• 제목/요약/키워드: standard error of mean

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Holstein 암소 혈청(血淸)의 화학성분(化學成分)에 관(關)하여 (Studies on Serum Chemical Values of Holstein Cows)

  • 문희철
    • 대한수의학회지
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    • 제14권2호
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    • pp.173-177
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    • 1974
  • Thirty of healthy non-pregnant Holstein cows being raised in the vicinity of Daejeon, which had been delivered of calves 4 to 6 times since they were imported to Korea, were selected with the purpose of serum chemical analysis. Total protein, albumin, globulin, total cholesterol, urea nitrogen and glucose and A/G ratio were investigated. The results of present investigation were summarized as follows: 1. Ranges and mean values (with standard error) of total protein, albumin and globulin were 6.87~8.58g/100ml, $7.75{\pm}0.60g/100ml$; 2.6~3.5g/100ml(37.1~45.0%), $3.26{\pm}0.27g/100ml$(40.1%); and 3.78~5.48g/100ml(55.1~64.6%), $4.51{\pm}0.43g/100ml$(58.1%), respectively. 2. Range and mean value (with standard error) of A/G ratio were 0.52~0.86 and 0.73~0.093. 3. Range and mean value (with standard error) of glucose were 35~50mg/100ml and $45.2{\pm}9.1mg/100ml$. 4. Range and mean value(with standard error) of total cholesterol were 122~228mg/100ml and $194.6{\pm}11.1mg/100ml$. 5. Serum urea nitrogen showed that the range of 10.5~15.1mg/100ml and the mean value(with standard error) of $12.7{\pm}1.5mg/100ml$.

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ESTIMATING VARIOUS MEASURES IN NORMAL POPULATION THROUGH A SINGLE CLASS OF ESTIMATORS

  • Sharad Saxena;Housila P. Singh
    • Journal of the Korean Statistical Society
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    • 제33권3호
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    • pp.323-337
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    • 2004
  • This article coined a general class of estimators for various measures in normal population when some' a priori' or guessed value of standard deviation a is available in addition to sample information. The class of estimators is primarily defined for a function of standard deviation. An unbiased estimator and the minimum mean squared error estimator are worked out and the suggested class of estimators is compared with these classical estimators. Numerical computations in terms of percent relative efficiency and absolute relative bias established the merits of the proposed class of estimators especially for small samples. Simulation study confirms the excellence of the proposed class of estimators. The beauty of this article lies in estimation of various measures like standard deviation, variance, Fisher information, precision of sample mean, process capability index $C_{p}$, fourth moment about mean, mean deviation about mean etc. as particular cases of the proposed class of estimators.

시간-온도 파라미터법과 최소구속법에 의한 크리프 수명예측과 오차 분석 (Creep-Life Prediction and Its Error Analysis by the Time Temperature Parameters and the Minimum Commitment Method)

  • 윤송남;류우석;이원;김우곤
    • 대한기계학회논문집A
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    • 제31권2호
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    • pp.160-165
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    • 2007
  • To predict long-term creep life from short-term creep life data, various parametric methods such as Larson-Mille. (L-M), Orr-Sherby-Dorn (O-S-D), Manson-Haferd (M-H) parameters, and a Minimum Commitment Method (MCM) were suggested. A number of the creep data were collected through literature surveys and experimental data produced in KAERI. The polynomial equations for type 316LN SS were obtained by the time-temperature parameters (TTP) and the MCM. Standard error (SE) and standard error of mean (SEM) values were obtained and compared with the each method for various temperatures. The TTP methods showed good creep-life prediction, but the MCM was much superior to the TTP ones at $700^{\circ}C$ and $750^{\circ}C$. It was found that the MCM were lower in the SE values when compared to the TTP methods.

