• 제목/요약/키워드: Estimates

검색결과 6,478건 처리시간 0.035초

건축프로젝트 개산견적 신뢰도 향상 방안 (Development of Reliability for Conceptual Cost Estimates in Construction Projects)

  • 안성훈;강경인
    • 한국건설관리학회:학술대회논문집
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    • 한국건설관리학회 2006년도 정기학술발표대회 논문집
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    • pp.175-180
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    • 2006
  • 건축 프로젝트의 초기단계에서 실시하는 개산견적의 결과값인 예측된 공사비(개산견적 공사비)는 실제 시공한 후 정산한 공사비(실 공사비)와 차이가 발생할 수밖에 없는 리스크가 존재한다. 따라서 개산견적 공사비를 실 공사비와 비교했을 때 얼마나 정확하며 얼마나 신뢰할 수 있는지 평가하고, 개산견적의 신뢰도를 향상시킬 수 있으면 매우 유용하다. 본 연구는 건축 프로젝트 초기단계에서 실시하는 개산견적의 신뢰도를 견적전문가들의 지식을 활용하여 평가하고 이를 바탕으로 신뢰도 향상을 위한 대안을 제시할 수 있는 방안을 제안하고자 한다. 본 연구를 수행하기 위하여 실제 개산견적을 수행하고 공사를 실시한 83개의 건설 프로젝트 자료를 수집하였다. 본 연구에서 개발한 개산견적의 신뢰도를 평가하는 모델을 이용하게 되면 발주자 또는 의사결정자는 개산견적 공사비가 얼마나 신뢰할 수 있는 파악할 수 있게 된다. 또한 평가에 대한 검토와 피드백이 가능하여 개산견적 신뢰도 향상을 위한 방안을 모색할 수 있게 된다. 이러한 과정을 통해서 개산견적의 신뢰도에 좋지 않는 영향을 주는 요인의 상황(현황)윤 찾아내어 신뢰도 평가가 높게 되도록 상황을 개선시켜 다시 견적하면 개산견적의 신뢰도를 높일 수 있게 된다.

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Comparison of Genetic Parameter Estimates of Total Sperm Cells of Boars between Random Regression and Multiple Trait Animal Models

  • Oh, S.-H.;See, M.T.
    • Asian-Australasian Journal of Animal Sciences
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    • 제21권7호
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    • pp.923-927
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    • 2008
  • The objective of this study was to compare random regression model and multiple trait animal model estimates of the (co) variance of total sperm cells over the active lifetime of AI boars. Data were provided by Smithfield Premium Genetics (Rose Hill, NC). Total number of records and animals for the random regression model were 19,629 and 1,736, respectively. Data for multiple trait animal model analyses were edited to include only records produced at 9, 12, 15, 18, 21, 24, and 27 months of age. For the multiple trait method estimates of genetic and residual variance for total sperm cells were heterogeneous among age classifications. When comparing multiple trait method to random regression, heritability estimates were similar except for total sperm cells at 24 months of age. The multiple trait method also resulted in higher estimates of heritability of total sperm cells at every age when compared to random regression results. Random regression analysis provided more detail with regard to changes of variance components with age. Random regression methods are the most appropriate to analyze semen traits as they are longitudinal data measured over the lifetime of boars.

일반화추정방정식(GEE)에 대한 부스트랩의 적용 (Bootstrap Estimation for GEE Models)

  • 박종선;전용문
    • 응용통계연구
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    • 제24권1호
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    • pp.207-216
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    • 2011
  • 본 논문에서는 일반화추정방정식(GEE)모형에 대한 부스트랩 방법의 적용에 대하여 살펴본다. 다양한 부스트랩 방법들 중 GEE모형에 적용이 가능한 잔차, 쌍 및 점수함수 부스트랩 방법을 가상 및 실제 자료들에 적용한 결과 회귀계수들에 대한 추정치와 표준오차가 점근값들과 차이를 보이는 것으로 나타났다. 따라서 표본수가 크지 않은 경우 부스트랩 방법을 통하여 GEE모형에서의 회귀계수에 대한 추정치화 표준편차를 구하는 것이 효과적임을 알 수 있다.

