• 제목/요약/키워드: 기초 통계학

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The Electronic Statistical Text with Enhanced Interaction (상호작용 강화를 위한 전자교재의 개선방안과 구현사례)

  • 한범수;한경수;최숙희
    • The Korean Journal of Applied Statistics
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    • v.15 no.2
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    • pp.423-432
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    • 2002
  • Web Based electronic texts are studied on the statistics education fields. In this paper, we discuss the current problems encountered by many statistics electronic texts. We also suggest a new design concept for the Web Based interactive material. In addition, we presented several examples to demonstrate.

통계계산분야의 현재와 미래

  • 김병천
    • Journal of the Korean Statistical Society
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    • v.20
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    • pp.105-110
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    • 1991
  • 통계계산, Statistical Computing, 또는 Numerical Computation for Statistics라고 불리우는 통계의 한 분야는 컴퓨터 산업에 의한 제3의 산업혁명이 일고 있는 현대에서 매우 중요한 위치를 차지하고 있음은 두말 할 것도 없다. 특히 통계학이 컴퓨터가 발전하면서 더욱 더 학문적 발전에 박차를 가하고 있다는 것도 의심할 여지가 없다. 통계가 다루는 데이터는 적은 양으로부터 방대한 양을 다루고 있기 때문에 컴퓨터는 필수불가결한 파트너가 되었다. 1980년 초반에 16비트 컴퓨터가 개발되면서, 통계를 처리하는 장소가 전자계산소로부터 사무실로 옮겨 오기 시작했고, 최근에는 70MIPS이상의 속도를 갖고 있는 탁상용 Workstation이 개발되어 통계학자들의 마음을 설레게 하고 있다. 또한 대량의 데이터를 저장할 수 있는 Laser Compact Disk들이 개발되어 통계분야 및 통계계산분야의 발전에 기대가 더 모아지게 되었다. 그러면 컴퓨터가 발전되고 있는데 왜 통계계산분야의 발전이 필요하며, 현재까지 통계계산분야는 어느 단계까지 와 있으며, 미래를 위한 통계계산분야는 어떻게 변화할 것인지를 한국의 실정에 기초를 두고 논해 보고자 한다.

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Replacement Model after Extended Two-phase Warranty (연장된 이단계 보증 이후의 교체모형)

  • Jung, Ki Mun
    • Journal of Integrative Natural Science
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    • v.14 no.4
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    • pp.197-204
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    • 2021
  • Under the two-phase warranty, the warranty period is divided into two intervals, one of which is for renewing replacement warranty, and the other is for minimal repair warranty. Jung[13] discusses the two types of extended two-phase warranty models. In this paper, we suggest the replacement model after the extended two-phase warranty that has been proposed by Jung[13]. To determine the optimal replacement policy, we adopt the expected cost rate per unit time. So, the expressions for the total expected cost, the expected length of the cycle and the expected cost rate per unit time from the user's point of view are derived. Also, we discuss the optimal replacement policy and the uniqueness of the solution for the optimization. Furthermore, the numerical examples are provided to illustrate the proposed the replacement model.

Optimal Warranty Policy for Free Two-phase Warranty (무료 이단계 보증에 대한 최적의 보증 정책)

  • Ki Mun Jung
    • Journal of Integrative Natural Science
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    • v.17 no.2
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    • pp.43-51
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    • 2024
  • Jung et al.(2015) suggest the two-phase warranty model, which is a general type of warranty model. Under the two-phase warranty, the warranty period is divided into two intervals, one of which is for renewing replacement warranty, and the other is for minimal repair warranty. And warranty policies play a very important role in product marketing. In this paper, we suggest the optimal warranty policy for free extended two-phase warranty. To determine the optimal warranty period, we adopt the expected profit per unit product. So, the expressions for the total expected cost, the sale price and the expected profit per unit product from the manufacturer's point of view are derived. Also, we discuss the optimal warranty period and the numerical examples are provided to illustrate the proposed the warranty policy.

A Graphical Method for Evaluating the Effect of Outliers in One- and Two-Variate Data (일변량 및 이변량 자료에 대하여 특이값의 영향을 평가하기 위한 그래픽 방법)

  • Jang, Dae-Heung
    • The Korean Journal of Applied Statistics
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    • v.20 no.2
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    • pp.395-407
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    • 2007
  • Outliers distort many measures for data analysis. We can propose dandelion seed plot as a graphical tool for evaluating the effect of outliers in one-and two-variate data. We can draw mean-variance dandelion seed plots using linked curves which are made by changing weights from 1 to 0 for each datum. Similarly we can also draw covariance-correlation-coefficient dandelion seed plots. This graphical method can be a useful tool for elementary statistics education in college.

