Results 71 to 80 of about 16,679,614 (365)
Hypothesis Testing in Weighted Distributions
Journal of Mathematical Extension, 2008 There are many situations in which experiments are not available or data are recorded from the population proportion to a nonnegative function called weight function. In a such situations the classical methods for inferencing about unknown parameters
S. M. R. Alavi, R. Chinipardaz and A. R. Rasekh
doaj
Some hypothesis testing problems for categorical variables
Statistica, 2007 This paper considers some testing problems for multivariate categorical variables within a conditional, or permutation, framework. The key idea is based on the decomposition of null and alternative hypotheses into a number of sub-hypotheses. For each sub-
Fortunato Pesarin
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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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FEBS Letters, EarlyView.Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu +17 more
wiley +1 more source
A Linear Programming Approach to Sequential Hypothesis Testing
, 2015 Under some mild Markov assumptions it is shown that the problem of designing optimal sequential tests for two simple hypotheses can be formulated as a linear program.
Fauss, Michael, Zoubir, Abdelhak M.
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FEBS Letters, EarlyView.Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria +3 more
wiley +1 more source
Recent developments towards optimality in multiple hypothesis testing
, 2006 There are many different notions of optimality even in testing a single hypothesis. In the multiple testing area, the number of possibilities is very much greater.
Shaffer, Juliet Popper
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From omics to AI—mapping the pathogenic pathways in type 2 diabetes
FEBS Letters, EarlyView.Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan +2 more
wiley +1 more source
BMC Medical Research Methodology, 2020 Background Although null hypothesis significance testing (NHST) is the agreed gold standard in medical decision making and the most widespread inferential framework used in medical research, it has several drawbacks.
Riko Kelter
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On Hypothesis Testing for Poisson Processes. Singular Cases [PDF]
, 2015 We consider the problem of hypothesis testing in the situation where the first hypothesis is simple and the second one is local one-sided composite. We describe the choice of the thresholds and the power functions of different tests when the intensity ...
Dachian, Serguei +2 more
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