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) 제29권 제1호
- 발행연도
- 2022.1
- 수록면
- 1 - 25 (25page)
이용수
초록· 키워드
오류제보하기
A modified Bagdonavičius-Nikulin chi-square goodness-of-fit is defined and studied. The lymphoma data is analyzed using the modified goodness-of-fit test statistic. Different non-Bayesian estimation methods under complete samples schemes are considered, discussed and compared such as the maximum likelihood least square estimation method, the Cramer-von Mises estimation method, the weighted least square estimation method, the left tail-Anderson Darling estimation method and the right tail Anderson Darling estimation method. Numerical simulation studies are performed for comparing these estimation methods. The potentiality of the new model is illustrated using three real data sets and compared with many other well-known generalizations.
목차
Abstract
1. Introduction and motivation
2. Non-Bayesian estimation methods under complete samples schemes
3. Comparing the non-Bayesian estimation methods under complete samples schemes via a simulation study
4. Comparing models under complete samples
5. Censored MLE
6. Modified Bagdonavičius-Nikulin validation test
7. Data analysis (right censored case)
8. Conclusions
References
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
A new extension of Lindley distribution: modified validation test, characterizations and different methods of estimation
CSAM(Communications for Statistical Applications and Methods)
2019 .09
-
Estimation of structural vector autoregressive models
CSAM(Communications for Statistical Applications and Methods)
2017 .09
-
Gradual Change Estimation in AR(1) Models
Quantitative Bio-Science
2020 .11
-
Novel estimation based on a minimum distance under the progressive Type-II censoring scheme
CSAM(Communications for Statistical Applications and Methods)
2023 .07
-
Tests based on EDF statistics for randomly censored normal distributions when parameters are unknown
CSAM(Communications for Statistical Applications and Methods)
2019 .09
-
Comparison of parameter estimation methods for normal inverse Gaussian distribution
CSAM(Communications for Statistical Applications and Methods)
2020 .01
-
Goodness-of-fit tests for randomly censored Weibull distributions with estimated parameters
CSAM(Communications for Statistical Applications and Methods)
2017 .09
-
Experimental Study of Spacecraft Pose Estimation Algorithm Using Vision-based Sensor
Journal of Astronomy and Space Sciences
2018 .12
-
Estimation of Seasonal Cointegration under Conditional Heteroskedasticity
CSAM(Communications for Statistical Applications and Methods)
2015 .11
-
비선형 회귀모형에서 오차의 분산에 따른 예비검정 추정방법
응용통계연구
2016 .06
-
Hierarchical Bayesian pattern mixture models for binary data from small area
한국데이터정보과학회지
2019 .11
-
극단값분포에 대한 적합도 검정에 관한 연구
한국데이터정보과학회지
2019 .05
-
일반화된 로렌츠 곡선을 기반으로 한 Gumbel 분포의 적합도 검정
한국데이터정보과학회지
2017 .07
-
Magnetic parameter estimation using Deep learning techniques
한국자기학회 학술연구발표회 논문개요집
2019 .11
-
Resistant GPA algorithms based on the M and LMS estimation
CSAM(Communications for Statistical Applications and Methods)
2018 .11
-
Different estimation methods for the unit inverse exponentiated weibull distribution
CSAM(Communications for Statistical Applications and Methods)
2023 .03
-
Bayesian and maximum likelihood estimation of entropy of the inverse Weibull distribution under generalized type I progressive hybrid censoring
CSAM(Communications for Statistical Applications and Methods)
2020 .07
-
New generalized inverse Weibull distribution for lifetime modeling
CSAM(Communications for Statistical Applications and Methods)
2016 .03
-
LEAST-SQUARE SWITCHING PROCESS FOR ACCURATE AND EFFICIENT GRADIENT ESTIMATION ON UNSTRUCTURED GRID
JOURNAL OF THE KOREAN SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS
2020 .03
-
암등록 자료에 대한 부산지역 소지역 분석
Journal of The Korean Data Analysis Society
2021 .08
이 논문의 저자 정보
이 논문과 함께 이용한 논문
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2023-310-001432738