Results 21 to 30 of about 6,339,547 (295)

Power Comparison of Various Normality Tests

open access: yesPakistan Journal of Statistics and Operation Research, 2015
The assumption of normality is very important because it is used in many statistical procedures such as Analysis of variance, linear regression analysis, discriminant analysis and t-tests. The three common procedures are used for assessing the assumption of normality that is graphical methods, numerical methods and formal normality tests.
Fiaz Ahmad, Rehan Ahmad Khan
openaire   +2 more sources

Sound-power tests of a garden tractor [PDF]

open access: yesThe Journal of the Acoustical Society of America, 1990
Sound-power tests are being developed as noise standards, particularly in Europe. An example is the lawn mower. A detailed set of experiments was performed measuring the sound power of a garden tractor with a mower, provided by the John Deere Company.
Robert Hickling, Peng Lee, Wei Wei
openaire   +1 more source

Hypothesis Testing on the Location Parameter of a Skew-Normal Distribution (SND) with Application

open access: yesITM Web of Conferences, 2018
This work deals with testing a hypothesis on the location parameter (μ) of a skew-normal distribution (SND) based on a random sample of size n. The details of this work can be summarized in four major components: (a) First we review some useful results ...
Thiuthad Phontita, Pal Nabendu
doaj   +1 more source

Design of a Mechanical Power Circulation Test Rig for a Wind Turbine Gearbox

open access: yesApplied Sciences, 2020
We developed a mechanical power circulation test rig for a wind turbine gearbox with a power rating of 5.8 MW or less. The test rig consists of an electric motor, two auxiliary gearboxes, a torque-applying device, lubrication systems, cooling systems ...
Geun-Ho Lee   +4 more
doaj   +1 more source

The power of unit root tests under local-to-finite variance errors [PDF]

open access: yes, 2015
We study the power of four popular unit root tests in the presence of a local-to-finite variance DGP. We characterize the asymptotic distribution of these tests under a sequence of local alternatives, considering both stationary and explosive ones .
Cappuccio, Nunzio   +2 more
core   +1 more source

Development of a movable standing wave resonant test system for fundamental power couplers with an extraordinary power gain

open access: yesPhysical Review Accelerators and Beams, 2022
Off-line high-power tests of the fundamental power couplers prior to their on-line operations are of importance for ensuring their operating reliability and stability. To test the couplers using a limited power supply effectively, a movable standing wave
Zeqiang Lin   +16 more
doaj   +1 more source

A note on the power of panel conitegration tests - An application to health care expenditure and GDP [PDF]

open access: yes, 2016
This paper enlarges on Gutierrez's (2003) results on the power of panel cointegration tests. By a comparison of power of panel cointegration tests, we show how the choice of most powerful test depends on the values ...
MARINI, GIORGIA
core   +2 more sources

EVALUATION OF THE APPLICABLE REACTIVITY RANGE OF A REACTIVITY COMPUTER FOR A CANDU-6 REACTOR

open access: yesNuclear Engineering and Technology, 2014
Recently, a CANDU digital reactivity computer system (CDRCS) to measure the worth of the liquid zone controller in a CANDU-6 was developed and successfully applied to a physics test of refurbished Wolsong Unit 1.
EUN KI LEE, DONG HWAN PARK, WHAN SOO LEE
doaj   +1 more source

Modeling and test of a thermosyphon loop for the cooling of a megawatt-range power electronics converter

open access: yesInternational Journal of Thermofluids, 2022
A thermosyphon loop, designed for the thermal management of a large Medium voltage power converter 5 MW overall, corresponding to a 2.4 kW thermal load per cooling unit) is presented.
Majededdine Moustaid   +4 more
doaj   +1 more source

The power of a paired t-test with a covariate [PDF]

open access: yesSocial Science Research, 2015
Many researchers employ the paired t-test to evaluate the mean difference between matched data points. Unfortunately, in many cases this test in inefficient. This paper reviews how to increase the precision of this test through using the mean centered independent variable x, which is familiar to researchers that use analysis of covariance (ANCOVA).
E C, Hedberg, Stephanie, Ayers
openaire   +2 more sources

Home - About - Disclaimer - Privacy