• Title/Summary/Keyword: continuous distribution

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Computer Program Development for Probability Distribution

  • Choi, Hyun-Seok;Song, Gyu-Moon
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.3
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    • pp.581-589
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    • 2005
  • The purpose of this thesis is to develop and introduce Add-in program which we can systematically, visually and dynamically study discrete probability distribution of binomial distribution, poisson distribution and hypergeometric distribution, and continuous probability distribution of normal distribution, exponential distribution, and the definition and characteristics of t distribution, F distribution and ${\chi}^2$ distribution to be driven from normal distribution, and graphs, the computation process of probability by using VBA which is the device of Excel.

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(Continuous-Time Queuing Model and Approximation Algorithm of a Packet Switch under Heterogeneous Bursty Traffic) (이질적 버스트 입력 트래픽 환경에서 패킷 교환기의 연속 시간 큐잉 모델과 근사 계산 알고리즘)

  • 홍석원
    • Journal of KIISE:Information Networking
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    • v.30 no.3
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    • pp.416-423
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    • 2003
  • This paper proposes a continuous-time queuing model of a shared-buffer packet switch and an approximate algorithm. N arrival processes have heterogeneous busty traffic characteristics. The arrival processes are modeled by Coxian distribution with order 2 that is equivalent to Interruped Poisson Process. The service time is modeled by Erlang distribution with r stages. First the approximate algorithm performs the aggregation of N arrival processes as a single state variable. Next the algorithm discompose the queuing system into N subsystems which are represented by aggregated state variables. And the balance equations based on these aggregated state variables are solved for by iterative method. Finally the algorithm is validated by comparing the results with those of simulation.

Analysis of Commercial Continuous Media Server Workloads on Internet (인터넷 환경에서의 상용 연속미디어 서버의 부하 분석)

  • Kim, Ki-Wan;Lee, Seung-Won;Park, Seong-Ho;Chung, Ki-Dong
    • The KIPS Transactions:PartB
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    • v.10B no.1
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    • pp.87-94
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    • 2003
  • A study on the characteristics of server workloads based on user access pattern offers insights for the strategies on continuous media caching and network workloads distribution. This paper analyses characteristics of continuous media filet in each fervor and user access requests to each of them, using log data of three commercial sites, which are providing continuous media files in the form of real time streaming on the Internet. These servers have more continuous files than ones in the previously reported studies and are processing very large number of user access requests. We analyse the characteristics of continuous media files in each server by the size of files. playback time and encoding bandwidth. We also analyse the characteristics of user access requests by the distribution of user requests to continuous media files, user access time, access rate based on the popularity of the files and the number if access requests to serial continuous media files.

Probability Distribution of Rainfall Events Series with Annual Maximum Continuous Rainfall Depths (매년최대 연속강우량에 따른 강우사상 계열의 확률분포에 관한 연구)

  • 박상덕
    • Water for future
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    • v.28 no.2
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    • pp.145-154
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    • 1995
  • The various analyses of the historical rainfall data need to be utilized in a hydraulic engineering project. The probability distributions of the rainfall events according to annual maximum continuous rainfall depths are studied for the hydrologic frequency analysis. The bivariate normal distribution, the bivariate lognormal distribution, and the bivariate gamma distribution are applied to the rainfall events composed of rainfall depths and its durations at Kangnung, Seoul, Incheon, Chupungnyung, Teagu, Jeonju, Kwangju, and Busan. These rainfall events are fitted to the the bivariate normal distribution and the bivariate lognormal distribution, but not fitted to the bivariate gamma distribution. Frequency curves of probability rainfall events are suggested from the probability distribution selected by the goodness-of-fit test.

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Continuous usage intention of social media as an online information distribution channels

  • YASA, Ni Nyoman Kerti;RAHMAYANTI, Putu Laksmita Dewi;WITARSANA, I Gusti Agung Gede;ANDIKA, Ary Wira;MUNA, Nilna;SUGIANINGRAT, Ida Ayu Putu Widani;Martaleni, Martaleni
    • Journal of Distribution Science
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    • v.19 no.5
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    • pp.49-60
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    • 2021
  • Purpose: This study aimed to explore the variables that may play a significant role in inducing Facebook users to use Facebook as online information distribution channels continuously. Research design, data, and methodology: The population of this study are all Facebook users who have actively used Facebook as a social media as online information distribution for at least one year. Purposive sampling technique was used in this study and 290 respondents were enrolled. The data was collected using a questionnaire and further analyzed with path analysis and SEM-PLS approach. Result: The results showed that perceived ease of use, perceived critical mass, perceived enjoyment, and perceived information intelligence have a positive and a significant effect towards perceived usefulness. Perceived usefulness also has a positive and significant effect on users' attitude, and users' attitude has a positive and significant effect on intentions to use Facebook continuously among its users. Conclusions: Hence, it is important for Facebook as an online information distribution channel to maintain its perceived usefulness in order to create a positive impact on its users' and induce Facebook users' to use social media continuously.

