• Title/Summary/Keyword: chi-square fitting

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On an Approximation to the Distribution of Product of Independent Beta Variates

  • Hea Jung Kim
    • Communications for Statistical Applications and Methods
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    • v.1 no.1
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    • pp.81-86
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    • 1994
  • A Chi-square approximation to the distribution of product of independent Beta variates denoted by U is developed. The distribution is commonly used as a test criterion for the general linear hypothesis about the multivariate linear models. The approximation is obtained by fitting a logarithmic function of U to a Chi-square variate in terms of the first three moments. It is compared with the well known approximations due to Box(1949), Rao(1948), and Mudholkar and Trivedi(1980). It is found that the Chi-square approximation compares favorably with the other three approximations.

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Comparison of Parameter Estimation Methods in the Analysis of Multivariate Categorical Data with Logit Models

  • Song, Hae-Hiang
    • Journal of the Korean Statistical Society
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    • v.12 no.1
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    • pp.24-35
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    • 1983
  • In fitting models to data, selection of the most desirable estimation method and determination of the adequacy of fitted model are the central issues. This paper compares the maximum likelihood estimators and the minimum logit chi-square estimators, both being best asymptotically normal, when logit models are fitted to infant mortality data. Chi-square goodness-of-fit test and likelihood ratio one are also compared. The analysis infant mortality data shows that the outlying observations do not necessarily result in the same impact on goodness-of-fit measures.

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Computation of partial derivatives from an image

  • Yang, Woo-Suk;Han, Inhwan
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10b
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    • pp.526-531
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    • 1992
  • Partial derivatives are easily computed analytically assuming that all the geometric information is known. However, there are computational difficulties in getting accurate partial derivatives directly from a range image since an image is a discrete version of continuous data contaminated with some noise. In this paper, we develop a general window function to compute partial derivatives based on the least square surface fitting method. A dynamic selective surface fitting method is introduced to make the window less sensitive to noise. Any degree of partial derivative can be obtained by a simple convolution between an image and window functions.

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Tilted-Ring Modeling of Warped Spiral Galaxies

  • Bae, Hyun-Jin;Chung, Ae-Ree;Jozsa, Gyula I.G.;Kim, Sung-Soo;Yoon, Suk-Jin
    • The Bulletin of The Korean Astronomical Society
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    • v.35 no.2
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    • pp.30.2-30.2
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    • 2010
  • A direct tilted-ring fitting method allows us to investigate kinematic structure of spiral galaxies. By employing the method to high-resolution HI data cubes, we can more easily trace warp characteristics of spiral galaxies than ever. In this contribution, we make use of TiRiFiC to VLA HI data cube of spiral galaxies in Virgo cluster, and present our preliminary yet interesting results. The TiRiFiC (Tilted-Ring-Fitting-Code) is publicly available code that provides 'best-fit' tilted-ring parameters (i.e. position angle and inclination) via chi-square minimization technique. We also discuss possible biases (e.g., resolution dependency) and its effect on our conclusions.

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Decision Tree Techniques with Feature Reduction for Network Anomaly Detection (네트워크 비정상 탐지를 위한 속성 축소를 반영한 의사결정나무 기술)

  • Kang, Koohong
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.4
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    • pp.795-805
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    • 2019
  • Recently, there is a growing interest in network anomaly detection technology to tackle unknown attacks. For this purpose, diverse studies using data mining, machine learning, and deep learning have been applied to detect network anomalies. In this paper, we evaluate the decision tree to see its feasibility for network anomaly detection on NSL-KDD data set, which is one of the most popular data mining techniques for classification. In order to handle the over-fitting problem of decision tree, we select 13 features from the original 41 features of the data set using chi-square test, and then model the decision tree using TensorFlow and Scik-Learn, yielding 84% and 70% of binary classification accuracies on the KDDTest+ and KDDTest-21 of NSL-KDD test data set. This result shows 3% and 6% improvements compared to the previous 81% and 64% of binary classification accuracies by decision tree technologies, respectively.

Transformation Approach to Model Online Gaming Traffic

  • Shin, Kwang-Sik;Kim, Jin-Hyuk;Sohn, Kang-Min;Park, Chang-Joon;Choi, Sang-Bang
    • ETRI Journal
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    • v.33 no.2
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    • pp.219-229
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    • 2011
  • In this paper, we propose a transformation scheme used to analyze online gaming traffic properties and develop a traffic model. We analyze the packet size and the inter departure time distributions of a popular first-person shooter game (Left 4 Dead) and a massively multiplayer online role-playing game (World of Warcraft) in order to compare them to the existing scheme. Recent online gaming traffic is erratically distributed, so it is very difficult to analyze. Therefore, our research focuses on a transformation scheme to obtain new smooth patterns from a messy dataset. It extracts relatively heavy-weighted density data and then transforms them into a corresponding dataset domain to obtain a simplified graph. We compare the analytical model histogram, the chi-square statistic, and the quantile-quantile plot of the proposed scheme to an existing scheme. The results show that the proposed scheme demonstrates a good fit in all parts. The chi-square statistic of our scheme for the Left 4 Dead packet size distribution is less than one ninth of the existing one when dealing with erratic traffic.

