Results 11 to 20 of about 1,858,746 (212)

Towards the dismissal of null hypothesis/statistical significance testing in public health, public law and toxicology

open access: yesPublic Health and Toxicology, 2021
Null hypothesis significance testing (NHST) text was once widely popular and almost systematically used for the identification of causal relations and for risk assessment in toxicology and medicine.
Silvio Roberto Vinceti   +1 more
doaj   +1 more source

Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis

open access: yesIEEE Open Journal of Signal Processing, 2022
We study the performance of Machine Learning (ML) classification techniques. Leveraging the theory of large deviations, we provide the mathematical conditions for a ML classifier to exhibit error probabilities that vanish exponentially, say $\exp (-n\,I)$
Paolo Braca   +5 more
doaj   +1 more source

Statistical inference: Hypothesis testing

open access: yesAllergologia et Immunopathologia, 2010
The aim of statistical inference is to predict the parameters of a population, based on a sample of data. Inferential statistics encompasses the estimation of parameters and model predictions. The present article describes the hypothesis tests or statistical significance tests most commonly used in healthcare research.
M, Expósito-Ruiz   +2 more
openaire   +2 more sources

Quantum Hypothesis Testing and Non-Equilibrium Statistical Mechanics [PDF]

open access: yes, 2011
We extend the mathematical theory of quantum hypothesis testing to the general $W^*$-algebraic setting and explore its relation with recent developments in non-equilibrium quantum statistical mechanics.
Araki H.   +20 more
core   +6 more sources

Statistical analysis of control quality of MPC using testing hypothesis [PDF]

open access: yesMATEC Web of Conferences, 2019
Methods of the statistical induction have a significant role in the quantitative research. In a wide spectrum of research areas, the methods based on testing hypotheses have been frequently used.
Kubalcik Marek   +2 more
doaj   +1 more source

Universal Codes as a Basis for Time Series Testing [PDF]

open access: yes, 2005
We suggest a new approach to hypothesis testing for ergodic and stationary processes. In contrast to standard methods, the suggested approach gives a possibility to make tests, based on any lossless data compression method even if the distribution law of
Astola, Jaakko, Ryabko, Boris
core   +2 more sources

Hypothesis testing and statistical analysis of microbiome

open access: yesGenes and Diseases, 2017
After the initiation of Human Microbiome Project in 2008, various biostatistic and bioinformatic tools for data analysis and computational methods have been developed and applied to microbiome studies.
Yinglin Xia, Jun Sun
doaj   +1 more source

Optimal Testing for Planted Satisfiability Problems [PDF]

open access: yes, 2015
We study the problem of detecting planted solutions in a random satisfiability formula. Adopting the formalism of hypothesis testing in statistical analysis, we describe the minimax optimal rates of detection.
Berthet, Quentin
core   +4 more sources

Statistical hypothesis testing.

open access: green
Nikola Štaffenová (21238199)   +2 more
openalex   +2 more sources

A logical analysis of null hypothesis significance testing using popular terminology

open access: yesBMC 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
doaj   +1 more source

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