• Title/Summary/Keyword: Statistical survey

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Weight Reduction Method for Outlier in Survey Sampling

  • Kim Jin
    • Communications for Statistical Applications and Methods
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    • v.13 no.1
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    • pp.19-27
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    • 2006
  • Outliers in survey are a perennial problem for applied survey statisticians to estimate the total or mean of population. The influence of outliers is more increasing as they have large weights in survey sampling. Many techniques have been studied to lower the impact of outliers on sample survey estimates. Outliers can be downweighted by winsorization or reducing the weight of outliers. The weight reduction is more reasonable than replacing one outlier by one value of non-outliers, because it has at least one unit. In this paper, we suggest the square root transformation of weight as the weight reduction method. We show this method is efficient with real data, and it's also easy to apply in practical affairs.

Application Scheme of Hybrid Data Mining for Fused Data in Statistical Survey (통계조사에서의 퓨전된 자료에 대한 하이브리드 데이터마이닝의 적용 방안)

  • Park, Hee-Chang;Cho, Kwang-Hyun
    • The Korean Journal of Applied Statistics
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    • v.21 no.3
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    • pp.399-411
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    • 2008
  • Today, the statistical survey has been carried out variously for the decision-making and administration of the organization. We use the different items in the statistical survey according to the purpose of study. Currently, Gyeongnam province is executing the social index survey to the provincials every year. But, this survey has the limit of the analysis as execution of the different survey per 3 year cycles. The solution for this problem is data fusion technique. Data fusion is generally defined as the use of techniques that collect to combine data including multiple sources in order to raise the quality of information. But, data fusion doesn't mean the ultimate result. Therefor, efficient analysis for the fused data is also important. In this study, we suggest the application methodology of neural network by latent variable through the fused data in statistical survey.

A Sampling Design of the Agricultural Machine Estimated Sales Survey

  • Park, Jinwoo
    • Communications for Statistical Applications and Methods
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    • v.8 no.2
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    • pp.375-382
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    • 2001
  • The agricultural machine estimated sales survey is a survey to estimate annual sales quantities of eight major agricultural machines such as tracter, combine, etc. The purpose of this study is to design a multipurpose sample for the agricultural machine estimated sales survey. Main achievements of this study are to present an efficient stratification criterion and to suggest a reasonable estimation method by using the concept of post-stratification.

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A Sampling Design of the Korean Anthropometric Survey

  • Park, Jinwoo;Kim, JinHo;Hwang, Inkeuk
    • Communications for Statistical Applications and Methods
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    • v.10 no.3
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    • pp.707-718
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    • 2003
  • The Korean Anthropometric Survey (Size Korea) is a sample survey which estimates on percentiles of several dimensional measurements of the human body and its component parts. The purpose of this study is to design a sample, which is designed on the base of 1997 survey database. Two different methods are considered to get the sample size for estimating the 5th and 95th percentile of body dimensions of Korean age range 0-80 years.

A Brief Guide to Statistical Analysis and Presentation for the Plant Pathology Journal

  • Jeon, Junhyun
    • The Plant Pathology Journal
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    • v.38 no.3
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    • pp.175-181
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    • 2022
  • Statistical analysis of data is an integral part of research projects in all scientific disciplines including the plant pathology. Appropriate design, application and interpretation of statistical analysis are also, therefore, at the center of publishing and properly evaluating studies in plant pathology. A survey of research works published in the Plant Pathology Journal, however, cast doubt on high standard of statistical analysis required for scientific rigor and reproducibility in the journal. Here I first describe, based on the survey of published works, what mistakes are commonly made and what components are often lacking during statistical analysis and interpretation of its results. Next, I provide possible remedies and suggestions to help guide researchers in preparing manuscript and reviewers in evaluating manuscripts submitted to the Plant Pathology Journal. This is not aiming at delineating technical and practical details of particular statistical methods or approaches.

Monte Carlo simulation for verification of nonparametric tests used in final status surveys of MARSSIM at decommissioning of nuclear facilities

  • Sohn, Wook;Hong, Eun-hee
    • Nuclear Engineering and Technology
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    • v.53 no.5
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    • pp.1664-1675
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    • 2021
  • In order to verify the statistical performance of the nonparametric tests used in the MARSSIM approach, all plausible contamination distribution types that can be encountered in a survey area should be investigated. As the first of such investigations, this study aims to perform the verification for normal distribution of the contamination in a survey area by simulating the collection of random samples from it through the Monte Carlo simulation. The results of the simulations conducted for a total of 81 simulation cases showed that Sign test and WRS test both exhibited an excellent statistical performance: 100% for the former and 98.8% for the latter. Therefore, in final status surveys of the MARSSIM approach, a high statistical performance can be expected in applying the nonparametric hypothesis tests to survey areas whose net contamination can be assumed to be normally distributed.

A Study for Worker's Change of Average Time on the Time Use Survey

  • Nam, Ki-Seong;Kim, Hee-Jae
    • Journal of the Korean Data and Information Science Society
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    • v.16 no.4
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    • pp.849-860
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    • 2005
  • This Paper analyzed activities of the average time use survey in 1999 and 2004 by Korea National Statistical Office. The survey of National Statistical Office considered general analysis for activities like that personal care(eating), employment and study, leisure, travel by purpose. Change of time of living causes a lot of effects on society whole economy, culture etc., and is used basic data in policy proposal of the country and enterprise's marketing operation establishment. Analysis for average time could look at change in a role of gender, holiday of saturday's enforcement and increasing of temporary post. Using this analysis we can do more developed and analytical sociological study.

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A Combined Method Compensating for Wave Nonresponse

  • Park, Jinwoo
    • Journal of the Korean Statistical Society
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    • v.31 no.4
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    • pp.469-482
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    • 2002
  • This paper suggests a new method of compensating for wave nonresponse in panel survey, which combines weighting adjustment and imputation. By deleting less frequent nonresponse patterns, we can get simplicity. A new mean estimator under the new combining method is provided and a limited simulation study employing a real data is conducted.

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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