• 제목/요약/키워드: Estimate method

검색결과 9,466건 처리시간 0.035초

Exact Variance of Location Estimator in One-Way Random Effect Models with Two Distint Group Sizes

  • Lee, Young-Jo;Chung, Han-Yeong
    • Journal of the Korean Statistical Society
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    • 제18권2호
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    • pp.118-124
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    • 1989
  • In the one-way random effect model, we often estimate the variance components by the ANOVA method and then estimate the population mean. Whe there are only two distint group sizes, the conventional mean estimator is represented as a weighted average of two normal means with weights being the function of variance component estimators. In this paper, we will study a method which can compute the exact variance of the mean estimator when we set the negative variance component estimate to zero.

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Selection of Data-adaptive Polynomial Order in Local Polynomial Nonparametric Regression

  • Jo, Jae-Keun
    • Communications for Statistical Applications and Methods
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    • 제4권1호
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    • pp.177-183
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    • 1997
  • A data-adaptive order selection procedure is proposed for local polynomial nonparametric regression. For each given polynomial order, bias and variance are estimated and the adaptive polynomial order that has the smallest estimated mean squared error is selected locally at each location point. To estimate mean squared error, empirical bias estimate of Ruppert (1995) and local polynomial variance estimate of Ruppert, Wand, Wand, Holst and Hossjer (1995) are used. Since the proposed method does not require fitting polynomial model of order higher than the model order, it is simpler than the order selection method proposed by Fan and Gijbels (1995b).

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건축구조물의 시스템 식별을 통한 무리보행의 해석 (Analysis of Group Walking Loads by System Identification of Building Structures)

  • 김태호;민경원;이동근
    • 한국지진공학회:학술대회논문집
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    • 한국지진공학회 2003년도 춘계 학술발표회논문집
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    • pp.267-274
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    • 2003
  • The objective of this study is to estimate the frequency characteristics of group walking loads based on the information of measured responses. At first, dynamic properties such as natural frequencies and modes are obtained from input/output relation for building structures by heel drop test. Second, a method to estimate group walking loads by the transfer functions from measured responses to group walking loads is proposed. The method turned out to estimate the group walking loads accurately. Higher modes could be important in estimating the amplitude of group walking loads with the information of single walking load.

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통계기법 점검표 작성시 타당성 평가방법 (The method of evaluating the validity in making the checklist of statistical method)

  • 이상복;김말숙
    • Journal of the Korean Data and Information Science Society
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    • 제9권2호
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    • pp.323-336
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    • 1998
  • 점검표 설계상의 타당성 평가이론에 근거한 점검표 설계 단계별 타당성 평가와 점검표 사용목적에 따른 타당성 평가방법을 제안하여 한국의류학회지를 대상으로 평가이론에 입각하여 점검표의 각 단계별 타당성 평가기준을 설정하였다.

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비선형 유한요소해석을 이용한 철근콘크리트 구조물의 내화성능평가 (Fire Endurance Estimate of Reinforced Concrete Structure Using Nonlinear Finite Element Method)

  • 변순주;임정순;황지욱
    • 한국방재학회 논문집
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    • 제6권1호
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    • pp.17-27
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    • 2006
  • 화재동안 구조물의 복잡한 거동을 이해하기란 쉽지 않다 때문에 화재이후의 철근콘크리트 구조물의 잔류 강도를 평가하는 것은 매우 힘든 일이다. 그러나 교통시설의 화재로 인한 피해는 매우 크므로 화재에 대한 안전성 확보는 결코 간과해서는 안 될 중요한 요소이다. 따라서 이런 큰 피해를 줄이기 위한 철근콘크리트 구조물에 대한 정확한 내화성 평가 방법이 절실히 요구된다. 본 연구에서는 철근콘크리트 구조물의 내화성 평가를 위한 비선형 유한요소해석방법의 유효성을 증명하였고, 비선형 유한요소해석방법에 의한 지하차도 내화성 평가 결과를 ACI 216R-89의 결과와 비교하였다.

ANALYSIS OF A MESHFREE METHOD FOR THE COMPRESSIBLE EULER EQUATIONS

  • Kim, Yong-Sik;Pahk, Dae-Hyeon
    • 대한수학회지
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    • 제43권5호
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    • pp.1081-1098
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    • 2006
  • Mathematical analysis is made on a mesh free method for the compressible Euler equations. In particular, the Moving Least Square Reproducing Kernel (MLSRK) method is employed for space approximation. With the backward-Euler method used for time discretization, existence of discrete solution and it's $L^2-error$ estimate are obtained under a regularity assumption of the continuous solution. The result of numerical experiment made on the biconvex airfoil is presented.

