• Title/Summary/Keyword: Difference Means

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The difference between two distribution functions

  • Hong, Chong Sun
    • Journal of the Korean Data and Information Science Society
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    • 제24권6호
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    • pp.1449-1454
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    • 2013
  • There are many methods for measuring the difference between two location parameters. In this paper, statistics are proposed in order to estimate the difference of two location parameters. The statistics are designed not using the means, variances, signs and ranks, but with the cumulative distribution functions. Hence these are measured as the differences in the area between two univariate cumulative distribution functions. It is found that the difference in the area between two empirical cumulative distribution functions is the difference of two sample means, and its integral is also the difference of two population means.

이동 Wi-Fi 환경에서 핑거프린트 기반의 Difference Means를 이용한 실내 위치추정 알고리즘 (The Indoor Localization Algorithm using the Difference Means based on Fingerprint in Moving Wi-Fi Environment)

  • 김태완;이동명
    • 한국통신학회논문지
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    • 제41권11호
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    • pp.1463-1471
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    • 2016
  • 본 논문에서는 Wi-Fi환경에서 실내 위치추정의 성능 향상을 위해 이동 Wi-Fi 환경에서 핑거프린트 기반의 Difference Means를 이용한 실내 위치추정 알고리즘 (Algorithm using the Difference Means based on Fingerprint, DMFPA)을 제안하였다. 그리고 자체 개발한 실내 위치추정 시뮬레이터를 사용하여 제안한 DMFPA의 성능을 일반적인 핑거프린트 알고리즘 (OFPA), 가우시안 분포를 핑거프린트 알고리즘 (GDFPA)의 성능을 서로 비교하였다. 성능분석 항목은 각 참조구역에서의 평균위치추정 정확도, 발생된 오차의 평균오차 누적거리와 최대오차 누적거리, 그리고 평균측정시간으로 정의하였다.

Change Detection in Bitemporal Remote Sensing Images by using Feature Fusion and Fuzzy C-Means

  • Wang, Xin;Huang, Jing;Chu, Yanli;Shi, Aiye;Xu, Lizhong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권4호
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    • pp.1714-1729
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    • 2018
  • Change detection of remote sensing images is a profound challenge in the field of remote sensing image analysis. This paper proposes a novel change detection method for bitemporal remote sensing images based on feature fusion and fuzzy c-means (FCM). Different from the state-of-the-art methods that mainly utilize a single image feature for difference image construction, the proposed method investigates the fusion of multiple image features for the task. The subsequent problem is regarded as the difference image classification problem, where a modified fuzzy c-means approach is proposed to analyze the difference image. The proposed method has been validated on real bitemporal remote sensing data sets. Experimental results confirmed the effectiveness of the proposed method.

Sequential Estimation with $\beta$-Protection of the Difference of Two Normal Means When an Imprecision Function Is Variable

  • Kim, Sung-Lai;Kim, Sung-Kyun
    • Journal of the Korean Statistical Society
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    • 제31권3호
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    • pp.379-389
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    • 2002
  • For two normal distribution with unknown means and unknown variances, a sequential procedure for estimating the difference of two normal means which satisfies both the coverage probability condition and the $\beta$-protection is proposed under some smoothness of variable imprecision function, and the asymptotic normality of the proposed stopping time after some centering and scaling is given.

판매촉진 수단이 의류제품 평가에 미치는 영향 (A Study on Effect of Sales Promotional Marketing Means on Evaluation of Clothing Product)

  • 박진아;김수경;임숙자
    • 복식
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    • 제55권5호
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    • pp.43-54
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    • 2005
  • This study was designed towards female college students to find out how increasing promotional marketing means are affecting the evaluation of clothing products; qualify perception, value perception, and purchase intention. 704 female college students participated in this study and SPSS package was used to analyze gathered data. The results of this study were as follows: First, the use of sales promotional means and preference had a significant difference among students demographic factors(residence, whole Income of the family, allowance, and clothing expenses). Second, qualify perception, value perception, and purchasing intention were the three factors of clothing product evaluation. Third, normal price and $30\%$ sale price clothing was perceived as high quality product and $50\%$ sale price clothing was perceived as high valued product. Purchasing intention was high when low price was suggested or promotional gift was given. Fourth, when considering product price as the factor of product evaluation, there were significant difference between the prices of product. And also, considering the product price, there were significant difference among factors of product evaluation and sales promotional means. Fifth, there was significant correlation between qualify perception, value perception, purchasing intention, usage and preference of promotional means. Further more, value perception was main factor that affected purchasing intention.

