Results 31 to 40 of about 419,428 (264)
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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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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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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Local Variation as a Statistical Hypothesis Test [PDF]
International Journal of Computer Vision, 2015 The goal of image oversegmentation is to divide an image into several pieces, each of which should ideally be part of an object. One of the simplest and yet most effective oversegmentation algorithms is known as local variation (LV) (Felzenszwalb and Huttenlocher 2004). In this work, we study this algorithm and show that algorithms similar to LV can be
Peter Meer +2 more
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Mathematical Biosciences and Engineering, 2011 Control entropy (CE) is a complexity analysis suitable fordynamic, non-stationary conditions which allows the inference of the control effort of a dynamical system generating the signal [4].
Rana D. Parshad +4 more
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Possibility Measure of Accepting Statistical Hypothesis
Mathematics, 2020 Taking advantage of the possibility of fuzzy test statistic falling in the rejection region, a statistical hypothesis testing approach for fuzzy data is proposed in this study.
Jung-Lin Hung +2 more
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Statistical significance and statistical power in hypothesis testing [PDF]
Journal of Orthopaedic Research, 1990 AbstractExperimental design requires estimation of the sample size required to produce a meaningful conclusion. Often, experimental results are performed with sample sizes which are inappropriate to adequately support the conclusions made. In this paper, two factors which are involved in sample size estimation are detailed—namely type I (α) and type II
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A Novel Framework for Learning Automata: A Statistical Hypothesis Testing Approach
IEEE Access, 2019 Learning automaton (LA), a powerful tool in reinforcement learning, is of crucial importance for its adaptivity in the stochastic environment and its applicability in various engineering fields.
Chong Di +3 more
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Stochastic process computational modeling for learning research
Освітній вимір, 2022 The goal of our research was to compare and systematize several approaches to non-parametric null hypothesis significance testing using computer-based statistical modeling.
Oleksandr H. Kolgatin +2 more
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