• Title/Summary/Keyword: variance estimation.

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Genetic correlations between behavioural responses and performance traits in laying hens

  • Rozempolska-Rucinska, Iwona;Zieba, Grzegorz;Kibala, Lucyna;Prochniak, Tomasz;Lukaszewicz, Marek
    • Asian-Australasian Journal of Animal Sciences
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    • v.30 no.12
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    • pp.1674-1678
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    • 2017
  • Objective: The aim of the study was to evaluate genetic correlations between the behavioural profile and performance in laying hens as an indirect answer to the question whether the observed behavioural responses are associated with increased levels of stress in these birds. Methods: The assessment of birds' temperament was carried out using the novel objects test. The behavioural test was conducted in two successive generations comprising 9,483 Rhode Island White (RIW) birds (approx. 4,700 individuals per generation) and 4,326 Rhode Island Red (RIR) birds (approx. 2,100 individuals per generation). Based on the recorded responses, the birds were divided into two groups: a fearful profile (1,418 RIW hens and 580 RIR hens) and a brave/curious profile (8,065 RIW hens and 3,746 RIR hens). The birds were subjected to standard assessment of their performance traits, including SM, age at sexual maturity; ST, shell thickness; SG, egg specific gravity; EW, mean egg weight; IP, initial egg production; and HC, number of hatched chicks. The pedigree was three generations deep (including two behaviourrecorded generations). Estimation of the (co)variance components was performed with the Gibbs sampling method, which accounts for the discrete character of the behavioural profile denotation. Results: The analyses revealed negative correlations between the performance traits of the laying hens and the behavioural profile defined as fearful. In the group of fearful RIW birds, delayed sexual maturation (0.22) as well as a decrease in the initial egg production (-0.30), egg weight (-0.54), egg specific gravity (-0.331), shell thickness (-0.11), and the number of hatched chicks (-0.24) could be expected. These correlations were less pronounced in the RIR breed, in which the fearful birds exhibited a decline in hatchability (-0.37), egg specific gravity (-0.11), and the number of hatched chicks (-0.18). There were no correlations in the case of the other traits or they were positive but exhibited a substantial standard error, as for the egg weight. Conclusion: To sum up the results obtained, it can be noted that behavioural responses indicating fearfulness, i.e. escape, avoidance, and approach-avoidance may reflect negative emotions experienced by birds. The negative correlations with performance in the group of fearful hens may indirectly indicate a high level of stress in these birds, especially in the white-feathered birds, where stronger performance-fearfulness correlations were found. Fearful birds should be eliminated from breeding by inclusion of the behavioural profile in the selection criterion in the case of laying hens.

Modeling of the Failure Rates and Estimation of the Economical Replacement Time of Water Mains Based on an Individual Pipe Identification Method (개별관로 정의 방법을 이용한 상수관로 파손율 모형화 및 경제적 교체시기의 산정)

  • Park, Su-Wan;Lee, Hyeong-Seok;Bae, Cheol-Ho;Kim, Kyu-Lee
    • Journal of Korea Water Resources Association
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    • v.42 no.7
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    • pp.525-535
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    • 2009
  • In this paper a heuristic method for identifying individual pipes in water pipe networks to determine specific sections of the pipes that need to be replaced due to deterioration. An appropriate minimum pipe length is determined by selecting the pipe length that has the greatest variance of the average cumulative break number slopes among the various pipe lengths used. As a result, the minimum pipe length for the case study water network is determined as 4 m and a total of 39 individual pipe IDs are obtained. The economically optimal replacement times of the individual pipe IDs are estimated by using the threshold break rate of an individual pipe ID and the pipe break trends models for which the General Pipe Break Prediction Model(Park and Loganathan, 2002) that can incorporate the linear, exponential, and in-between of the linear and exponetial failure trends and the ROCOFs based on the modified time scale(Park et al., 2007) are used. The maximum log-likelihoods of the log-linear ROCOF and Weibull ROCOF estimated for the break data of a pipe are compared and the ROCOF that has a greater likelihood is selected for the pipe of interest. The effects of the social costs of a pipe break on the optimal replacement time are also discussed.