강우의 개념적 시간분포와 설계홍수량 산정에 관한 연구 (The Estimations of A Conceptual Time Distribution of Rainfall and Design Flood)

  • 이병운;장대원;김형수;서병하
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2005년도 학술발표회 논문집
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    • pp.937-942
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    • 2005
  • It is necessary to estimate the runoff hydrograph and peak flood discharge using law of probability for synthetic flood control policy and design of hydraulic structures. Rainfall analysis is needed in the process of peak flood discharge estimation and the time distribution of a design rainfall is a very important process in the analysis. In this study, we estimate design flood for a small urban basin and a rural basin of medium scale which have different travel times. The Huff method is widely used in Korea for the time distribution of design rainfall to estimate design flood. So, we use Huff method and a conceptual method which is suggested in this study for the comparative purpose. The 100-year frequency rainfall is used to estimate design flood for each basin and the design flood is compared with the existing design flood. As the result, the design flood is overestimated $14.6m^3/sec$ by Huff method and is underestimated $70.9m^3/sec$ by a conceptual method for the rural basin. For the small urban basin, the design flood is excessively overestimated $294.65m^3/sec$ by Huff method and is overestimated $173m^3/sec$ by a conceptual method. The reason of excessive overestimation by Huff method in the small urban basin is that the increased rate of rainfall intensity according to the decrease of duration is large and the duration exceeds the time of concentration when the increased rainfall intensity is concentrated in a quartile. Therefore, we suggested a conceptual method for the time distribution of design rainfall by considering the rainless period and duration. Especially, the conceptual method might be useful for the small urban basin with short concentration time which the design flood is overestimated by Huff method.

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호스피스의 수가 산정 방안에 관한 연구 (A Study on the Method to Estimate the Cost of Hospice Care)

  • 조현
    • 대한간호학회지
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    • 제24권2호
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    • pp.216-225
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    • 1994
  • The cost of hospice care should be covered by the insurance system if it is to be promoted in our country and this, in turn, requires a proper method to the estimate of this cost. The purpose of this study was to set up the method to estimate the cost of hospice care. First the cost effectiveness of hospice care were studied. By tracing the activities of hospice nurses for a given period, all the relevant data such as the scope and load of activities as well as the cost were collected. Then these were analysed and compared with the data obtained from hospice and home care. The results showed that the cost of hospice care was the most economic, and indicate its qualification as .1n in-dependent system. The main part of the cost of hospice care was found to be the labor cost which was up to 83% of the total. Therefore a method to estimate the cost should reflect the real labor cost. Several methods have been proposed in the study in terms of unit labor cost, service time, material cost, and the weight of the labor cost. All variables, including the service time surveyed in this study, can easily be translated into numerical values and it would not difficult to estmate the cost of hospice care. Hence by letting the hospice care be insured, hospice care can be expected to function as a good alternative to the present medical system.

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Method for estimating workability of self-compacting concrete using mixing process images

  • Li, Shuyang;An, Xuehui
    • Computers and Concrete
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    • 제13권6호
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    • pp.781-798
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    • 2014
  • Estimating the workability of self-compacting concrete (SCC) is very important both in laboratories and on construction site. A method using visual information during the mixing process was proposed in this paper to estimate the workability of SCC. First, fourteen specimens of concrete were produced by a single-shaft mixer. A digital camera was used to record all the mixing processes. Second, employing the digital image processing, the visual information from mixing process images was extracted. The concrete pushed by the rotating blades forms two boundaries in the images. The shape of the upper boundary and the vertical distance between the upper and lower boundaries were used as two visual features. Thirdly, slump flow test and V-funnel test were carried out to estimate the workability of each SCC. Finally, the vertical distance between the upper and lower boundaries andthe shape of the upper boundary were used as indicators to estimate the workability of SCC. The vertical distance between the upper and lower boundaries was related to the slump flow, the shape of the upper boundary was related to the V-funnel flow time. Based on these relationships, the workability of SCC could be estimated using the mixing process images. This estimating method was verified by three more experiments. The experimental results indicate that the proposed method could be used to automatically estimate SCC workability.

A Novel Posterior Probability Estimation Method for Multi-label Naive Bayes Classification

  • Kim, Hae-Cheon;Lee, Jaesung
    • 한국컴퓨터정보학회논문지
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    • 제23권6호
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    • pp.1-7
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    • 2018
  • A multi-label classification is to find multiple labels associated with the input pattern. Multi-label classification can be achieved by extending conventional single-label classification. Common extension techniques are known as Binary relevance, Label powerset, and Classifier chains. However, most of the extended multi-label naive bayes classifier has not been able to accurately estimate posterior probabilities because it does not reflect the label dependency. And the remaining extended multi-label naive bayes classifier has a problem that it is unstable to estimate posterior probability according to the label selection order. To estimate posterior probability well, we propose a new posterior probability estimation method that reflects the probability between all labels and labels efficiently. The proposed method reflects the correlation between labels. And we have confirmed through experiments that the extended multi-label naive bayes classifier using the proposed method has higher accuracy then the existing multi-label naive bayes classifiers.