Testing statistical hypothesis on random trees and applications to the protein classification problem [PDF]
, 2009 Efficient automatic protein classification is of central importance in genomic annotation. As an independent way to check the reliability of the classification, we propose a statistical approach to test if two sets of protein domain sequences coming from
Busch, Jorge R. +5 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 hypothesis testing in wavelet analysis: theoretical developments and applications to Indian rainfall [PDF]
Nonlinear Processes in Geophysics, 2019 Statistical hypothesis tests in wavelet analysis are methods that assess the degree to which a wavelet quantity (e.g., power and coherence) exceeds background noise. Commonly, a point-wise approach is adopted in which a wavelet quantity at every point in
J. A. Schulte
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Hypothesis Testing based Intrinsic Evaluation of Word Embeddings
, 2017 We introduce the cross-match test - an exact, distribution free, high-dimensional hypothesis test as an intrinsic evaluation metric for word embeddings.
Gurnani, Nishant
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Pengaruh Komitmen Organisasi Dan Gaya Kepemimpinan Terhadap Hubungan Antara Partisipasi Anggaran Dan Kinerja Manajerial [PDF]
, 2013 This study aims to prove allegations that a manager's leadership style and organizational commitment as a moderating variable may moderate the relationship between budgetary participation on managerial performance in manufacturing companies in the city ...
., Yunita
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Geometric Inference for General High-Dimensional Linear Inverse Problems
, 2015 This paper presents a unified geometric framework for the statistical analysis of a general ill-posed linear inverse model which includes as special cases noisy compressed sensing, sign vector recovery, trace regression, orthogonal matrix estimation, and
Cai, T. Tony +2 more
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Statistical fractal analysis in testing the Hypotheses with imprecise data
MethodsXA new statistical hypothesis testing procedure using fractal analysis, incorporating the concept of lacunarity for interval population parameters when the sample data are real intervals, is introduced.
D. Kalpanapriya +3 more
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Significance testing without truth [PDF]
, 2013 A popular approach to significance testing proposes to decide whether the given hypothesized statistical model is likely to be true (or false). Statistical decision theory provides a basis for this approach by requiring every significance test to make a ...
Perkins, William +2 more
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A method for comparing non-nested models with application to astrophysical searches for new physics
, 2016 Searches for unknown physics and decisions between competing astrophysical models to explain data both rely on statistical hypothesis testing. The usual approach in searches for new physical phenomena is based on the statistical Likelihood Ratio Test ...
Algeri, Sara +2 more
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New Physical Implications From Revisiting Foreshock Activity in Southern California
Geophysical Research Letters, 2023 Foreshock analysis promises new insights into the earthquake nucleation process and could potentially improve earthquake forecasting. Well‐performing clustering models like the Epidemic‐Type Aftershock Sequence (ETAS) model assume that foreshocks and ...
Ester Manganiello +2 more
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