Estimation of Genetic Parameter for Carcass Traits According to MTDFREML and Gibbs Sampling in Hanwoo(Korean Cattle) (MTDFREML 방법과 Gibbs Sampling 방법에 의한 한우의 육질형질 유전모수 추정)

  • 김내수;이중재;주종철
    • Journal of Animal Science and Technology
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    • v.48 no.3
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    • pp.337-344
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    • 2006
  • The objective of this study was to compare of genetic parameter estimates on carcass traits of Hanwoo(Korean Cattle) according to modeling with Gibbs sampler and MTDFREML. The data set consisted of 1,941 cattle records with 23,058 animals in pedigree files at Hanwoo Improvement Center. The variance and covariance among carcass traits were estimated via Gibbs sampler and MTDFREML algorithms. The carcass traits considered in this study were longissimus dorsi area, backfat thickness, and marbling score. Genetic parameter estimates using Gibbs sampler and MTDFREML from single-trait analysis were similar with those from multiple-trait analysis. The estimated heritabilities using Gibbs sampler were .52~.54, .54 ~.59, and .42~.44 for carcass traits. The estimated heritabilities using MTDFREML were .41, .52~.53, and .31~.32 for carcass traits. The estimated genetic correlation using Gibbs sampler and MTDFREML of LDA between BF and MS were negatively correlated as .34~.36, .23~.37. Otherwise, genetic correlation between BF and MS was positive genetic correlation as .36~.44. The correlations of breeding value for marbling score between via MTDFREML and via Gibbs sampler were 0.989, 0.996 and 0.985 for LDA, BF and MS respectively.

A Study on the Safe Blasting Design by Statistical Analysis of Ground Vibration for Vibration Controlled Blasting in Urban Area (II) (도심지 미진동 제어발파에서 진동분석을 통한 안전 발파설계에 관한 연구(II) - 진동측정 자료의 통계적 분석을 위주로 -)

  • 김영환;안명석;박종남;강대우;이창우
    • Explosives and Blasting
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    • v.18 no.2
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    • pp.7-13
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    • 2000
  • Abstract The characteristics of bed rock in the study area was classified by means of the crack coefficient estimated from the seismic velocities of in-situ and intact rocks. Various statistical methods were investigated in order to minimize the possible errors in estimating the predictive equation of blasting vibration and to enhance the determination coefficient $R^2$, for more reliable estimation. The determination coefficient showed the highest in the analysis for those groups using weighting function with the number of samples. The analysis for the weighting function employed with standard coefficient and variance also enhanced the determination coefficients significantly compared to the others, but the reliability was slightly lower than results obtained former method. Therefore the most reliable predictive equation of blasting vibration was found to be obtained from a regression analysis of the mean vibration level using the weighting of same distance groups within 15m with the same explosive charge weight per delay. The coefficients, K and n 317.4 and -1.66, respectively, when using the square root scaling, and 209.9 and -1.66, respectively, when using the cube root scaling. The analysis also showed that the square root scaling may be used in the distance less than 31m form the blast source, and the cube root scaling in the distance more than 31m for safe design.

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Factor Analysis and LISREL Model Development for Landscape Estimation on The Road Cutting Slope Area (도로절토사면(절개면)의 경관평가를 위한 요인분석 및 LISREL 모형구축)

  • 지길용;박일동;임성빈;금기정
    • Journal of Korean Society of Transportation
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    • v.21 no.2
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    • pp.33-43
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    • 2003
  • In South Korea, about 74% of total area is mountainous terrain It is therefore inevitable to make tunnel or cutting slope for road construction. According to a related survey, approximately 2,400 sites of cutting slopes were found from 24 different routes of roadway which is overall 900 km long, implying 2.7 slopes per 1km of roadway on average. Even though safety matter such as the slope failure prevention would be the most important consideration for the construction of cutting slopeslandscape of sloped face is nowadays becoming another important factor due to the growing demand for the driver-friendly road environment Various construction methods which attain this goal should therefore be considered in the design stage of the roadway. The objective of this study is to identify important factors in landscape of sloped-cut roadway using factor analysis. For this, 10 main treatment methods of sloped-cut fact were analyzed. This study employed the LISREL(structural analysis of common variance) model in order to capture the qualitative characteristics of the slope-cut road and examine the relationship between the suey error and the variable(s). As a result, more reasonable landscape evaluation model for the road design and construction was proposed.

