Results 11 to 20 of about 4,448,452 (248)

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

Journal of Statistical Computation and Simulation, 2019
The parametric Welch t-test and the non-parametric Wilcoxon–Mann–Whitney, empirical and exponential empirical likelihood tests are commonly used for hypothesis testing of two population means. In order to circumvent the inflated type I error problem of the nonparametric likelihood testing procedures, a simple calibration using the t distribution and ...
Michail Tsagris, Abdulaziz Alenazi, Kleio-Maria Verrou, Nikolaos Pandis   +3 more
core   +6 more sources

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 ...
Khanduri, Prashant, Pastor, Dominique, Sharma, Vinod Kumar, Varshney, Pramod K.   +3 more
openaire   +4 more sources

Perceptions of the importance of philanthropy according to the classification of generations based on Beresford Research

Review of Islamic Social Finance and Entrepreneurship, 2023
Purpose – This study aims to describe the perception of the importance of philanthropy in today's difficult times according to the classification of generations based on Beresford.
Endro Tri Susdarwono, S. Thoriqul Huda
doaj   +1 more source

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

Inovasi 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

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, Jayadev Betkerur, Nilay Kanti Das   +2 more
doaj   +1 more source

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

Testing the martingale difference hypothesis using integrated regression functions [PDF]

, 2006
An omnibus test for testing a generalized version of the martingale difference hypothesis (MDH) is proposed. This generalized hypothesis includes the usual MDH, testing for conditional moments constancy such as conditional homoscedasticity (ARCH effects)
Velasco Gómez, Carlos, Carlos Velasco, Escanciano, J.C. (Juan Carlos), Velasco, C. (Carlos), J. Carlos Escanciano, Velasco, Carlos, Escanciano, Juan Carlos   +6 more
core   +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

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