• 제목/요약/키워드: Sample Mean

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Allocation in Multi-way Stratification by Linear Programing

  • NamKung, Pyong;Choi, Jae-Hyuk
    • Communications for Statistical Applications and Methods
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    • 제13권2호
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    • pp.327-341
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    • 2006
  • Winkler (1990, 2001), Sitter and Skinner (1994), Wilson and Sitter (2002) present a method which applies linear programing to designing surveys with multi-way stratification, primarily in situation where the desired sample size is less than or only slightly larger than the total number of stratification cells. A comparison is made with existing methods both by illustrating the sampling schemes generated for specific examples, by evaluating sample mean, variance estimation, and mean squared errors, and by simulating sample mean for all methods. The computations required can, however, increase rapidly as the number of cells in the multi-way classification increase. In this article their approach is applied to multi-way stratification using real data.

연유출량 추정모형 개발 (Development of the Annual Runoff Estimation Model)

  • 김양수;정상만;서병하
    • 물과 미래
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    • 제24권3호
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    • pp.95-104
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    • 1991
  • 본 연구에서는 장기 수자원계획시 유역내 가용 수자원을 파악하는데 이용할 수 있는 새로운 연유출량 추정모형의 개발을 시도하였다. 연구범위는 우리나라 전역으로 1945년부터 1988년 까지의 육수량, 유출량 자료를 이용하였다. 모형개발을 위한 표준유역은 유출의 인공조작이 없고 수위자료가 양호하며, 수위-유량 관계곡선이 작성되어 있는 46개 지점을 택하였으며, 표본 유역별로 일수위 자료를 수집, 정리하여 일유출량을 산정하고 합산하여 연유출량을 산정하였다. 또한, 연평균강수량을 산정하여 지점별로 연유출율을 계산하고 이것을 기초로 우리나라 연평균 유출율을 추정하였다. 그리고, 연유출량과 역특성인자들을 이용하여 연유출량 추정모형을 개발하였으며, 실제유역에 적용하여 모형의 합리성을 검토하였다.

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원유내 체세포수 측정을 위한 Fossomatic과 Coulter Counter 방법의 비교 (Comparison of Fossomatic and Coulter Counter Methods for Somatic Cell Count in Raw Milk)

  • 이정구;손봉환;이정길;고홍범
    • 한국동물위생학회지
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    • 제16권1호
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    • pp.1-10
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    • 1993
  • Samples of bulk herd milk, foremilk, last milk (stripping) and individual cow sample were collected and their somatic cell number were counted with Fossomatic counter (FCC), Coulter counter(CC), direct microscopic somatic cell count(DMSCC) and Califormia mastitis test (CMT), The results were compared and summarized as follows : 1. Mean somatic cell counts of 120 bulk herd milk samples obtained by DMSCC, FCC and CC were 433,203, 481,213 and 676,245 respectively. 2. Mean somatic cell counts of 116 foremilk samples obtained by DMSCC, FCC and CC were 515,035, 611,845 and 725,051 respectively 3. Mean somatic cell counts of 87 last milk samples obtained by DMSCC, FCC and CC were 718,506, 839,874 and 1,041,160 respectively. 4. Mean somatic cell counts of 57 individual cow samples obtained by DMSCC, FCC and CC were 449,258, 491,018 and 521,315 respectively. 5. Mean somatic cell counts of all samples increased with the increasing CMT score, and the cell counts were higher by CC than by FCC. 6. The correlation coefficients between the somatic cell counts by CMT and CC were 0.926 in bulk herd milk, 0.707 in foremilk 0.688 in last milk and 0.675 in individual cow sample, respectively 7. The correlation coefficients between the somatic cell counts by CMT and FCC were 0. 945 in bulk herd milk, 0.705 in foremilk 0.694 in last milk and 0.727 in individual cow sample, respectively. 8. The correlation coefficients between the somatic cell counts by CC and FCC were 0.978 in bulk herd milk, 0.997 in foremilk 0.983 in last milk and 0.985 in individual cow sample, respectively.

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Kolmogorov-Smirnov Type Test for Change with Sample Fourier Coefficients

  • Kim, Jae-Hee
    • Journal of the Korean Statistical Society
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    • 제25권1호
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    • pp.123-131
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    • 1996
  • The problerm of testing for a constant mean is considered. A Kolmogorov-Smirnov type test using the sample Fourier coefficients is suggested and its asymptotic distribution is derived. A simulation study shows that the proposed test is more powerful than the cusum type test when there is more than one change-point or there is a cyclic change.

