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A logical analysis of null hypothesis significance testing using popular terminology
BMC Medical Research Methodology, 2022 Background Null Hypothesis Significance Testing (NHST) has been well criticised over the years yet remains a pillar of statistical inference. Although NHST is well described in terms of statistical models, most textbooks for non-statisticians present the
Richard McNulty
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Hypothesis testing based on a vector of statistics [PDF]
Journal of Econometrics, 2020 This paper presents a new approach to hypothesis testing based on a vector of statistics. It involves simulating the statistics under the null hypothesis and then estimating the joint density of the statistics. This allows the p-value of the smallest acceptance region test to be estimated.
King, Maxwell L. +2 more
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The posterior probability of a null hypothesis given a statistically significant result [PDF]
Tutorials in Quantitative Methods for Psychology, 2022 When researchers carry out a null hypothesis significance test, it is tempting to assume that a statistically significant result lowers Prob(H0), the probability of the null hypothesis being true.
Schad, Daniel J., Vasishth, Shravan
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Hypothesis-testing-based Range Statistical Resolution Limit of Radar
Leida xuebao, 2019 Resolution performance is an important performance criteria of the radar systems. Typically, the Ambiguity Function (AF) of signals is used to define the range and Doppler limits. In this study Some new opinions are proposed—First, the AF is based on the
ZHANG Yunlei, TANG Jun, WANG Li
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OS-PCA: Orthogonal Smoothed Principal Component Analysis Applied to Metabolome Data
Metabolites, 2021 Principal component analysis (PCA) has been widely used in metabolomics. However, it is not always possible to detect phenotype-associated principal component (PC) scores.
Hiroyuki Yamamoto +2 more
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STATISTICAL HYPOTHESIS TESTING USING FUZZY LINGUISTIC VARIABLES [PDF]
Fiabilitate şi Durabilitate, 2012 This work proposes a fuzzy statistical test of fuzzy hypotheses usinglinguistic variables. The method is based on Zadeh’s principle: the fuzzy population mean in the null hypothesis is converted to fuzzy numbers using conversion scales proposed by Chen ...
Iuliana Carmen BĂRBĂCIORU
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CONFIDENCE LEVELS AND/VS. STATISTICAL HYPOTHESIS TESTING IN STATISTICAL ANALYSIS. CASE STUDY
Scientific Papers Animal Science and Biotechnologies, 2023 Estimated parameters with confidence intervals and testing statistical assumptions used in statistical analysis to obtain conclusions on research from a sample extracted from the population.
ILEANA BRUDIU
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Testing Point Null Hypothesis of a Normal Mean and the Truth: 21st Century Perspective [PDF]
, 2016 Testing a point (sharp) null hypothesis is arguably the most widely used statistical inferential procedure in many fields of scientific research, nevertheless, the most controversial, and misapprehended.
Lovric, Miodrag M +1 more
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Linking to the real world: contextual teaching and learning of statistical hypothesis testing
LUMAT, 2021 The study used experimental research design to randomly selected senior high school students in analysing their attitude and achievement in statistics when contextual teaching is implemented.
Jeanne Marie L. Lago +1 more
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, 2011 Comment on "Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies" [arXiv:1102.2774]Comment: Published in at http://dx.doi.org/10.1214/08-STS244A the Statistical Science (http://www.imstat.org/sts ...
Lo, Shaw-Hwa, Zheng, Tian
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