• Title/Summary/Keyword: Distribution data

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PWF-GPH method for the statistical analysis of failure time data (고장시간 자료의 통계적 분석을 위한 PWF-GPH 방법)

  • 김선영;윤복식
    • Journal of the military operations research society of Korea
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    • v.22 no.1
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    • pp.114-128
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    • 1996
  • In this paper, a life distribution fitting method based on generalized phase-type distributions(GPH) is presented. By fitting the life distribution to a GPH, we can utilize various useful properties of the GPH. Two different approaches are used according to the properties of the given failure time data. One is an approximation to a GPH through the piecewise Weibull failure rate(PWF) model and the other is a direct approximation to a GPH using the empirical distribution function. Two numerical examples are also presented. In the first example, both of the two approaches are utilized and compared for an incomplete data set. And in the second example, the direct approximation method from an empirical distribution is utilized for the analysis of a complete data set. In both cases, we could confirm the validity of the proposed method.

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The FRTU-Based Intelligent Fault Location Determination Strategy in Ubiquitous Based Distribution Systems

  • Ko, Yun-Seok
    • Journal of Electrical Engineering and Technology
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    • v.3 no.2
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    • pp.192-198
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    • 2008
  • This paper proposes a FRTU-based intelligent fault distance determination strategy in which each FRTU is able to avoid multiple estimations and reduce the level of estimation error by utilizing heuristic rules driven by voltage and current information collected by 1:1 communication with other FRTUs from the same zone in a ubiquitous-based distribution system. In the proposed method, each FRTU, at first, determines a fault zone and a fault path on the faulted zone based on the proposed heuristic rules which use its current data and the voltage data of its neighboring FRTUs as input data. Next, it determines the fault distance from its position based on the fault current estimated from the current data of the neighboring FRTUs. Finally, in order to prove the effectiveness of the proposed method, the diverse fault cases are simulated in several positions of the typical distribution system using the EMTP.

Estimation of water quality distribution in freshing reservoir by satellite images

  • Torii, Kiyoshi;You, Jenn-Ming;Chiba, Satoshi;Cheng, Ke-Sheng
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1227-1229
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    • 2003
  • Kojima Lake in Okayama prefecture is a freshing reservoir constructed adjacent to the oldest reclaimed land in Japan. This lake has a serious water quality problem because two urban rivers are flowing into it. In the present study, unsupervised classification was performed at intervals of several years using Landsat MSS data in the past 15 years. After geometric correction of these data, MSS data corresponding geographically to the field observation data were extracted and subjected to the multivariate analysis. Water quality distribution in the lake was estimated using the regression equation obtained as a result. In addition, two - dimensional and three-dimensional numerical simulations were performed and compared with the distribution obtained from the satellite images. Behavior of the reservoir flows is complicated and water quality distribution varies greatly with the flows. Here, I report the results of analysis on three factors, field observation, numerical simulation and satellite images.

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Design and Implementation of Data Distribution Service based on Real-Time Operating System (실시간 운영체제에서 Data Distribution Service 설계 및 구현)

  • Jeong, Gun-Jae;Lee, Cheol-Hoon
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.10a
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    • pp.395-398
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    • 2006
  • 임베디드 시스템의 발달로 인해 기존의 컴퓨팅 패러다임(Paradigm)이 모바일이나 웨어러블 컴퓨팅 등 임베디드 환경으로 급격하게 변화하고 있다. 이렇게 컴퓨팅 패러다임이 변화해도 정보 서비스에 대한 기술이 여전히 필요하다. 네트웍 환경에서 많이 사용하고 있는 정보 서비스 기술중의 하나인 Data Distribution Service(DDS)는 간단한 통신 메커니즘을 기반으로 하면서도 높은 성능으로 정보 서비스를 제공할 수 있다. 따라서, 본 논문에서는 실시간 운영체제를 사용하는 내장형 시스템에 Data Distribution Service(DDS)를 적용하여 데이터의 수집과 전송을 효율적으로 사용하게 하였다.

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Estimation of p-values with Two Dimensional Null Distributions from Genomic Data Set

  • Yee, Jaeyong;Park, Mira
    • Journal of the Korean Data Analysis Society
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    • v.20 no.6
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    • pp.2711-2719
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    • 2018
  • When an observable is described by a single value, the statistic significance may be estimated by construction of null distribution using permutation and counting the portion of it that exceeds the observed value by chance. Genome-wide association study usually focuses on the association measure between a single or interacting genotypes with a single phenotype. However investigation of common genotypes associated simultaneously on multiple phenotypes may involve the observables that should be described with multiple numbers. Statistical significance for such an observable would involve null distribution in multiple dimensions. In this study, extension of the p-value estimation process using null distribution in one dimension has been sought that may be applicable to two dimensional case. Comparison of the position of points within the set of points they form has been proposed to use a positioning parameter inspired by the extension of the Kolmogorov-Smirnov statistic to two dimensions.

A Comparison of NLSY and CPS Data

  • Jo, Yoon-Ae
    • Journal of the Korean Data and Information Science Society
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    • v.17 no.3
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    • pp.851-859
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    • 2006
  • The family income distributions of NLSY97 and CPS youth data are compared by using the generalized beta distribution of the second kind. The null hypothesis that the two data sets represent the same underlying population is rejected. The ML estimation suggests that NLSY97 data are oversampled in an income group of $11,308 or less, by about 15.7% compared to CPS data.