Association of Marker Loci and QTL from Crosses of Inbred Parental Lines

  • Lee, Gi-Woong
    • Asian-Australasian Journal of Animal Sciences
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    • 제18권6호
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    • pp.772-779
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    • 2005
  • The objectives of this study were to examine problems with using F$_1$ data by simulation, association of marker loci and QTL from crosses of inbred parental lines and to enumerate the preliminary characterization of genetic superiority within inbred parental lines. In this study, the association between markers for QTL used as covariates and estimates of variance components due to effects of lines was investigated through computer simulation. The effects of size of population to develop inbred lines and initial frequencies and magnitudes of effects of QTL were also considered. Results show that estimates of variance components due to line effects are influenced by including marker information as covariates in the model for analysis. Estimates of line variance were increased by adding marker information into the analysis, because negative covariances between effects associated with the markers and the remaining effects associated with other loci existed. However, the fit of the model as indicated by the log likelihood improved by adding more markers as covariates into the analysis. Marker assisted selection will be beneficial when markers explain unexplained genetic difference during selection procedure. Markers can be used to identify QTLs affecting traits, and to select for favorable QTL alleles. To efficiently use genetic markers, location of markers at the genome must be identified. The estimates of variance due to effects of with and without marker information used as covariates in the analysis were investigated. The estimates of line variances were always increased when markers were included as covariates for the model because a negative covariance were existed.

Investigation of Biases for Variance Components on Multiple Traits with Varying Number of Categories in Threshold Models Using Bayesian Inferences

  • Lee, D.H.
    • Asian-Australasian Journal of Animal Sciences
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    • 제15권7호
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    • pp.925-931
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    • 2002
  • Gibbs sampling algorithms were implemented to the multi-trait threshold animal models with any combinations of multiple binary, ordered categorical, and linear traits and investigate the amount of bias on these models with two kinds of parameterization and algorithms for generating underlying liabilities. Statistical models which included additive genetic and residual effects as random and contemporary group effects as fixed were considered on the models using simulated data. The fully conditional posterior means of heritabilities and genetic (residual) correlations were calculated from 1,000 samples retained every 10th samples after 15,000 samples discarded as "burn-in" period. Under the models considered, several combinations of three traits with binary, multiple ordered categories, and continuous were analyzed. Five replicates were carried out. Estimates for heritabilities and genetic (residual) correlations as the posterior means were unbiased when underlying liabilities for a categorical trait were generated given by underlying liabilities of the other traits and threshold estimates were rescaled. Otherwise, when parameterizing threshold of zero and residual variance of one for binary traits, heritability estimates were inflated 7-10% upward. Genetic correlation estimates were biased upward if positively correlated and downward if negatively correlated when underling liabilities were generated without accounting for correlated traits on prior information. Residual correlation estimates were, consequently, much biased downward if positively correlated and upward if negatively correlated in that case. The more categorical trait had categories, the better mixing rate was shown.

Heritability Estimates under Single and Multi-Trait Animal Models in Murrah Buffaloes

  • Jain, A.;Sadana, D.K.
    • Asian-Australasian Journal of Animal Sciences
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    • 제13권5호
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    • pp.575-579
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    • 2000
  • First lactation records of 683 Murrah buffaloes maintained at NDRI, Karnal which were progeny of 84 sires used for comparing the heritability estimates of age at first calving, first lactation milk yield and first service period under single and multiple trait models using restricted maximum likelihood (REML) method of estimation under an individual animal model. The results indicated that the heritability estimates may vary under single and multiple trait models depending upon the magnitude of genetic and environmental correlation among the traits being considered. Therefore, a single or multiple trait model is recommended for estimation of variance components depending upon the goal of breeding programme. However, there may not be any advantage of considering a trait with zero or near zero heritability and having no or very low genetic correlation with other traits in the model. Lower heritability estimates of part lactation yield (120-day milk yield) implied that there may not be any advantage of considering this trait in place of actual 305-day milk yield, whereas, comparable heritability estimates of predicted 305-day milk yield suggested that it could be used for sire evaluation to reduce the cost of milk recording under field conditions.

