B‐value and empirical equivalence bound: A new procedure of hypothesis testing
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9298
Abstract: In this study, we propose a two‐stage procedure for hypothesis testing, where the first stage is conventional hypothesis testing and the second is an equivalence testing procedure using an introduced empirical equivalence bound (EEB). In… read more here.
Keywords: procedure hypothesis; equivalence; empirical equivalence; hypothesis testing ... See more keywords
Multivariate Bayesian hypothesis testing for ground motion model selection
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Seismology"
DOI: 10.1007/s10950-020-09924-5
Abstract: In this paper, the Bayesian hypothesis testing basis is proposed for selecting, ranking, and assigning weights to ground motion prediction equations that fits perfectly on the classical definition of a logic tree. The posterior probability… read more here.
Keywords: bayesian hypothesis; model; hypothesis testing; ground motion ... See more keywords
Beyond Hypothesis Testing
Sign Up to like & getrecommendations! Published in 2021 at "Science Education"
DOI: 10.1007/s11191-020-00185-9
Abstract: Recent reforms in science education have promoted students’ understanding of how science works, including the methodological approaches used by scientists. Given that teachers are expected to teach and promote methodological pluralism, it is worth examining… read more here.
Keywords: beyond hypothesis; science; understanding scientific; brandon matrix ... See more keywords
Hypothesis Testing when Data Sources are Uncertain
Sign Up to like & getrecommendations! Published in 2020 at "Journal of statistical theory and practice"
DOI: 10.1007/s42519-020-00132-5
Abstract: The Justice Department and the Consumer Financial Protection Bureau used BISG to find Ally Financial and Ally Bank guilty of bias in auto loans. Federal authorities claim to use BISG tools in their investigations with… read more here.
Keywords: sources uncertain; hypothesis testing; data sources; testing data ... See more keywords
Hypothesis testing via a penalized-likelihood approach
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the Korean Statistical Society"
DOI: 10.1016/j.jkss.2018.11.005
Abstract: Abstract It is illustrated in this paper that hypothesis testing procedures can be derived based on the penalized likelihood approach. Based on this point of view, many traditional hypothesis tests, including the two-sample mean test,… read more here.
Keywords: likelihood approach; penalized likelihood; likelihood; hypothesis testing ... See more keywords
A simple, general, and efficient method for sequential hypothesis testing: The independent segments procedure.
Sign Up to like & getrecommendations! Published in 2020 at "Psychological methods"
DOI: 10.1037/met0000350
Abstract: We propose a new sequential hypothesis testing procedure in which data are collected and analyzed in a series of independent segments. As in fixed-sample hypothesis testing and in previous sequential procedures, the overall α level… read more here.
Keywords: sequential hypothesis; independent segments; method; hypothesis testing ... See more keywords
Sequential analysis of variance: Increasing efficiency of hypothesis testing.
Sign Up to like & getrecommendations! Published in 2024 at "Psychological methods"
DOI: 10.1037/met0000677
Abstract: Researchers commonly use analysis of variance (ANOVA) to statistically test results of factorial designs. Performing an a priori power analysis is crucial to ensure that the ANOVA is sufficiently powered, however, it often poses a… read more here.
Keywords: analysis variance; analysis; hypothesis; hypothesis testing ... See more keywords
A Bivariate Hypothesis Testing Approach for Mapping the Trait-Influential Gene
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-10177-5
Abstract: The linkage disequilibrium (LD) based quantitative trait loci (QTL) model involves two indispensable hypothesis tests: the test of whether or not a QTL exists, and the test of the LD strength between the QTaL and… read more here.
Keywords: qtl; bivariate hypothesis; hypothesis testing; test ... See more keywords
Detecting implicit biases of large language models with Bayesian hypothesis testing
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-95825-x
Abstract: Despite the remarkable performance of large language models (LLMs), such as generative pre-trained Transformers (GPTs), across various tasks, they often perpetuate social biases and stereotypes embedded in their training data. In this paper, we introduce… read more here.
Keywords: large language; language; usepackage; language models ... See more keywords
Context-sensitive hypothesis-testing and exponential families
Sign Up to like & getrecommendations! Published in 2024 at "Statistics"
DOI: 10.1080/02331888.2025.2467233
Abstract: We propose a number of concepts and properties related to ‘weighted’ statistical inference where the observed data are classified in accordance with a ‘value’ of a sample string. The motivation comes from the concepts of… read more here.
Keywords: exponential families; testing exponential; context sensitive; sensitive hypothesis ... See more keywords
Discrete convolution statistic for hypothesis testing
Sign Up to like & getrecommendations! Published in 2020 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2020.1811336
Abstract: The question of testing for equality in distribution between two linear models, each consisting of sums of distinct discrete independent random variables with unequal numbers of observations, has emerged from the biological research. In this… read more here.
Keywords: statistic hypothesis; convolution; hypothesis testing; discrete convolution ... See more keywords