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
- 발행연도
- 2017.5
- 수록면
- 1 - 6 (6page)
이용수
초록· 키워드
오류제보하기
Statistical hypothesis testing is a procedure that verifies a given hypothesis through statistical analysis, using collected data. Hypothesis testing employs the p-value to draw conclusions about the underlying population via sampled data. The p-value, a calculated probability from sampled data, is an important tool in determining whether to reject the null hypothesis. However, most users seem to have difficulties understanding the logic behind it (e.g., [1]). Hence, this paper aims to help users understand and use the p-value adequately by elaborating on its logical meaning.
목차
ABSTRACT
1. Reduction to Absurdity
2. Practical Episode and Uncertainty
3. P-value for Practical Episode
4. P-value Duplicity
5. Power and P-value
6. P-value Calculation for Coin Tossing
7. Power Calculation for Coin Tossing
8. P-value with Real Data
9. Concluding Remarks
References
참고문헌 (2)
참고문헌 신청
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
딥러닝을 이용한 통계적 가설검정: 이표본 t-검정을 중심으로
한국데이터정보과학회지
2021 .01
-
Comparison of methods for the proportion of true null hypotheses in microarray studies
CSAM(Communications for Statistical Applications and Methods)
2020 .01
-
A Two Sample Test for Functional Data
CSAM(Communications for Statistical Applications and Methods)
2015 .03
-
Objective Bayesian multiple comparisons between two normal models with unequal variances
CSAM(Communications for Statistical Applications and Methods)
2025 .03
-
Objective Bayesian multiple hypothesis testing for the shape parameter of generalized exponential distribution
한국데이터정보과학회지
2017 .01
-
A novel statistical framework to account for climate model dependence and to test non-exclusive hypotheses: Application to Arctic sea ice
한국기상학회 학술대회 논문집
2019 .10
-
조리교육기관의 교육서비스품질이 진로결정자기 효능감에 미치는 영향
조리교육연구
2024 .06
-
Simultaneous Test Procedure for ANOVA with Possibly Unequal Variances
Journal of The Korean Data Analysis Society
2018 .01
-
Estimation of p-values with Reduced Set of Genomic Association Data
Journal of The Korean Data Analysis Society
2018 .01
-
Comparative Analysis for Multiple Testing Procedures with Binary Data
Journal of The Korean Data Analysis Society
2015 .01
-
A HYPOTHESIS TESTING PROCEDURE OF ASSESSMENT FOR THE LIFETIME PERFORMANCE INDEX UNDER A GENERAL CLASS OF INVERSE EXPONENTIATED DISTRIBUTIONS WITH PROGRESSIVE TYPE I INTERVAL CENSORING
Journal of applied mathematics & informatics
2019 .01
-
On inference of multivariate means under ranked set sampling
CSAM(Communications for Statistical Applications and Methods)
2018 .01
-
Estimating the proportion of null hypotheses based on conditional distribution for arbitrarily correlated p-values
CSAM(Communications for Statistical Applications and Methods)
2025 .01
-
A Different Perspective on the P-value Problem with Big Data
Quantitative Bio-Science
2020 .05
-
배출원 기반 대기 중 농도 감축 정책에 대한 제고 - 광주 및 서울시 관측 농도 사례 분석
한국대기환경학회지(국문)
2020 .04
-
A Study on the Teaching of Proofs using the Method of Infinite Descent
East Asian Mathematical Journal
2016 .01
-
비모수 방법에 의한 다변량 검정절차에 대한 고찰과 그 이후
Journal of The Korean Data Analysis Society
2015 .01
-
Bayesian one-sided hypothesis testing for shape parameter in half exponential power distribution
한국데이터정보과학회지
2020 .01
-
The Impact of the Attitude toward Work of Older Workers on the Working Intention and Working Status
Journal of The Korean Data Analysis Society
2017 .01
-
Comparison of Dimension Reduction Methods for Sample Classification of 16S rRNA Microbial Community Data
한국미생물학회 학술대회논문집
2022 .10
이 논문의 저자 정보
이 논문과 함께 이용한 논문
P-value calculation methods for semi-partial correlation coefficients
Seongho Kim
CSAM(Communications for Statistical Applications and Methods)
2022
.05
Big Data Processing Strategies for Low-cost Monitoring of Airborne Particulate Matter in Mine Sites
Eui Young Seo
,
Sunghyun Bae
,
Gwan In Bak
외 1명
Quantitative Bio-Science
2021
.11
A Different Perspective on the P-value Problem with Big Data
Tae Yoon Kim
,
Cheolyong Pa
,
k
외 2명
Quantitative Bio-Science
2020
.05
Segmentation Strategy for Asset Groups in the Korean Exchange-Traded Funds Market Using Genetic Algorithm
Han Jun Ko
,
Kyong Joo Oh
Quantitative Bio-Science
2019
.11
최근 본 자료
댓글(0)
0