Estimating the Difference of Two Normal Means

  • M. Aimahmeed;M. S. Son;H. I. Hamdy
    • Communications for Statistical Applications and Methods
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    • 제7권1호
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    • pp.297-312
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    • 2000
  • A three stage sampling procedure designed to estimate the difference betweentwo normal means is proposed and evaluated within a unified decision-theoretic framework. Both point and fixed-width confidence interval estimation are combined in a single decision rule to make full use of the available data. Adjustments to previous solutions focusing on only one of the latter objectives are indicated. The sensitivity of the confidence interval for detecting shifts in true mean difference is also investigated Numerical and simulation studies are presented to supplement the theoretical results.

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Bayesian Analysis for the Difference of Exponential Means

  • Kang, Sang-Gil;Kim, Dal-Ho;Lee, Woo-Dong
    • 한국데이터정보과학회:학술대회논문집
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    • 한국데이터정보과학회 2005년도 춘계학술대회
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    • pp.135-144
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    • 2005
  • In this paper, we develop the noninformative priors for the exponential models when the parameter of interest is the difference of two means. We develop the first and second order matching priors. We reveal that the second order matching priors do not exist. It turns out that Jeffreys' prior does not satisfy a first order matching criterion. The Bayesian credible intervals based on the first order matching meet the frequentist target coverage probabilities much better than the frequentist intervals of Jeffreys' prior.

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Some Paranormed Difference Sequence Spaces Derived by Using Generalized Means

  • MANNA, ATANU;MAJI, AMIT;SRIVASTAVA, PARMESHWARY DAYAL
    • Kyungpook Mathematical Journal
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    • 제55권4호
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    • pp.909-931
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    • 2015
  • This paper presents some new paranormed sequence spaces $X(r,s,t,p;{\Delta})$ where $X{\in}\{l_{\infty}(p),c(p),c_0(p),l(p)\}$ defined by using generalized means and difference operator. It is shown that these are complete linear metric spaces under suitable paranorms. Furthermore, the ${\alpha}$-, ${\beta}$-, ${\gamma}$-duals of these sequence spaces are computed and also obtained necessary and sufficient conditions for some matrix transformations from $X(r,s,t,p;{\Delta})$ to X. Finally, it is proved that the sequence space $l(r,s,t,p;{\Delta})$ is rotund when $p_n$ > 1 for all n and has the Kadec-Klee property.

Bayesian Analysis for the Difference of Exponential Means

  • Kang, Sang-Gil;Kim, Dal-Ho;Lee, Woo-Dong
    • Journal of the Korean Data and Information Science Society
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    • 제16권4호
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    • pp.1067-1078
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    • 2005
  • In this paper, we develop the noninformative priors for the exponential models when the parameter of interest is the difference of two means. We develop the first and second order matching priors. We reveal that the second order matching priors do not exist. It turns out that Jeffreys' prior does not satisfy the first order matching criterion. The Bayesian credible intervals based on the first order matching meet the frequentist target coverage probabilities much better than the frequentist intervals of Jeffreys' prior.

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교통운송특성을 중심으로 철도운송 관광상품 IPA 분석 (The Importance-Performance Analysis(IPA) of the Tourism Products as a Means of Railway Transportation)

  • 주용준;이용철
    • 한국산학기술학회논문지
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    • 제10권4호
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    • pp.900-907
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    • 2009
  • 본 연구에서는 철도운송과 철도관광열차의 특성을 중심으로 철도관광열차의 선택시 중요도 및 성취도의 차이를 규명하는데 본 연구의 1차적인 목적이 있다. 또한 철도관광열차 이용경험에 따른 중요도 및 성취도 차이점을 규명하고자 하였다. 이에 연구결과를 종합해보면 다음과 같다. 첫째, 교통운송수단으로써 철도관광열차를 선택시 중요도와 성취도에서 25개의 항목에서 차이를 보였다. 둘째, 시급히 개선해야 할 부분인 '집중(Concentrate Here)' 측면에서는 열차내의 냉난방의 온도의 적정성, 연계교통수단의 안내서비스로 파악되었으며, '저순위(Low Priority)' 측면의 항목은 관광열차의 운행 빈도/간격 등 총 26개의 항목으로 현재 수준 이상의 노력투입은 불필요한 것으로 분석되었다. 셋째, 철도관광열차의 경험에 따라 교통운송수단으로써 철도관광열차 선택시 중요도와 성취도에서 차이를 보였다.