• 제목/요약/키워드: non-normality

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Bayesian Estimation Procedure in Multiprocess Non-Linear Dynamic Normal Model

  • Sohn, Joong-Kweon;Kang, Sang-Gil
    • Communications for Statistical Applications and Methods
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    • 제3권1호
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    • pp.155-168
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    • 1996
  • In this paper we consider the multiprocess dynamic normal model with parameters having a time dependent non-linear structure. We develop and study the recursive estimation procedure for the proposed model with normality assumption. It turns out thst the proposed model has nice properties such as insensitivity to outliers and quick reaction to abrupt changes of pattern.

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정규화된 주식가격의 평균추세-변동성 지표를 이용한 매매전략 -KOSPI200 을 중심으로- (Buy-Sell Strategy with Mean Trend and Volatility Indexes of Normalized Stock Price)

  • 유성모;김동현
    • 한국통계학회:학술대회논문집
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    • 한국통계학회 2005년도 춘계 학술발표회 논문집
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    • pp.277-283
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    • 2005
  • 주식가격은 일반적으로 정규분포를 따르지 않으며 이러한 비정규성을 띤 주식의 매매전략은 일반적으로 추세 지표, 변동성 지표, 거래량 지표 등을 토대로 수립되며 통계적이기 보다는 직관적이라고 볼 수 있다. 주식가격의 비정규성 문제는 주식가격의 정규화 과정을 통해서 해결 될 수 있으며 통계적인 매매전략은 정규화된 주식가격의 평균추세 지표 및 변동성 지표를 결합하여 작성될 수 있다. 본 논문은 정규화된 주식가격의 평균추세 지표와 변동성 지표를 결합한 매매전략을 제시하였고 이를 KOSPI200에 적용한 결과 성공적인 매매전략이 될 수 있는 가능성을 확인하였다.

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T-test분석을 통한 녹색건축인증 유무에 따른 공동주택의 매매가격 비교 분석 (A Comparison Analysis on the Sales Price of Apartments according to G-SEED by Using T-test)

  • 전상섭;손기영;이주형;오준석;손승현
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2019년도 추계 학술논문 발표대회
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    • pp.207-208
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    • 2019
  • Currently, as the public interest for environmental issues has grown rapidly, the needs for G-SEED have also increased. However, as investment according to eco-friendly elements is inevitable to receive G-SEED certification, it is necessary to find out whether or not the sales price of apartments have increased compared to investment costs. Therefore, the objective of this study is to analyze the sales price of apartments according to G-SEED by using T-test. To achieve the objective, First, variables affecting on the sales price of apartments are selected. Second, the data are collected by using GIS(Geographic Information System). Third, after testing the normality, a comparison analysis is conducted on the sales price between G-SEED certified and non-certified apartments by using T-test. As a result, it is concluded that G-SEED certified apartments are more expensive than non-certified apartments. In the future, these findings can be utilized to develop of apartments price calculation model based on the G-SEED.

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Testing the Equality of Several Correlation Coefficients by Permutation Method

  • Um, Yonghwan
    • 한국컴퓨터정보학회논문지
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    • 제27권6호
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    • pp.167-174
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    • 2022
  • 본 논문에서는 여러 개의 독립적인 모집단들 사이에서 상관계수들의 등가성에 대한 퍼뮤테이션 검정을 조사한다. 퍼뮤테이션 검정은 관측값들의 상호교환성에 기초하는 비모수적인 검정 방법이며 상호교환성이란 독립적이고 동일한 확률변수들의 개념을 일반화한 개념이다. 퍼뮤테이션 검정을 사용함으로써 근사적으로 정확한 검정에 가까운 검정을 실시할 수 있다. 퍼뮤테이션 검정은 근사적으로 보수적인 검정만큼의 검정력을 지니며, 표본의 크기가 작거나 정규성 가정이 충족되지 않을 때 유용한 방법이다. 본 논문에서는 먼저 상관계수들의 등가성을 검정하는 모수적인 방법들을 소개하고 이들을 퍼뮤테이션 검정과 비교한다. 끝으로 모든 검정들은 Iris 데이터를 예를 들어 비교된다.