Type 316LN 스테인리스강의 크리프 수명예측과 오차분석 (Creep Life Prediction and Error Analysis for Type 316LN Stainless Steel)

  • 이원;윤송남;김우곤;류우석
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2006년도 춘계학술대회 논문집
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    • pp.109-110
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    • 2006
  • Various parametric methods, Larson-Miller (L-M), Orr-Sherby-Dorn (O-S-D), Manson-Haferd (M-H) parameters, and minimum commitment method (MCM), were used to predict longer rupture time from short-term creep data. A number of the creep data were collected through literature surveys and experimental data produced in KAERI for predicting the creep type of type 316LN SS. Polynomial equations for predicting the creep life were obtained by the time-temperature parameters (TTP) and the MCM. standard error (SE) and standard error or mean (SEM) values were compared for the each method with temperatures. The TTP methods were good in the creep-life prediction, but the MCM was much superior to the TTP ones at $700^{\circ}C\;and\;750^{\circ}C$. The MCM was found to be lower in the SE values compared to the TTP methods

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시화호.인천연안 환경자료의 오차범위 분석 (Error Bounds Analysis of the Environmental Data in Lake Shihwa and Incheon Coastal Zone)

  • 조홍연
    • Ocean and Polar Research
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    • 제30권2호
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    • pp.149-158
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    • 2008
  • The characteristic analysis of the estimated population parameters, i.e., standard deviation and error bound of coastal pollutant concentrations (hereafter PC, i.e., COD, TN, and TP concentrations), was carried out by using environmental data with different sampling frequency in Lake Shihwa and Incheon coastal zone. The results clearly show that standard deviation of the PC increases as its mean value increases. The error bounds of the annual mean values based on seasonally measured DO concentrations and PC data in Incheon coastal zone were estimated as ranges 2.26 mg/l, $0.68{\sim}0.86\;mg/l$, $0.62{\sim}0.80\;mg/l$, and $0.074{\sim}0.082\;mg/l$, respectively. In terms of annual mean of the DO concentration and PC in Lake Shihwa, the error bounds based on monthly measured data from 1997 to 2003 were also estimated as ranges 4.0 mg/l, 3.0 mg/l, $0.5{\sim}1.0\;mg/l$, and 0.05 mg/l, respectively. The error bound on the basis of real-time monitoring data is $7{\sim}13%$ only as compared to that of monthly measured data.

Signal-to-Noise Ratio Formulas of a Scalar Gaussian Quantizer Mismatched to a Laplacian Source

  • 이재건;나상신
    • 한국통신학회논문지
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    • 제36권6C호
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    • pp.384-390
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    • 2011
  • The paper derives formulas for the mean-squared error distortion and resulting signal-to-noise (SNR) ratio of a fixed-rate scalar quantizer designed optimally in the minimum mean-squared error sense for a Gaussian density with the standard deviation ${\sigma}_q$ when it is mismatched to a Laplacian density with the standard deviation ${\sigma}_q$. The SNR formulas, based on the key parameter and Bennett's integral, are found accurate for a wide range of $p\({\equiv}\frac{\sigma_p}{\sigma_q}\){\geqq}0.25$. Also an upper bound to the SNR is derived, which becomes tighter with increasing rate R and indicates that the SNR behaves asymptotically as $\frac{20\sqrt{3{\ln}2}}{{\rho}{\ln}10}\;{\sqrt{R}}$ dB.

정면충돌 시험결과와 딥러닝 모델을 이용한 흉부변형량의 예측 (Prediction of Chest Deflection Using Frontal Impact Test Results and Deep Learning Model)

  • 이권희;임재문
    • 자동차안전학회지
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    • 제15권1호
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    • pp.55-62
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    • 2023
  • In this study, a chest deflection is predicted by introducing a deep learning technique with the results of the frontal impact of the USNCAP conducted for 110 car models from MY2018 to MY2020. The 120 data are divided into training data and test data, and the training data is divided into training data and validation data to determine the hyperparameters. In this process, the deceleration data of each vehicle is averaged in units of 10 ms from crash pulses measured up to 100 ms. The performance of the deep learning model is measured by the indices of the mean squared error and the mean absolute error on the test data. A DNN (Deep Neural Network) model can give different predictions for the same hyperparameter values at every run. Considering this, the mean and standard deviation of the MSE (Mean Squared Error) and the MAE (Mean Absolute Error) are calculated. In addition, the deep learning model performance according to the inclusion of CVW (Curb Vehicle Weight) is also reviewed.

