Results 11 to 20 of about 391,668 (248)
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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Hypothesis testing and power calculations for taxonomic-based human microbiome data. [PDF]
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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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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Bootstrap Model-Based Constrained Optimization Tests of Indirect Effects
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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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
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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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
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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Keyed Non-Parametric Hypothesis Tests
The recent popularity of machine learning calls for a deeper understanding of AI security. Amongst the numerous AI threats published so far, poisoning attacks currently attract considerable attention.
A Kerckhoffs +7 more
core +1 more source
Deteksi Sinyal : Overview Model Parametrik menggunakan Kriteria Neyman-Pearson
ABSTRAK Deteksi sinyal banyak diimplementasikan dalam sistem pengolahan sinyal yang sangat kompleks. Sebagai contoh digunakan pada sub sistem pengolahan sinyal radar pengintai yang berfungsi untuk deteksi dan pelacakan target.
FIKY YOSEF SURATMAN +2 more
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