Results 11 to 20 of about 97,834 (258)

Hypothesis testing for two population means: parametric or non-parametric test? [PDF]

open access: yesJournal of Statistical Computation and Simulation, 2019
The parametric Welch $t$-test and the non-parametric Wilcoxon-Mann-Whitney test are the most commonly used two independent sample means tests. More recent testing approaches include the non-parametric, empirical likelihood and exponential empirical likelihood.
Michail Tsagris   +3 more
openaire   +3 more sources

The Effect of Blended Learning Type of Flipped Classroom on Mathematical Problem Solving Ability in Solid Figures Topic

open access: yesInovasi Matematika, 2023
This study aimed to find out the ability to solve math problems in solid figures topic before flipped classroom type blended learning was applied to grade IX students of SMPN 2 Sokaraja in the 2019/2020 school year and to know the influence of flipped ...
Ahmad Ahmad, Lukmanul Akhsani
doaj   +1 more source

P-Value demystified

open access: yesIndian 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
doaj   +1 more source

Hypothesis testing and power calculations for taxonomic-based human microbiome data. [PDF]

open access: yesPLoS 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
doaj   +1 more source

On Random Distortion Testing Based Sequential Non-Parametric Hypothesis Testing [PDF]

open access: yes2018 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 ...
Khanduri, Prashant   +3 more
openaire   +2 more sources

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

open access: yesJPFT (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
doaj   +1 more source

Bootstrap Model-Based Constrained Optimization Tests of Indirect Effects

open access: yesFrontiers 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

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

open access: yesMathematics, 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
doaj   +1 more source

Crop Species Production Diversity Enhances Revenue Stability in Low-Income Farm Regions of Mexico

open access: yesAgriculture, 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

open access: yesRevstat 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
doaj   +1 more source

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