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STATISTICAL HYPOTHESIS TESTING USING FUZZY LINGUISTIC VARIABLES [PDF]
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
doaj
CONFIDENCE LEVELS AND/VS. STATISTICAL HYPOTHESIS TESTING IN STATISTICAL ANALYSIS. CASE STUDY
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
doaj
Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies [PDF]
Many practical studies rely on hypothesis testing procedures applied to data sets with missing information. An important part of the analysis is to determine the impact of the missing data on the performance of the test, and this can be done by properly ...
Kong, Augustine+2 more
core +3 more sources
Investigating Statistical Privacy Frameworks from the Perspective of Hypothesis Testing
Over the last decade, differential privacy (DP) has emerged as the gold standard of a rigorous and provable privacy framework. However, there are very few practical guidelines on how to apply differential privacy in practice, and a key challenge is how ...
Changchang Liu+4 more
semanticscholar +1 more source
Local Variation as a Statistical Hypothesis Test [PDF]
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
openaire +4 more sources
Linking to the real world: contextual teaching and learning of statistical hypothesis testing
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
doaj +1 more source
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
doaj +1 more source
Statistical significance and statistical power in hypothesis testing [PDF]
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
openaire +3 more sources
Possibility Measure of Accepting Statistical Hypothesis
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
doaj +1 more source
A Novel Framework for Learning Automata: A Statistical Hypothesis Testing Approach
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
doaj +1 more source