지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국통계학회 CSAM(Communications for Statistical Applications and Methods) CSAM(Communications for Statistical Applications and Methods) 제23권 제4호
- 발행연도
- 2016.7
- 수록면
- 321 - 334 (14page)
이용수
초록· 키워드
오류제보하기
In this paper, we propose power t distribution based on t distribution. We also study the properties of and inferences for power t model in order to solve the problem of real data showing both skewness and heavy tails. The comparison of skew t and power t distributions is based on density plots, skewness and kurtosis. Note that, at the given degree of freedom, the kurtosis’s range of the power t model surpasses that of the skew t model at all times. We draw inferences for two parameters of the power t distribution and four parameters of the location-scale extension of power t distribution via maximum likelihood. The Fisher information matrix derived is nonsingular on the whole parametric space; in addition we obtain the profile log-likelihood functions on two parameters. The response plots for different sample sizes provide strong evidence for the estimators’ existence and unicity. An application of the power t distribution suggests that the model can be very useful for real data.
목차
등록된 정보가 없습니다.
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Multivariate measures of skewness for the scale mixtures of skew-normal distributions
CSAM(Communications for Statistical Applications and Methods)
2018 .03
-
The skew-t censored regression model: parameter estimation via an EM-type algorithm
CSAM(Communications for Statistical Applications and Methods)
2022 .05
-
A new extended alpha power transformed family of distributions: properties, characterizations and an application to a data set in the insurance sciences
CSAM(Communications for Statistical Applications and Methods)
2021 .01
-
Influence diagnostics for skew-t censored linear regression models
CSAM(Communications for Statistical Applications and Methods)
2023 .11
-
Families of Distributions Arising from Distributions of Ordered Data
CSAM(Communications for Statistical Applications and Methods)
2015 .03
-
Some counterexamples of a skew-normal distribution
CSAM(Communications for Statistical Applications and Methods)
2019 .11
-
Likelihood-based inference for the ratio of shape parameters of generalized exponential distributions
한국데이터정보과학회지
2018 .05
-
A two-parameter discrete distribution with a bathtub hazard shape
CSAM(Communications for Statistical Applications and Methods)
2017 .01
-
이변량 왜도, 첨도 그리고 표면그림
한국데이터정보과학회지
2017 .09
-
Small sample likelihood-based inference for the ratio of two independent Lévy distributions
한국데이터정보과학회지
2025 .03
-
A spatial heterogeneity mixed model with skew-elliptical distributions
CSAM(Communications for Statistical Applications and Methods)
2022 .05
-
Likelihood-based inference for the ratio of the parameters of the inverse exponential distributions
한국데이터정보과학회지
2019 .11
-
Parametric survival model based on the Lévy distribution
CSAM(Communications for Statistical Applications and Methods)
2019 .09
-
Statistical properties on generalized half-logistic distribution
한국데이터정보과학회지
2020 .03
-
Use of beta-P distribution for modeling hydrologic events
CSAM(Communications for Statistical Applications and Methods)
2018 .01
-
A Comparison of Size and Power of Tests of Hypotheses on Parameters Based on Two Generalized Lindley Distributions
CSAM(Communications for Statistical Applications and Methods)
2015 .05
-
Tests Based on Skewness and Kurtosis for Multivariate Normality
CSAM(Communications for Statistical Applications and Methods)
2015 .07
-
On the maximum likelihood estimation for a normal distribution under random censoring
CSAM(Communications for Statistical Applications and Methods)
2018 .11
-
On the maximum likelihood estimators for parameters of a Weibull distribution under random censoring
CSAM(Communications for Statistical Applications and Methods)
2016 .05
-
Objective Bayesian inference based on upper record values from Rayleigh distribution
CSAM(Communications for Statistical Applications and Methods)
2018 .07
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2023-310-001572784