확률 강우량의 변동성 분석 (An Analysis of the variability of rainfall quantile estimates)

  • 정성인;유철상;윤용남
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2004년도 학술발표회
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    • pp.256-261
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    • 2004
  • Due to the problems of global warming, the frequency of meteorological extremes such as droughts, floods and the annual rainfall amount are suddenly increasing. Even though the increase of greenhouse gases, for example, is thought to be the main factor for global warming, its impact on global climate has not yet been revealed clearly in rather quantitative manners. Therefore, tile objective of this study is to inquire the change of precipitation condition due to climate change by global warming. In brief, this study want to see its assumption if rainfall quantile estimates are really changing. In order to analyze the temporal change, the rainfall quantile estimates at the Seoul rain gauge stations are estimated for the 21-year data period being moved from 1908 to 2002 with 1-year lag. The main objective of this study is to analyze the variability of rainfall quantile estimates using four methods. Next, The changes in confidence interval of rainfall quantile are evaluated by increasing the data period. It has been found that confidence interval of rainfall quantile estimates is reduced as the data period increases. When the hydraulic structures are to be designed, it is important to select the data size and to re-estimate the flood prevention capacity in existing river systems.

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패션리테일링 점포유형별 쇼핑유인력(FaRSTA) 모델 개발에 대한 연구 -다속성 간접평가법 활용- (Development of Fashion Retailing Store Type Attractiveness (FaRSTA) -Indirect Estimates Approach with Multiple Scale Items-)

  • 박진제;이진화
    • 한국의류학회지
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    • 제37권1호
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    • pp.76-89
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    • 2013
  • The exploration of the interaction effect among the components of attractiveness is impossible; therefore, this study uses an indirect estimates approach with multiple scale items that can measure the interaction effect among the components of attractiveness to solve the problem of direct estimates. Previous studies focused on intra-store type competition as their subjects; subsequently, this study dealt with intra-store type competition as well as inter-store type competition in the competing and selecting activities among fashion retailing stores with different business models (such as department stores, road brand stores, discount stores, outlets and internet shopping malls). This study suggests a generalized model for shopping attractiveness of stores and proposes a fashion retailing store type attractiveness (FaRSTA) model instead of a simple relative importance between store selection standards.

한국의료패널의 치과외래 이용 및 의료비 지출에 대한 4년간(2008-2011)의 변화추이 (Dental utilization and expenditures in Korea Health Panel Survey, 2008-2011)

  • 정세환
    • 대한치과의사협회지
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    • 제52권5호
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    • pp.291-301
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    • 2014
  • Korea Health Panel Survey (KHPS) has been conducted to provide nationally representative estimates of health care use and expenditures for non-institutionalized population in Korea since 2008. The aim of this study was to present estimates from KHPS on dental utilization and expenditures from 2008 to 2011. While weighted estimates were presented for each year from 2008 to 2011, the focus of this study was on the 2011 estimates and changes in dental utilization and expenditures between 2008 and 2011. Weighted estimates were obtained using population weights and statistical significances were analysed by independent t-test or ANOVA test using SPSS version 20 for Windows. In 2011, 21.1% of Korean population obtained outpatient dental services from dentists. From 2008 to 2011, the percent of people with a dental visit in each year increased slightly. In 2011, the mean number of dental visits was 4.46. While the mean number of dental visits remained stable by 2010, it increased slightly in 2011. The total annual dental expense in 2011 for people with a visit was about 460,000 Korean Won and 10% higher in 2008. In summary, this study results highlight low rates of dental utilization and high dental expenses in Korean population.

진단검사 정확도 평가지표의 신뢰구간 (The Use of Confidence Interval of Measures of Diagnostic Accuracy)

  • 오태호;박선일
    • 한국임상수의학회지
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    • 제32권4호
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    • pp.319-323
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    • 2015
  • The performance of diagnostic test accuracy is usually summarized by a variety of statistics such as sensitivity, specificity, predictive value, likelihood ratio, and kappa. These indices are most commonly presented when evaluations of competing diagnostic tests are reported, and it is of utmost importance to compare the accuracies of diagnostic tests to decide on the best available test for certain medical disorder. However, it is important to emphasize that specific point values of these indices are merely estimates. If parameter estimates are reported without a measure of uncertainty (precision), knowledgeable readers cannot know the range within which the true values of the indices are likely to lie. Therefore, when evaluations of diagnostic accuracy are reported the precision of estimates should be stated in parallel. To reflect the precision of any estimate of a diagnostic performance characteristic or of the difference between performance characteristics, the computation of confidential interval (CI), an indicator of precision, is widely used in medical literatures in that CIs are more informative to interpret test results than the simple point estimates. The majority of peer-reviewed journals usually require CIs to be specified for descriptive estimates, whereas domestic veterinary journals seem less vigilant on this issues. This paper describes how to calculate the indices and associated CIs using practical examples when assessing diagnostic test performance.