Results 31 to 40 of about 1,113,356 (231)

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, J Paul Brooks, Elena Deych, Edward L Boone, David J Edwards, Qin Wang, Erica Sodergren, George Weinstock, William D Shannon   +8 more
doaj   +1 more source

Differentially Private Nonparametric Hypothesis Testing [PDF]

Conference on Computer and Communications Security, 2019
Hypothesis tests are a crucial statistical tool for data mining and are the workhorse of scientific research in many fields. Here we study differentially private tests of independence between a categorical and a continuous variable.
Simon Couch, Zeki Kazan, Kaiyan Shi, Andrew Bray, Adam Groce   +4 more
semanticscholar   +1 more source

Pengaruh Media Pembelajaran Crosword Puzzle Dengan Model Discovery Learning Terhadap Hasil Belajar Siswa Pada Konsep Gelombang Bunyi Di SMAN 1 Boliyohuto

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, Raghel Yunginger, Mursalin Mursalin, Dewi Diana Paramata, Dewa Gede Eka Setiawan, Abdul Haris Odja   +5 more
doaj   +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
doaj   +1 more source

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, Sellero, César Sánchez, Van Keilegom, Ingrid   +2 more
core   +3 more sources

A Parametric Bootstrap Approach for a One-Way Error Component Regression Model with Measurement Errors

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, Jianhong Shi, Jingxuan Luo, Jinguan Lin   +3 more
doaj   +1 more source

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
doaj   +1 more source

Computationally Efficient Goodness-of-Fit Tests for the Error Distribution in Nonparametric Regression

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 , Maria Dolores Jiménez-Gamero   +1 more
doaj   +1 more source

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, K. Krishna Kumar, Bipasha Maity   +2 more
doaj   +1 more source

Analysis of type I and II error rates of Bayesian and frequentist parametric and nonparametric two-sample hypothesis tests under preliminary assessment of normality

Computational statistics (Zeitschrift), 2020
Testing for differences between two groups is among the most frequently carried out statistical methods in empirical research. The traditional frequentist approach is to make use of null hypothesis significance tests which use p values to reject a null ...
Riko Kelter
semanticscholar   +1 more source