Zhang, Qingguo
    • Journal of the Korean Physical Society
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    • v.73 no.9
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    • pp.1310-1314
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    • 2018
  • Non-Maxwellian distributions are found in the laboratory and space plasmas. For an accurate study of plasmas, the Kappa-averaged collision strengths of silicon VIII ion for $4^0S_{3/2}-2^0D_{3/2}$, $4^0S_{3/2}-2^0D_{5/2}$ and $2^0D_{3/2}-2^0D_{5/2}$ transitions are calculated for Kappa distributions with ${\kappa}=2$, 3 and 5 and for temperatures from $10^{4.5}K$ to $10^{6.5}K$. Results indicate that significant differences occur between the averaged collision strengths for the Maxwellian and the Kappa distributions. Fuythermore, and for each ${\kappa}$ value, the Kappa-averaged collision strengths vary in a complicated way with temperature for the $4^0S_{3/2}-2^0D_{3/2}$ and $4^0S_{3/2}-2^0D_{5/2}$ transitions while they decrease with increasing temperature for the $2^0D_{3/2}-2^0D_{5/2}$ transition. The calculation is significant if plasmas are to be studied for a non-Maxwellian distribution.

Comparison of Two Speech Estimation Algorithms Based on Generalized-Gamma Distribution Applied to Speech Recognition in Car Noisy Environment (자동차 잡음환경에서의 음성인식에 적용된 두 종류의 일반화된 감마분포 기반의 음성추정 알고리즘 비교)

  • Kim, Hyoung-Gook;Lee, Jin-Ho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.8 no.4
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    • pp.28-32
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    • 2009
  • This paper compares two speech estimators under a generalized Gamma distribution for DFT-based single-microphone speech enhancement methods. For the speech enhancement, the noise estimation based on recursive averaging spectral values by spectral minimum noise is applied to two speech estimators based on the generalized Gamma distribution using $\kappa$=1 or $\kappa$=2. The performance of two speech enhancement algorithms is measured by recognition accuracy of automatic speech recognition(ASR) in car noisy environment.

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A New Measure of Agreement to Resolve the Two Paradoxes of Cohen's Kappa (COHEN의 합치도의 두 가지 역설을 해결하기 위한 새로운 합치도의 제안)

  • Park, Mi-Hee;Park, Yong-Gyu
    • The Korean Journal of Applied Statistics
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    • v.20 no.1
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    • pp.117-132
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    • 2007
  • In a $2\times2$ table showing binary agreement between two raters, it is known that Cohen's $\kappa$, a chance-corrected measure of agreement, has two paradoxes. $\kappa$ is substantially sensitive to raters' classification probabilities(marginal probabilities) and does not satisfy conditions as a chance-corrected measure of agreement. However, $\kappa$ and other established measures have a reasonable and similar value when each marginal distribution is close to 0.5. The objectives of this paper are to present a new measure of agreement, H, which resolves paradoxes of $\kappa$ by adjusting unbalanced marginal distributions and to compare the proposed measure with established measures through some examples.

The study for NHPP Software Reliability Model based on Kappa(2) distribution (Kappa(2) NHPP에 의한 소프트웨어 신뢰성 모형에 관한 연구)

  • Kim, Hee-Cheul
    • Journal of the Korea Computer Industry Society
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    • v.6 no.5
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    • pp.689-696
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    • 2005
  • Finite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. In this paper, Goel-Okumoto and Yamada-Ohba-Osaki model was reviewed, proposes the Kappa(2) reliability model, which can capture the nomotonic decreasing nature of the failure occurrence rate per fault. Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on sum of the squared errors and Kolmogorov distance, for the sake of efficient model, was employed. Analysis of failure using real data set, SYS2(Allen P.Nikora and Michael R.Lyu), for the sake of proposing two parameter of the Kappa distribution, was employed. This analysis of failure data compared with the Kappa model and the existing model using arithmetic and Laplace trend tests, bias tests is presented.

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A Study on Comparison of Generalized Kappa Statistics in Agreement Analysis

  • Kim, Min-Seon;Song, Ki-Jun;Nam, Chung-Mo;Jung, In-Kyung
    • The Korean Journal of Applied Statistics
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    • v.25 no.5
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    • pp.719-731
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    • 2012
  • Agreement analysis is conducted to assess reliability among rating results performed repeatedly on the same subjects by one or more raters. The kappa statistic is commonly used when rating scales are categorical. The simple and weighted kappa statistics are used to measure the degree of agreement between two raters, and the generalized kappa statistics to measure the degree of agreement among more than two raters. In this paper, we compare the performance of four different generalized kappa statistics proposed by Fleiss (1971), Conger (1980), Randolph (2005), and Gwet (2008a). We also examine how sensitive each of four generalized kappa statistics can be to the marginal probability distribution as to whether marginal balancedness and/or homogeneity hold or not. The performance of the four methods is compared in terms of the relative bias and coverage rate through simulation studies in various scenarios with different numbers of raters, subjects, and categories. A real data example is also presented to illustrate the four methods.

Kullback-Leibler Information in View of an Extended Version of κ-Records

  • Ahmadi, Mosayeba;Mohtashami Borzadaran, G.R.
    • Communications for Statistical Applications and Methods
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    • v.20 no.1
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    • pp.1-13
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    • 2013
  • This paper introduces an extended version of ${\kappa}$-records. Kullback-Leibler (K-L) information between two generalized distributions arising from ${\kappa}$-records is derived; subsequently, it is shown that K-L information does not depend on the baseline distribution. The behavior of K-L information for order statistics and ${\kappa}$-records, is studied. The exact expressions for K-L information between distributions of order statistics and upper (lower) ${\kappa}$-records are obtained and some special cases are provided.