Results 11 to 20 of about 388,737 (200)
Hypothesis testing and power calculations for taxonomic-based human microbiome data. [PDF]
PLoS ONE, 2012 This paper presents new biostatistical methods for the analysis of microbiome data based on a fully parametric approach using all the data. The Dirichlet-multinomial distribution allows the analyst to calculate power and sample sizes for experimental ...
Patricio S La Rosa +8 more
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Indian Dermatology Online Journal, 2019 Biomedical research relies on proving (or disproving) a research hypothesis, and P value becomes a cornerstone of “null hypothesis significance testing.” P value is the maximum probability of getting the observed outcome by chance. For a statistical test
Amrita Sil +2 more
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JPFT (Jurnal Pendidikan Fisika dan Teknologi), 2021 This study aims to determine the effect of crossword puzzle learning media with discovery learning models on student learning outcomes on the concept of sound waves.
Iswanto A. Yunus +5 more
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On Random Distortion Testing Based Sequential Non-Parametric Hypothesis Testing [PDF]
2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2018 In this work, we propose a new method for sequential binary hypothesis testing. The approach is non-parametric in the sense that it does not assume any knowledge of signal distributions under each hypothesis. The proposed framework is based on Random distortion testing (RDT) which addresses the problem of testing whether or not a random signal ...
Prashant Khanduri +3 more
openaire +1 more source
Bootstrap Model-Based Constrained Optimization Tests of Indirect Effects
Frontiers in Psychology, 2020 In mediation analysis, conditions necessary for commonly recommended tests, including the confidence interval (CI)-based tests, to produce an accurate Type I error, do not generally hold for finite sample sizes and non-normally distributed model ...
Davood Tofighi
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Mathematics, 2023 In this paper, a one-way error component regression model with measurement errors is considered. The unknown parameter vector is estimated by using the bias-corrected method, and its corresponding asymptotic properties are also developed.
Lili Yue +3 more
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Crop Species Production Diversity Enhances Revenue Stability in Low-Income Farm Regions of Mexico
Agriculture, 2022 Stabilizing farm revenues is a goal of agricultural policies around the world, especially in vulnerable regions with limited access to crop insurance. One potential pathway to revenue stability follows the agricultural “insurance hypothesis”, which holds
Matthew C. LaFevor
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Empirical likelihood based testing for regression [PDF]
, 2007 Consider a random vector $(X,Y)$ and let $m(x)=E(Y|X=x)$. We are interested in testing $H_0:m\in {\cal M}_{\Theta,{\cal G}}=\{\gamma(\cdot,\theta,g):\theta \in \Theta,g\in {\cal G}\}$ for some known function $\gamma$, some compact set $\Theta \subset $IR$
Manteiga, Wenceslao González +2 more
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Revstat Statistical Journal, 2018 Several procedures have been proposed for testing goodness-of-fit to the error distribution in nonparametric regression models. The null distribution of the associated test statistics is usually approximated by means of a parametric bootstrap which ...
G.I. Rivas-Martínez +1 more
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Testing the random walk hypothesis for leading cryptocurrencies
Borsa Istanbul Review, 2021 Despite the rise in markets for cryptocurrencies at an outstanding pace, with consistently high trading volume and market capitalization, the increasing volatility of the virtual currencies raise various concerns.
Srinivasan Palamalai +2 more
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