Development of the RP and SP Combined using Error Component Method (Error Component 방법을 이용한 RP.SP 결합모형 개발)

  • 김강수;조혜진
    • Journal of Korean Society of Transportation
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    • v.21 no.2
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    • pp.119-130
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    • 2003
  • SP data have been widely used in assessing new transport policies and transport related plans. However, one of criticisms of using SP is that respondents may show different reaction between hypothetical experiments and real life. In order to overcome the problem, combination of SP and RP data has been suggested and the combined methods have been being developed. The purpose of this paper is to suggest a new SP and RP combined method using error component method and to verify the method. The error component method decomposes IID extreme value error into non-IID error component(s) and an IID error component. The method estimates both of component parameters and utility parameters in order to obtain relative variance of SP data and RP data. The artificial SP and RP data was created by using simulation and used for the analysis, and the estimation results of the error component method were compared with those of existing SP and RP combined methods. The results show that regardless of data size, the parameters of the error component method models are similar to those assumed parameters much more than those of the existing SP and RP combined models, indicating usefulness of the error component method. Also the values of time for error component method are more similar to those assumed values than those of the existing combined models. Therefore, we can conclude that the error component method is useful in combining SP and RP data and more efficient than the existing methods.

Estimation of Genetic Parameters for Economic Traits and Body Conformations in Korean Native Ogol Fowl (한국재래오골계(韓國在來烏骨鷄)의 경제형질(經濟形質)과 체형(體刑)에 대한 유전모수(遺傳母數)의 추정(推定))

  • Han, Sung Wook;Sang, Byoung Chan;Kim, Hong Ki
    • Korean Journal of Agricultural Science
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    • v.17 no.1
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    • pp.26-33
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    • 1990
  • This study was conducted to estimate heritabilities and genetic correlations of economic traits and body conformations in Korean Native Ogol fowl. The data analyzed were the record of 450 pullets bred from 150 dams and 20 sires of the fowl obtained from June 18, 1987 to February 6, 1989. The results of this study were summarized as follows ; The estimates of heritability for body weight, egg weight and shank length from combined variance components were relatively high, ranging from 0.415 to 0.558, while those for age at first egg, egg production and breast width were moderate, ranging from 0.301 to 0.334. For genetic correlations, body weights were negatively correlated with egg production, ranging from -0.552 to -0.309, while positive correlations were found between body weight and egg weight, ranging from 0.285 to 0.380. Also, egg production was negatively correlated with egg weight, ranging from -0.383 to -0.381. The shank length showed very high positive correlations with the body weights and age at 1st egg, ranging from 0.328 to 0.843. Hence the improvement in shank length will increase the body weight as well as the age at 1st egg.

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Comparison of Three Selection Indexes for Selecting Varieties from Performance Trials of Corn, Zea mays L. (옥수수의 생산력 검정시험에 대한 3가지 선발지수의 효과비교)

  • Choe, Bong-Ho;Cochran, Dale E.
    • Korean Journal of Agricultural Science
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    • v.4 no.1
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    • pp.34-42
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    • 1977
  • Three kinds of selection indexes were calculated and compared for effectiveness in selecting best performing hybrids from yield trial of corn. The following four characters were used in calculating indexes; yield, moisture content, and root and stalk lodging. 1. Among three indexes calculated, William's base index was more simple in calculation and more efficient in selection of a hybrid than other indexes. 2. Pesek and Baker's estimated index was considered less effective in this test, because of low estimation of genetic variance and covariances of characters from the limited materials and years of experiment. 3. Index calculated according to the Purdue University method (1976) was least effective, even though calculation was simple and easy. The less effectiveness of the index was due to the fact that equal importance of characters were given to each character without considering the differences in economic weight of each character. 4. Equations for expressing moisture content and root and stalk lodging in terms of market price were formulated and they were as follow : 1) Moisture content : $(Y-15.5){\times}$0.0065{\times}bushels/acre$, where Y was the average moisture content of a hybrid at the time harvest. The $0.0065 was the expenses required for removing one per cent of moisture from a bushel of shelled corn in 1976. 2) Root and stalk lodging:$Percent\;lodging{\times}price/Bu.{\div}50{\div}average$ yield of all entries in the test.

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A Study on Optimal Output Neuron Allocation of LVQ Neural Network using Variance Estimation (분산추정에 의한 LVQ 신경회로망의 최적 출력뉴런 분할에 관한 연구)