Holstein 암소의 혈액상(血液像)에 관하여 (Studies on the Blood Picture of Holstein Cows in Korea)

  • 문희철;최희인;정창국
    • 대한수의학회지
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    • 제14권1호
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    • pp.9-16
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    • 1974
  • The literature on the hematology of dairy cattle contains very important information of physiological and clinical field, but a comprehensive survey on the blood picture of Holstein cows has not been made yet in Korea. The object of the present investigation was to make good this deficiency, and to suggest standards for the blood picture of Holstein cows kept under average farming condition in this country. Observations were made on the blood picture of 30 healthy non-pregnant Holstein cows aging from 6 to 10 years. All of them were selected at random from 15 livestock farms of Deajeon area in order to determine the hematological values from January to Feburary, 1974. The ranges and mean values of erythrocyte count, hemoglobin in blood, hematocrit value, mean corpuscular volume, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration, and total and differential leukocyte count were determined. The result obtained in this work were summerized as follows: 1. Ranges and mean values(with standard error) of erythrocyte count, hemoglobin in blood and hematocrit values were 4.90~7.82 and $5.83{\pm}0.12{\times}10^6/mm^3$, 7.8~10.3 and $8.7{\pm}0.11g/100ml$, and 26~38 and $30.2{\pm}0.53$ mI/100 ml, respectively. 2. Mean corpuscular hemoglobin, mean corpuscular volume, and mean corpuscular hemoglobin concentration showed ranges and mean values(with standard error) of 13.2~17.4 and $14.8{\pm}0.22$ pg, 46.0~71.8 and $52.3{\pm}0.31{\mu}m^3$, and 21.6~32.7 and $28.6{\pm}0.47$ g/100 ml, respectively. 3. Total leukocyte count showed a range of 6,300~13,600 and a mean value(with standard error) of $10,035{\pm}346/mm^3$. 4. Ranges and mean values(with standard error) of differential leukocyte counts of total neutrophil were 21~40 and $36.4{\pm}0.7%$, 1,638~4,080 and $3,233{\pm}111/mm^3$, of band neutrophil 0~9 and $3.9{\pm}0.5%$, 0~1,028 and $390{\pm}54/mm^3$, of segmented neutrophil 18~35 and $28.4{\pm}0.7%$, 1,386~3,672 and $2,842{\pm}103/mm^3$, of lymphocyte 46~69 and $55.3{\pm}1.1%$, 3,380~8,976 and $5,535{\pm}263/mm^3$, of monocyte 0~4 and $1.7{\pm}0.2%$, 0~324 and $116{\pm}21/mm^3$, of eosinophil 4~15 and $10.8{\pm}0.6%$, 540~1,725 and $1,082{\pm}72/mm^3$. No basophil was observed in this work.

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Bayesian inference in finite population sampling under measurement error model

  • Goo, You Mee;Kim, Dal Ho
    • Journal of the Korean Data and Information Science Society
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    • 제23권6호
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    • pp.1241-1247
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    • 2012
  • The paper considers empirical Bayes (EB) and hierarchical Bayes (HB) predictors of the finite population mean under a linear regression model with measurement errors We discuss how to calculate the mean squared prediction errors of the EB predictors using jackknife methods and the posterior standard deviations of the HB predictors based on the Markov Chain Monte Carlo methods. A simulation study is provided to illustrate the results of the preceding sections and compare the performances of the proposed procedures.

Large-sample comparisons of calibration procedures when both measurements are subject to error

  • Lee, Seung-Hoon;Yum, Bong-Jin
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 1990년도 춘계공동학술대회논문집; 한국과학기술원; 28 Apr. 1990
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    • pp.254-262
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    • 1990
  • A predictive functional relationship model is presented for the calibration problem in which the standard as well as the nonstandard measurements are subject to error. For the estimation of the relationship between the two measurements, the ordinary least squares and maximum likelihood estimation methods are considered, while for the prediction of unknown standard measurementswe consider direct and inverse approaches. Relative performances of those calibration procedures are compared in terms of the asymptotic mean square error of prediction.

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