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An alternative approach to extreme value analysis for design purposes

  • Bardsley, Earl
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.201-201
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    • 2016
  • The asymptotic extreme value distributions of maxima are a natural choice when designing against future extreme events like flood peaks or wave heights, given a stationary time series. The generalized extreme value distribution (GEV) is often utilised in this context because it is seen as a convenient single expression for extreme event analysis. However, the GEV has a drawback because the location of the distribution bound relative to the data is a discontinuous function of the GEV shape parameter. That is, for annual maxima approximated by the Gumbel distribution, the data is also consistent with a GEV distribution with an upper bound (no lower bound) or a GEV distribution with a lower bound (no upper bound). A more consistent single extreme value expression for design purposes is proposed as the Weibull distribution of smallest extremes, as applied to transformed annual maxima. The Weibull distribution limit holds here for sufficiently large sample sizes, irrespective of the extreme value domain of attraction applicable to the untransformed maxima. The Gumbel, Type 2, and Type 3 extreme value distributions thus become redundant, together with the GEV, because in reality there is only a single asymptotic extreme value distribution required for design purposes - the Weibull distribution of minima as applied to transformed maxima. An illustrative synthetic example is given showing transformed maxima from the normal distribution approaching the Weibull limit much faster than the untransformed sample maxima approach the normal distribution Gumbel limit. Some New Zealand examples are given with the Weibull distribution being applied to reciprocal transformations of annual flood maxima, where the untransformed maxima follow apparently different extreme value distributions.

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The Relationship between Other Customer Perception and Experience with Role of Interpersonal Mindfulness in Brand Distribution

  • Linh Thi Dieu NGUYEN;Anh Thuy TRINH
    • Journal of Distribution Science
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    • v.21 no.6
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    • pp.69-81
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    • 2023
  • Purpose: The study investigates the moderating impact of interpersonal mindfulness (IM) on the link between perceived similarity (OPS), physical appearance (OPA), and suitable behavior (OSB) - three key factors of other consumer perception (OCP) and brand experience (BE) in distribution of OCP and brand. Research design, data, and methodology: This study collected data from 612 consumers at shopping malls. SmartPLS 3.3.9 software were used to assess the measurement model and structural model. Results: According to the study's findings, IM has a negative modality in the impact between BE and OPS, OPA, and OSB. That also demonstrates how distribution of OCP and brand can affect a person's brand experience. Conclusions: The distribution of OCP and IM interactions have a significant influence on the brand experience in brand distribution. The study's results show that IM including mindfulness will function as a moderator between perceived similarity, physical appearance, suitable behavior regarded proper by other consumers, and brand experiences; therefore, they impact to brand distribution. The findings give a foundation for further IM research and add to the brand distribution theory that already exists. The findings also have some managerial implications in brand distribution.

Estimation on composite lognormal-Pareto distribution based on doubly censored samples (결합 로그노말-파레토 분포에서 추출된 양쪽 중도 절단된 표본을 이용한 모수추정)

  • Lee, Kwang-Ho
    • Journal of the Korean Data and Information Science Society
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    • v.22 no.2
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    • pp.171-177
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    • 2011
  • With the development of the actuarial and insurance industries, the distributions of the insurance payments data are deeply studied by many authors. It is known that theses types of distribution are very highly positively skewed and have a long thick upper tail such as Pareto or lognormal distribution. In 2005, Cooray and Ananda proposed a new model which is composed lognormal distribution and Pareto distribution. They said it as composite lognormal-Preto distribution. They showed that the proposed distribution was better fitted than lognormal or Pareto distribution. On the other hand many agreements about the insurance payment have some options for a trivially small payment or extremely large one because of the limits of total payment. Appling these cases, in this paper we consider the parameter estimation on the composite lognormal-Pareto distribution based on doubly censored samples.

Time and Spatial Distribution of Probabilistic Typhoon Storms and Winds in Korean Peninsula (한반도에 내습한 태풍의 확률강우 및 풍속의 시공적 분포 특성)

  • 윤경덕;서승덕
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.36 no.3
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    • pp.122-134
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    • 1994
  • The objective of this study is to provide with the hydrometeological and probabilistic characteristics of the storms and winds of typhoons that have been passed through the Korea peninsula during the last twenty-three years since 1961. The paths and intensities of the typhoons were analyzed. Fifty weather stations were selected and the rainfall and wind data during typhoon periods were collected. Rainfall data were analyzed for the patterns and probabilistic distributions. The results were presented to describe the areal distributions of probabilistic characteristics. Wind data were also analysed for their probabilistic distributions. The results obtained from this study can be summarized as follows: 1. The most frequent typhoon path that have passed through the Korean peninsula was type E, which was followed by types CWE, W, WE, and S. The most frequent typhoon intensity was type B, that was followed by A, super A, and C types, respectively. 2. The third quartile typhoon rainfall patterns appear most frequently followed by the second, first, and quartiles, respectively, in Seoul, Pusan, Taegu, Kwangju and Taejon. The single typhoon rainfalls with long rainfall durations tended to show delayed type rainfall patterns predominantly compared to the single rainfalls with short rainfall durations. 3. The most frequent probabilistic distribution for typhoon rainfall event is Pearson type-III, followed by Two-parameter lognormal distribution, and Type-I extremal distribution. 4. The most frequent probability distribution model of seashore location was Pearson type-III distribution. The most frequent probability distribution model of inland location was two parameter lognormal distribution. 5. The most frequent probabilistic distribution for typhoon wind events was Type-I xtremal distribution, followed by Two-parameter lognormal distribution, and Normal distribution.

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