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This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
Introduction Diarrhoea is a common problem in people living with HIV. Some trials have demonstrated the effectiveness of zinc supplementation in the prevention and treatment of diarrhoea; however, ...
Objective This study aimed to assess the coronavirus disease 2019 (COVID-19) hospitalisation costs and its associated factors on Nepalese households during the second wave of the pandemic, within the ...
Variance is a measurement of the spread between numbers in a data set. Investors use the variance equation to evaluate a portfolio’s asset allocation.
As a result, we carry out a mean-variance analysis of the newsvendor problem. We construct analytical models and reveal the problem's structural properties. We propose the solution schemes which help ...
This article will cover the theory underpinning multivariate analysis of variance (MANOVA), which expands on the capabilities of ANOVA, the types of MANOVA and a worked example of the test.
When you have the average production of three machines, it is easy to calculate the average or mean production. You just add ...
Key Points A DOE is a great way of analyzing the relationship between factors. You can control inputs in a well-designed DOE. Understanding the basic principles of DOE is fundamental for anyone ...
This study verified whether sample size would affect the precision of the analysis of variance in experiments with cauliflower seedlings. An experiment was carried out where the number of leaves and ...
Potthoff, R. and Roy, S.N. (1964) A Generalized Multivariate Analysis of Variance Model Useful Especially for Growth Curve Problems. Biometrika, 51, 313-326.
For many applications in signal processing and machine learning, we are tasked with minimizing a large sum of convex functions subject to a large number of convex constraints. In this paper, we devise ...