Convergence Analysis of Adaptive L-Filter (적응 L-필터의 수렴성 해석)

  • Kim, Soo-Yong;Bae, Sung-Ho
    • Journal of Korea Multimedia Society
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    • v.12 no.9
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    • pp.1210-1216
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    • 2009
  • In this paper we analyze the convergence behavior of the recursive least rank (RLR) L-filter. The RLR L-filter is an order statistics filter, filter coefficients of which are the weights according to the order of magnitude of inputs. And RLR L-filter is a non-linear adaptive filter, that uses RLR algorithm for coefficient updating. The RLR algorithm is a non-linear adaptive algorithm based on rank estimates in Robust statistics. The mean and mean-squared convergence behavior of the RLR L-filter is examined with variable step-sizes. The RLR L-filter adapts the median filter type to the heavy-tailed distribution function of impulse noise, and adapts the average filter type to Gaussian noises.

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Note on the Equality of Variances in Two Sample t-Test (두 집단 평균 차이 검정에서 분산의 동질성에 관한 소고)

  • Kim, Sang-Cheol;Lim, Jo-Han
    • Communications for Statistical Applications and Methods
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    • v.17 no.1
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    • pp.79-88
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    • 2010
  • Introductory statistic class proposes two tests for the equality of two population means according to the homogeneity of their variances. However, in practice, the variances are also unknown and practitioners often test their homogeneity before they do two sample t-test. This is also true in many popular statistical packages such as SAS and SPSS. In this paper, we study the type I error of this two stage procedure and propose a procedure to control it at a given significance level.

An Estimation Technique of Rock Mass Classes for a Tunnel Design (터널 설계를 위한 암반등급 산정 기법에 관한 연구)

  • 유광호
    • Journal of the Korean Geotechnical Society
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    • v.19 no.5
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    • pp.319-326
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    • 2003
  • In site investigation for tunnel designs, nowadays, geophysical exploration such as seismic exploration and electric resistivity exploration as well as drilling logging is frequently carried out. A method which can systematically make the utmost use of all available data obtained from investigation, therefore, is strongly required for the optimal evaluation of ground conditions in terms of rock mass class, etc. Many researchers have proposed using qualitative data to cope with the lack of quantitative data. In this study, an evaluation technique of rock mass classes in undrilled region was proposed based upon multiple indicator kriging method which is a geostatistical technique. It was shown that two types of data with different degree of uncertainty, for example, drilling logging data and geophysical exploration data, could be simultaneously utilized in evaluating rock mass classes for a real tunnel design.

Evalustion and Prediction for the Fatigue crack Initiation and Growth Life by Reliability Approach (I) -Statistical Consideration for Fatigue Crack Growth Life- (신뢰성 공학적 피로 균열의 발생, 진전 수명 평가 및 예측에 관한 연구 ( I ) -피로 균열 진전 수명의 통계학적 분포 특성-)

  • 권재도;최선호;황재석;곽상국;전경옥;장재영
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.14 no.6
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    • pp.1583-1591
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    • 1990
  • Life prediction and residual life prediction of structures of machines are one of the most strongly world wide needed problems as requirement in the stage of slowly developing economy which comes after rapidly and highly developing stage. For the purpose of statistical life prediction, fatigue test was conducted under the 4 stress levels, and for each stress level, about 20 specimens are used. The statistical properties of crack growth parameter m and C in the fatigue crack growth law of da/dN=C(.DELTA.K)sup m/, and the relationship between m and C, and the statistical distribution pattern of fatigue crack growth rate can be obtained by experimental results.

Window Configurations Comparison Based on Statistical Edge Detection in Images (영상에서 윈도우 배치에 따른 통계적 에지검출 비교)

  • Lim, Dong-Hoon
    • Communications for Statistical Applications and Methods
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    • v.16 no.4
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    • pp.615-625
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    • 2009
  • In this paper we describe Wilcoxon test and T-test that are well-known in two-sample location problem for detecting edges under different window configurations. The choice of window configurations is an important factor in determining the performance and the expense of edge detectors. Our edge detectors are based on testing the mean values of local neighborhoods obtained under the edge model using an edge-height parameter. We compare three window configurations based on statistical tests in terms of qualitative measures with the edge maps and objective, quantitative measures as well as CPU time for detecting edge.