Subjective Symptoms according to Fitting Test in Soft Contact Lens Wearers (소프트콘택트렌즈 착용자의 피팅 상태 확인 유무에 따른 자각적 증상)

  • Kim, Jung-Hee;An, Youngju
    • The Korean Journal of Vision Science
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    • v.20 no.4
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    • pp.431-442
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    • 2018
  • Purpose : The purpose of this study was to investigate subjective symptoms according to the wearing, purchase and fitting status of soft contact lens wearers, and consumer perception of base curve. Methods : A survey was conducted for those who visited optical shops and lens shops in Seoul from June to August 2018. A total of 98 answer sheets they submitted were used for the analysis. The chi-square test and Fisher's exact test were used to compare subjective symptoms (dryness, glare, uncomfortable fitting, and decreased vision) according to whether fitting condition is screened (case history and push-up test, ect relevant to wearing sensation), and the odds ratio (OR) was obtained by the logistic regression analysis. Results : When the contact lenses were purchased, the rate of which the visual acuity test was performed was 86.6% at optical shop and 64.7% at lens shop. When purchasing contact lens and the contact lens was not tested for fitting, they more experienced dryness (OR 4.41, 95% CI 1.25-15.62) and uncomfortable fitting (OR 2.68, 95% CI 1.08-6.64) than testing for fitting. In addition, it was investigated that 87.8% of contact lens wearers did not know about the term base curve, 92.9% did not listen to an explanation related to the base curve when purchasing contact lenses, and 96.9% did not experience with base curve test. Conclusion : It would be thought that satisfaction of the contact lens fitting of existing consumers should be improved by changing a proper base curve by confirming the fitting condition when prescribing soft contact lens.

ON ESTIMATION OF NEGATIVE POLYA-EGGENBERGER DISTRIBUTION AND ITS APPLICATIONS

  • Hassan, Anwar;Bilal, Sheikh
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.12 no.2
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    • pp.81-95
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    • 2008
  • In this paper, the negative Polya-Eggenberger distribution has been introduced by compounding negative binomial distribution with beta distribution of I-kind which generates a number of univariate contagious or compound (or mixture of) distributions as its particular cases. The distribution is unimode, over dispersed and all of its positive and negative integer moments exist. The difference equation of the proposed model shows that it is a member of the Ord's family of distribution. Some of its interesting properties have been explored besides different methods of estimation been discussed. Finally, the parameters of the proposed model have been estimated by using a computer programme in R-software. Application of the proposed model to some data, available in the literature, has been given and its goodness of fit demonstrated.

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Clothing Preference and Management Behaviors of the Korean Elderly Women

  • Nam, Yoon-Ja;Kim, In-Sook
    • The International Journal of Costume Culture
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    • v.2 no.2
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    • pp.1-13
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    • 1999
  • This study aimed to give an updated description of general clothing behavior patterns of the Korean elderly women. 430 women over 60 years old residing in Seoul wre surveyed with a questionnaire asking about their daily practices of clothing selection, disposal, recycling, quantity and place of purchase, and their background variables. Data were treated to SPSS for descriptive statistics, Chi-square analysis, ANOVA and Duncan's multiple range test. The result revealed that the wardrobe of the Korean aged women is by now fully oriented toward the western style. The subjects disposed of their clothing mainly because of their body size changes and had elementary fitting problems unsolved. They had clothing recycling experinces and turned out to be inactive clothing consumers with differing shopping places according to the types of clothing items to be purchased. The subjects'age and income level had significant effects on various facets of their clothing behavior.

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A Study on Present State of Technical Designers' Work Responsibilities and Training Conditions -Targeting Technical Designers Working for Clothing Vendors and Agents- (테크니컬 디자이너의 업무 및 교육 실태에 관한 연구 -벤더(Vendor)와 에이전트(Agent) 테크니컬 디자이너를 대상으로-)

  • Lee, Eun-Young;Choi, Hei-Sun;Do, Wol-Hee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.37 no.3
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    • pp.292-305
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    • 2013
  • This study reported present state of clothing technical designers' work duties and working conditions, so as to suggest effective ways to develop professional training methods for them. Technical designers working for vendors and agents were surveyed as they represent the majority of technical designers in Korean clothing industries. Survey participants were 62 technical designers working for 6 clothing vendors and 2 clothing agents, and the survey closely inspected their work qualifications, duties and responsibilities, working conditions and training conditions. Survey was conducted from June $27^{th}$ to July $17^{th}$, 2012. The questionnaire examined frequency analysis and multiple response analysis using SPSS 19.0 Windows after investigating documents and work fields through personal experiences and interviews from technical designers for data collection and analysis. A chi-square test analyzed the preferred type of fitting for technical designers of vendors and agents. The results showed that 32.3% of those surveyed have more than 7 years of work experience and the highest level of education is predominantly a bachelor's degree (57 people, 91.9%). Among the work responsibilities, respondents did sample measuring more than four times a day. Also, the results showed that technical designers needed to qualify: first 'Fitting Technic', second 'Pattern Correction Capability', and third 'English Skills to Communicate with Buyers'; subsequently, education on several technics (such as measuring, grading, and fitting) were required for the job. Current technical designers answered that they need more various work-related education. However, the analyzed results showed that pre work-related training was insufficient. The data shows that technical designers require re-education in 'Pattern Correction Method' (61.3%) and 'Sewing Education' (64.5%).