A General Class of Acceptance-Rejection Distributions and Its Applications

  • 김혜중;염준근;이영섭;조천호;정효상
    • 한국데이터정보과학회:학술대회논문집
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    • 한국데이터정보과학회 2003년도 추계학술대회
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    • pp.19-30
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    • 2003
  • In this paper we present a new family of distributions that allows a continuous variation not only from normality to non-normality but also from unimodality to bimodality. Its properties are especially useful in studying and making inferences about models involving the univariate truncated normal distribution. The properties of the family and its applications are given.

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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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A Multi-period Behavioral Model for Portfolio Selection Problem

  • Pederzoli, G.;Srinivasan, R.
    • 한국경영과학회지
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    • 제6권2호
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    • pp.35-49
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    • 1981
  • This paper is concerned with developing a Multi-period Behavioral Model for the portfolio selection problem. The unique feature of the model is that it treats a number of factors and decision variables considered germane in decision making on an interrelated basis. The formulated problem has the structure of a Chance Constrained programming Model. Then empoloying arguments of Central Limit Theorem and normality assumption the stochastic model is reduced to that of a Non-Linear Programming Model. Finally, a number of interesting properties for the reduced model are established.

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Nonparametric Test for Used Better Than Aged in Convex Ordering Class(UBAC) of Life Distributions with Hypothesis Testing Applications

  • Abu-Youssef, S.E.
    • International Journal of Reliability and Applications
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    • 제10권2호
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    • pp.81-88
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    • 2009
  • A non-parametric procedure is presented for testing exponentially against used better than aged in convex ordering class (UBAC) of life distributions based on u-test. Convergence of the proposed statistic to the normal distribution is proved. Selected critical values are tabulated for sample sizes 5(5)40. The Pitman asymptotic relative efficiency of my proposed test to tests of other classes is studied. An example of 40 patients suffering from blood cancer disease demonstrates practical application of the proposed test.

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도시가계의 피복비지출에 관한 연구 (Clothing Expenditure Analysis of Urban Households)

  • 배미경
    • 대한가정학회지
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    • 제35권1호
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    • pp.415-428
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    • 1997
  • In the present study we examined clothing expenditure patterns and related variables in Korea. In addition we analyzed the differences of clothing expenditure patterns between overall overspenders and non-overspenders. We use the Family Income and Expenditure Study published by the National Statistical Office of Korea. Double logarithm functional forms were used to adjust the normality of sample distribution and multiple regression analyses and t-test were utilized as a statistical tools. The present study was divided into four folders. First the income elasticity of clothing expenditures was examined by different groups such as age job and education levels of households as percentage change of clothing expenditures to a percentage change of income. Second to analyze the effects of demogtraphic and socio-economic variables on clothing expenditure we utlized the standardized coefficients in the separate regression equation by demographic and socio-economic variables. Third using spending to income ratio we investigated the differnces of the clothing expenditure patterns between overall overspenders and non-overspenders. Fourth the effects of independent variables by ovespenders and non-overspenders werediscussed.

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FINITE GROUPS WHICH ARE MINIMAL WITH RESPECT TO S-QUASINORMALITY AND SELF-NORMALITY

  • Han, Zhangjia;Shi, Huaguo;Zhou, Wei
    • 대한수학회보
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    • 제50권6호
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    • pp.2079-2087
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    • 2013
  • An $\mathcal{SQNS}$-group G is a group in which every proper subgroup of G is either s-quasinormal or self-normalizing and a minimal non-$\mathcal{SQNS}$-group is a group which is not an $\mathcal{SQNS}$-group but all of whose proper subgroups are $\mathcal{SQNS}$-groups. In this note all the finite minimal non-$\mathcal{SQNS}$-groups are determined.