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Three-Way Balanced Multi-level Semi Rotation Sampling Designs

  • 박유성;최재원;김기환
    • 한국통계학회:학술대회논문집
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    • 한국통계학회 2002년도 춘계 학술발표회 논문집
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    • pp.19-24
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    • 2002
  • The two-way balanced one-level rotation design has been discussed (Park, Kim and Choi, 2001), where the two-way balancing is done on interview time in monthly sample and rotation group. We extend it to three-way balanced multi-level design under the most general rotation system. The three-way balancing is accomplished on interview time not only in monthly sample and rotation group but also in recall time. We present the necessary condition and rotation algorithm which guarantee the three-way balancing. We propose multi-level composite estimators (MCE) from this design and derive their variances and mean squared errors (MSE), assuming the correlation from the measurements of the same sample unit and three types of biases in monthly sample.

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일표본 모평균 검정의 지도에 관한 연구 (A Study on Teaching Method of One-Sample Test for Population Mean)

  • 김용택;이장택
    • 한국수학교육학회지시리즈A:수학교육
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    • 제42권3호
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    • pp.419-423
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    • 2003
  • The main purpose of this paper is to investigate effects of skewness and kurtosis on the one-sample test. We have found that type I error brought about a little bit change which is ignorable in relation to kurtosis. Also the change of type I error was completely based on skewness under the same size of the sample. We conclude that using t-test is more similar to robust than using z-test. In introductory statistics classes where data analysis includes techniques for detecting skewness, we recommend the t-test when skewness is smaller than the value 1 to the one-sample test for a mean when the variances is unknown using the probability of a type I error as the criterion of interest.

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A Note on Adaptive Estimation for Nonlinear Time Series Models

  • Kim, Sahmyeong
    • Journal of the Korean Statistical Society
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    • 제30권3호
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    • pp.387-406
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    • 2001
  • Adaptive estimators for a class of nonlinear time series models has been proposed by several authors. Koul and Schick(1997) proposed the adaptive estimators without sample splitting for location-type time series models. They also showed by simulation that the adaptive estimators without sample splitting have smaller mean squared errors than those of the adaptive estimators with sample splitting. the present paper generalized the result in a case of location-scale type nonlinear time series models by simulation.

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변량표본추출간격을 이용한 (equation omitted)x-R 관리도의 연구 (A study on the (equation omitted)x-R control chart with variable sampling interval scheme)

  • 이희춘
    • 산업경영시스템학회지
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    • 제18권33호
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    • pp.143-151
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    • 1995
  • In this design the sampling interval that each sampling time changes according to the valuse of the previous to sample statistics, sample mean and ranges. The VSI scheme uses large sample if the sample statistics appear near in side the control limits and smaller sample otherwise. The efficiency of the VSI scheme is compare to the FSI. It is shown that VSI control chart improves the confidence of the procedure and performens better than FSI control chart.

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Approximate Maximum Likelihood Estimation for the Three-Parameter Weibull Distribution

  • Kang, S.B.;Cho, Y.S.;Choi, S.H.
    • Communications for Statistical Applications and Methods
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    • 제8권1호
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    • pp.209-217
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    • 2001
  • We obtain the approximate maximum likelihood estimators (AMLEs) for the scale and location parameters $\theta$ and $\mu$ in the three-parameter Weibull distribution based on Type-II censored samples. We also compare the AMLEs with the modified maximum likelihood estimators (MMLEs) in the sense of the mean squared error (MSE) based on complete sample.

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A New Method of Simulation Output Analysis : Threshold Bootstrap

  • Kim, Yun-Bae-
    • 한국시뮬레이션학회:학술대회논문집
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    • 한국시뮬레이션학회 1993년도 제3회 정기총회 및 추계학술발표회
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    • pp.2-2
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    • 1993
  • Inference for discrete event simulations usually relies on either independent replications or, if each simulation run is expensive, the method of batch means applied to a single replications. We present a new method, threshold bootstrap, which equals or exceeds the performance of independent replications or batch means. The method works by resampling runs of data created when a stationary time series crosses a threshold level, such as the sample mean of series. Computational results show that the threshold bootstrap matches or exceeds the performance of these alternative methods in estimating the standard deviation of the sample mean and producing valid confidence intervals.

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