  • 정준원;조성원
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1996.10a
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    • pp.239-242
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    • 1996
  • 본 논문에서는 BP(Back Propagation)에 비해서 빠른 학습시간과 다른 경쟁학습 신경회로망 알고리즘에 비해서 비교적 우수한 성능으로 패턴인식 등에 많이 이용되고 있는 LVQ(Learning Vector Quantization) 알고리즘의 성능을 향상시키기 위한 방법을 논의하고자 한다. 일반적으로 LVQ는 음(negative)의 학습을 하기 때문에 초기 가중치가 제대로 설정되지 않으면 발산할 수 있다는 단점이 있으며, 경쟁학습 계열의 신경망이기 때문에 출력 층의 뉴런 수에 따라 성능에 큰 영향을 받는다고 알려져 있다.[1]. 지도학습 형태를 지닌 LVQ의 경우에 학습패턴이 n개의 클래스를 가지고, 각 클래스 별로 학습패턴의 수가 같은 경우에 일반적으로 전체 출력뉴런에 대해서 (출력뉴런수/n)개의 뉴런을 각 클래스의 목표(desired) 클러스터로 할당하여 학습을 수행하는데, 본 논문에서는 각 클래스에 동일한 수의 출력뉴런을 할당하지 않고, 학습데이터에서 각 클래스의 분산을 추정하여 각 클래스의 분산을 추정분산에 비례하게 목표 출력뉴런을 할당하고, 초기 가중치도 추정분산에 비례하게 각 클래스의 초기 임의 위치 입력백터를 사용하여 학습을 수행하는 방법을 제안한다. 본 논문에서 제안하는 방법은 분류하고자 하는 데이터에 대해서 필요한 최적의 출력뉴런 수를 찾는 것이 아니라 이미 결정되어 있는 출력뉴런 수에 대해서 각 클래스에 할당할 출력 뉴런 수를 데이터의 추정분산에 의해서 결정하는 것으로, 추정분산이 크면 상대적으로 많은 출력 뉴런을 할당하고 작으면 상대적으로 적은 출력뉴런을 할당하고 초기 가중치도 마찬가지 방법으로 결정하며, 이렇게 하면 정해진 출력뉴런 개수 안에서 각 클래스 별로 분류의 어려움에 따라서 출력뉴런을 할당하기 때문에 미학습 뉴런이 줄어들게 되어 성능의 향상을 기대할 수 있으며, 실험적으로 제안된 방법이 더 나은 성능을 보임을 확인했다.initially they expected a more practical program about planting than programs that teach community design. Many people are active in their own towns to create better environments and communities. The network system "Alpha Green-Net" is functional to support graduates of the course. In the future these educational programs for citizens will becomes very important. Other cities are starting to have their own progrms, but they are still very short term. "Alpha Green-Net" is in the process of growing. Many members are very keen to develop their own abilities. In the future these NPOs should become independent. To help these NPOs become independent and active the educational programs should consider and teach about how to do this more in the future.단하였는데 그 결과, 좌측 촉각엽에서 제4형의 신경연접이 퇴행성 변화를 나타내었다. 그러므로 촉각의 지각신경세포는 뇌의 같은 족 촉각엽에 뻗어와 제4형 신경연접을 형성한다고 결론되었다.$/ 값이 210 $\mu\textrm{g}$/$m\ell$로서 효과적인 저해 활성을 나타내었다 따라서, 본 연구에서 빈

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Relation between Risk and Return in the Korean Stock Market and Foreign Exchange Market (주가와 환율의 위험-수익 관계에 대한 연구)

  • Park, Jae-Gon;Lee, Phil-Sang
    • The Korean Journal of Financial Management
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    • v.26 no.3
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    • pp.199-226
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    • 2009
  • We examine the intertemporal relation between risk and return in the Korean stock market and foreign exchange market based on the two factor ICAPM framework. The standard GARCH model and the GJR(1993) model are employed to estimate conditional variances of the stock returns and foreign exchange rates. The covariance between the rates of stock returns and changes in the exchange rates are estimated by the constant conditional correlation model of Bollerslev(1990) and the dynamic conditional correlation model of Engle(2002). The multivariate GARCH in mean model and quasi-maximum likelihood estimation method, consequently, are applied to investigate riskreturn relation jointly. We find that the estimated coefficient of relative risk aversion is negative and statistically significant in the post-financial crisis sample period in the Korean stock market. We also show that the expected stock returns are negatively related to the dynamic covariance with foreign exchange rates. Both estimated parameters of conditional variance and covariance in the foreign exchange market, however, are not statistically significant. The GJR model is better than the standard GARCH model to estimate the conditional variances. In addition, the dynamic conditional correlation model has higher explanatory power than the constant correlation model. The empirical results of this study suggest following two points to investors and risk managers in hedging and diversifying strategies for their portfolios in the Korean stock market: first, the variability of foreign exchange rates should be considered, and second, time-varying correlation between stock returns and changes in foreign exchange rates supposed to be considered.

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