• Title/Summary/Keyword: value distribution

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CHARACTERIZATION OF STANDARD EXTREME VALUE DISTRIBUTIONS USING RECORDS

  • Skrivankova, Valeria;Juhas, Matej
    • Journal of the Chungcheong Mathematical Society
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    • v.24 no.3
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    • pp.401-407
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    • 2011
  • The paper deals with characterization of standard Gumbel distribution and standard $Fr{\acute{e}}chet$ distribution and was motivated by [4], where the Weibull distribution is characterized. We present criterions using the independence of some suitable functions of lower records in a sequence of independent identically distributed random variables $\{X_n,\;n{\geq}1\}$.

Estimation for the Extreme Value Distribution Based on Multiply Type-II Censored Samples

  • Kang, Suk-Bok
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.3
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    • pp.629-638
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    • 2005
  • We derive the approximate maximum likelihood estimators of the scale parameter and location parameter of the extreme value distribution based on multiply Type-II censored samples. We compare the proposed estimators in the sense of the mean squared error for various censored samples.

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Goodness-of-fit Test for the Extreme Value Distribution Based on Multiply Type-II Censored Samples

  • Kang, Suk-Bok;Cho, Young-Seuk;Han, Jun-Tae
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.4
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    • pp.1441-1448
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    • 2008
  • We propose the modified quantile-quantile (Q-Q) plot using the approximate maximum likelihood estimators and the modified normalized sample Lorenz curve (NSLC) plot for the extreme value distribution based on multiply Type-II censored samples. Using two example data sets, we picture the modified Q-Q plot and the modified NSLC plot.

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Estimation for the Generalized Extreme Value Distribution Based on Multiply Type-II Censored Samples

  • Han, Jun-Tae;Kang, Suk-Bok
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.3
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    • pp.817-826
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    • 2007
  • In this paper, we derive the approximate maximum likelihood estimators of the scale parameter and the location parameter in a generalized extreme value distribution under multiply Type-II censoring by the approximate maximum likelihood estimation method. We compare the proposed estimators in the sense of the mean squared error for various censored samples.

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Estimation for the extreme value distribution under progressive Type-I interval censoring

  • Nam, Sol-Ji;Kang, Suk-Bok
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.3
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    • pp.643-653
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    • 2014
  • In this paper, we propose some estimators for the extreme value distribution based on the interval method and mid-point approximation method from the progressive Type-I interval censored sample. Because log-likelihood function is a non-linear function, we use a Taylor series expansion to derive approximate likelihood equations. We compare the proposed estimators in terms of the mean squared error by using the Monte Carlo simulation.

The Economic Value Analysis of the Scientific and Technological Information

  • Kim, Yon-Hyong
    • Communications for Statistical Applications and Methods
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    • v.11 no.1
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    • pp.107-120
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    • 2004
  • The purposes of this study are to analyze economic value of science technology information for each distribution center First, the total economic value of each distribution center based on the value of time can be estimated to be 714,384,529 won, which can be compared with that of KISTI's 85,674,153,126 won. Second, the total economic value of each distribution center based on addition time can be estimated to be 1,426,344,558,446 won. And KISTI's 173,915,322,076 won appears to be the highest one as a single unit. Third, the study results can provide an objective standard for the policies of KISTI based on the data collected in this study.

A Study on Consumer Value and Corporate Social Responsibility Distribution Activities

  • Lee, Jae-Min
    • Journal of Distribution Science
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    • v.17 no.4
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    • pp.17-26
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    • 2019
  • Purpose - Today's companies concentrate intensively on building consumer value and corporate reputation for continuing growth and advancement in an ever-changing global business management environment. This research intended to study the correlation between consumer value and corporate social responsibility (CSR) activities in building corporate reputation with consumers. Research design, data, and methodology - Online and offline surveys were conducted among male and female adults across Korea. Surveys were conducted for three weeks from August 21, 2018 to September 8, 2018. The samples consisted of 350 offline and 112 online surveys, and a combined total of 462 samples was used for final analysis. Result - Higher consumer value means a greater chance that consumers will select that company's products over those of competitors. For competitive advantage purposes, companies use various consumer management strategies to bolster consumer value and corporate reputation with consumers. Conclusions - Brand assets are subject to ethical responsibility, which is a dimension of corporate social responsibility. Of note, one relevant finding about brand assets (similar to findings in previous research) is the existence of confusion about brand recognition and brand image as perceived by customers.

A Distribution of Terminal Time Value and Running Maximum of Two-Dimensional Brownian Motion with an Application to Barrier Option

  • Lee, Hang-Suck
    • Proceedings of the Korean Statistical Society Conference
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    • 2003.10a
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    • pp.73-78
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    • 2003
  • This presentation derives a distribution function of the terminal value and running maximum of two-dimensional Brownian motion {X(t) = (X$_1$(t), X$_2$(T))', t > 0}. One random variable of the joint distribution is the terminal time value of the Brownian motion {X$_1$(t), t > 0}. The other random variable is the partial-time running maximum of the Brownian motion {X$_2$(t), t > 0}. With this distribution function, this presentation also derives an explicit pricing formula for a barrier option whose monitoring period of the option starts at an arbitrary date and ends at another arbitrary date before maturity.

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The Impact of Service Quality on Customer Satisfaction, Service Value, and Store Loyalty in a University-Based Convenience Store

  • Kim, Jong-Lak;Lee, Young-Chul;Han, Sang-Ho;Lim, Su-Ji
    • Journal of Distribution Science
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    • v.11 no.5
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    • pp.5-15
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    • 2013
  • Purpose - The purpose of this study is to investigate the impact of the service quality of a university-based convenience store on consumer satisfaction, service value, and customer loyalty. Research design, data, and methodology - The questionnaire was developed by using the modified and supplementary questions based on the KD-SQS model. We used the SPSS/PC 18.0 and AMOS 18.0 statistical packages to analyze the results. For validating the research hypothesis and the structural relationship of the research model, path analysis was used. Results - The overall results of this study are as follows. We found that benefits, promotion, and convenience had a significant impact on two variables: customer satisfaction and service value. Conclusions - The basic benefits, promotions, and convenient facilities in the university-based convenience store have already received favorable reviews. Therefore, for improving customer satisfaction, it is important to improve the reliability of service, quality of human interaction, and customer service.

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Parametric nonparametric methods for estimating extreme value distribution (극단값 분포 추정을 위한 모수적 비모수적 방법)

  • Woo, Seunghyun;Kang, Kee-Hoon
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.1
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    • pp.531-536
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    • 2022
  • This paper compared the performance of the parametric method and the nonparametric method when estimating the distribution for the tail of the distribution with heavy tails. For the parametric method, the generalized extreme value distribution and the generalized Pareto distribution were used, and for the nonparametric method, the kernel density estimation method was applied. For comparison of the two approaches, the results of function estimation by applying the block maximum value model and the threshold excess model using daily fine dust public data for each observatory in Seoul from 2014 to 2018 are shown together. In addition, the area where high concentrations of fine dust will occur was predicted through the return level.