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A STUDY ON EROSION (CAUSES AND REMEDIES) BASED ON HYDROLOGICAL DATA

  • K.M. Ibe, Sr;H. Krynen
    • Water Engineering Research
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    • v.2 no.4
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    • pp.269-276
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    • 2001
  • The project concentrates on an hydrological analysis. The analysis consists of rainfall, infiltration, Determination of runoff and sediment yield. The risque of erosion and the control measures are related to the slopes and land use. Therefore the first approach to erosion must be correct land use based on land classification. Basically there are two types of mechanical protection works; Drainage and Storage. Realization of a drainage system will be very costly and therefore temporary storage is preferred. For farmland in flat areas hardly any measures are needed. For farmland on slopes temporary storage can be effected by applying tillage with ridges within contour bunds. Along roads infiltration pits should be constructed and in areas with houses, the solution to avoid runoff will be water harvesting.

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Classification of Keywords of the papers from the Journal of Korean Academy of Nursing Administration(2002-2006) (간호행정학회지 게재논문 주요어 분석(2002년${\sim}$2006년))

  • Seomun, Gyeong-Ae;Kim, In-A;Koh, Myung-Suk
    • Journal of Korean Academy of Nursing Administration
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    • v.13 no.1
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    • pp.118-122
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    • 2007
  • Purpose: This study was to understand the major subjects of the recent nursing research in Nursing administration from keywords. Method: Keywords of journals were extracted and the frequency of the appearance of each key words was sorted by a descending order. Results: A total of 327 key words were used. The most frequently used key words were 'Job satisfaction', 'Organizational commitment', 'Leadership'. Out of them, organizational culture, nursing performance, nursing classification, patient satisfaction, and ethics appeared most frequently in descending order. Conclusion: From the above it can be noted that many nursing administration concepts were handled in the papers. But there were not enough papers on the characteristics of the Nursing administration. It is suggested that in depth research be made on 'Nursing error', 'Nursing informatics', 'Web based learning'.

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A General Multivariate EWMA Control chart

  • Choi, SungWoon;Lee, SaangHoon
    • Management Science and Financial Engineering
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    • v.6 no.1
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    • pp.1-19
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    • 2000
  • This papeer proposes a general approach of the multivariate expontially weighted moving average(MEWMA) chart, in which the smoothing matrix has full elements instead of only diagonal elements. The average run length (ARL) properties of this scheme are examined for a diverse set of quality control environments and the information to design the chhart is provied. Performance of the scheme is measured by estmating ARL and compared to those of two group cumulative sum (CUSUM) chats. The comparison resullts show that the MEWMA chart can improve its ARL performance in detecting a small shifts out-of-control in the start-up stage, the general MEWMA chart of a full smoothing matrix appears to offer an exceptional protection aginst departures from control in the process mean.

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Implementation of Randomized Response Technique at Internet Survey

  • Park, Hee-Chang;Nam, Ki-Seong;Lee, Gi-Sung
    • Communications for Statistical Applications and Methods
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    • v.8 no.3
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    • pp.731-737
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    • 2001
  • In this paper, we suggest and implement an internet survey system cooperating the randomized response technique(RRT). We compare it with the direct survey. RRT is an indirect survey method to get true information from the respondent who is conceived to have sensitive character without revealing his/her status. We implement our system(method) based a data-base system, so it common all kind of data obtained through internet surveys. This system also can be used in spot survey independently.

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Bayesian Methods for Generalized Linear Models

  • Paul E. Green;Kim, Dae-Hak
    • Communications for Statistical Applications and Methods
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    • v.6 no.2
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    • pp.523-532
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    • 1999
  • Generalized linear models have various applications for data arising from many kinds of statistical studies. Although the response variable is generally assumed to be generated from a wide class of probability distributions we focus on count data that are most often analyzed using binomial models for proportions or poisson models for rates. The methods and results presented here also apply to many other categorical data models in general due to the relationship between multinomial and poisson sampling. The novelty of the approach suggested here is that all conditional distribution s can be specified directly so that staraightforward Gibbs sampling is possible. The prior distribution consists of two stages. We rely on a normal nonconjugate prior at the first stage and a vague prior for hyperparameters at the second stage. The methods are demonstrated with an illustrative example using data collected by Rosenkranz and raftery(1994) concerning the number of hospital admissions due to back pain in Washington state.

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