Effects of the Components of Mobile Shopping Apps On Shopping Flow and Continuous Usage Intention

  • Sangwoon BYUN;Jai-Kil KO
    • The Journal of Industrial Distribution & Business
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    • v.14 no.12
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    • pp.11-21
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    • 2023
  • Purpose: This study aims to investigate the impact of mobile shopping app components on shopping flow and the continuous usage intention of the shopping apps in the rapidly growing mobile market facilitated by advancements in the mobile environment. Research Methodology: A survey was conducted, targeting users aged 20 and older with experience in using mobile shopping apps. The responses of 456 participants were analyzed through frequency analysis, exploratory factor analysis, reliability analysis, confirmatory factor analysis, and structural equation modeling. Results: The study found that within the components of mobile shopping apps, enjoyment significantly impacted both shopping flow and the continuous usage intention of shopping apps. The diversity of product assortment had a significant effect only on shopping flow. The usefulness and ease of use influenced on the intention to continue using shopping apps. Conclusions: Based on the findings, it is recommended that shopping app operators try to identify essential components for stimulating user interest and engagement when developing or modifying apps. Additionally, a diverse range of products enhances the shopping experience and drives spontaneous purchases. Furthermore, providing an easy interface and minimizing the effort required, this experience can enhance user perception of its value and sustain consumers' continuous usage intention of the shopping app.

THE CONTINUOUS DENSITY FUNCTION OF THE LIMITING SPECTRAL DISTRIBUTION

  • Choi, Sang-Il
    • Journal of applied mathematics & informatics
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    • v.28 no.1_2
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    • pp.515-521
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    • 2010
  • In multivariate analysis, the inversion formula of the Stieltjes transform is used to find the density of a spectral distribution of random matrices of sample covariance type. Let $B_n\;=\;\frac{1}{N}Y_nY_n^TT_n$ where $Y_n\;=\;[Y_{ij}]_{n\;{\times}\;N}$ is with independent, identically distributed entries and $T_n$ is an $n\;{\times}\;n$ symmetric non-negative definite random matrix independent of the $Y_{ij}$'s. In the present paper, using the inversion formula of the Stieltjes transform, we will find that the limiting distribution of $B_n$ has a continuous density function away from zero.

Application of Multiple Imputation Method in Analyzing Data with Missing Continuous Covariates

  • Ghasemizadeh Tamar, S.;Ganjali, M.
    • The Korean Journal of Applied Statistics
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    • v.21 no.4
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    • pp.659-664
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    • 2008
  • Missing continuous covariates are pervasive in the use of generalized linear models for medical data. Multiple imputation is the most common and easy-to-do method of dealing with missing covariate data. However, there are always serious warnings in using this method. There should be concern to make imputed values more proper. In this paper, proper imputation from posterior predictive distribution is developed for implementing with arbitrary priors. We use empirical distribution of the posterior for approximating the posterior predictive distribution, to sample from it. This method is preferable in comparison with a presented imputation method of us which uses a full model to impute missing values using available software. The proposed methods are implemented on glucocorticoid data.

Probabilistic estimates of corrosion rate of fuel tank structures of aging bulk carriers

  • Ivosevic, Spiro;Mestrovic, Romeo;Kovac, Natasa
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.11 no.1
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    • pp.165-177
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    • 2019
  • This paper considers corrosion wastage of two ship hull structure members as a part of investigated fuel oil tanks of 25 aging bulk carriers. Taking into account that many factors which influence corrosion wastage of ship hull structures are of uncertain nature, the related corrosion rate ($c_1$) is considered here as a real-valued continuous distribution, assuming that the corrosion wastage starts after 5, 6 or 7 years. In all considered cases, by using available data and applying three basic statistical tests, it is established that between two-parameter continuous distributions, normal, Weibull and logistic distributions are best fitted distributions for the mentioned corrosion rate ($c_1$). Note that the presented statistical, numerical and graphical results concerning two mentioned ship hull structure members allow to compare and discuss the corresponding probabilistic estimates for the corrosion rate ($c_1$).

On Distribution of Order Statistics from Kumaraswamy Distribution

  • Garg, Mridula
    • Kyungpook Mathematical Journal
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    • v.48 no.3
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    • pp.411-417
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    • 2008
  • In the present paper we derive the distribution of single order statistics, joint distribution of two order statistics and the distribution of product and quotient of two order statistics when the independent random variables are from continuous Kumaraswamy distribution. In particular the distribution of product and quotient of extreme order statistics and consecutive order statistics have also been obtained. The method used is based on Mellin transform and its inverse.