Results 11 to 20 of about 1,920,538 (274)

Parametric analysis on a simple design water reaction turbine for low-head low-flow Pico-hydro generation system

open access: yesJournal of Mechanical Engineering and Sciences, 2021
This paper presents a parametric analysis of the outward flow reaction type turbine known as a Z-Blade turbine for low-head low-flow conditions. By applying the principles of mass conservation, momentum and energy, a nomogram was designed to investigate
Nurul Ashikin Mohd Rais, M. F. Basar
doaj   +1 more source

All models are wrong, but which are useful? Comparing parametric and nonparametric estimation of causal effects in finite samples

open access: yesJournal of Causal Inference, 2023
There is a long-standing debate in the statistical, epidemiological, and econometric fields as to whether nonparametric estimation that uses machine learning in model fitting confers any meaningful advantage over simpler, parametric approaches in finite ...
Rudolph Kara E.   +4 more
doaj   +1 more source

Using Airborne Lidar, Multispectral Imagery, and Field Inventory Data to Estimate Basal Area, Volume, and Aboveground Biomass in Heterogeneous Mixed Species Forests: A Case Study in Southern Alabama

open access: yesRemote Sensing, 2022
Airborne light detection and ranging (lidar) has proven to be a useful data source for estimating forest inventory metrics such as basal area (BA), volume, and aboveground biomass (AGB) and for producing wall-to-wall maps for validation of satellite ...
Schyler Brown   +2 more
doaj   +1 more source

Parametric autoresonance [PDF]

open access: yesPhysical Review E, 2001
We investigate parametric autoresonance: a persisting phase locking which occurs when the driving frequency of a parametrically excited nonlinear oscillator slowly varies with time. In this regime, the resonant excitation is continuous and unarrested by the oscillator nonlinearity.
Khain, Evgeniy, Meerson, Baruch
openaire   +3 more sources

Data driven parametric design

open access: yesPARC: Pesquisa em Arquitetura e Construção, 2011
The focus of this paper is that we want to give a brief introduction about the idea of Parametric Design (PD) and the use of data to inform the design process. The digital fabrication is not covered in detail in this document.
Ferdinand Facklam   +1 more
doaj   +1 more source

Focused Information Criterion for Restricted Mean Survival Times: Non-Parametric or Parametric Estimators

open access: yesEntropy, 2022
Restricted Mean Survival Time (RMST), the average time without an event of interest until a specific time point, is a model-free, easy to interpret statistic.
Szilárd Nemes   +2 more
doaj   +1 more source

How parametric resonance mechanism follows quench mechanism in disoriented chiral condensate [PDF]

open access: yes, 2001
We show how parametric resonance mechanism follows quench mechanism in the classical linear sigma model. The parametric resonance amplifies long wavelength modes of the pion for more than $10 fm/c$.
Anselm   +15 more
core   +3 more sources

Comparison of Parametric Indices of Anthropometric and Biomechanical Characteristics of Female Basketball Players, Volleyball Players and Handball Players [PDF]

open access: yesBiyumikānīk-i varzishī, 2021
Objective: This study aimed to Compare parametric indices of anthropometric and biomechanical characteristics of female basketball, volleyball, and handball players. Methods: This research is purposive comparative-descriptive study. A total of 100 female
Ali Fatahi   +2 more
doaj   +2 more sources

Genomic Selection for Drought Tolerance Using Genome-Wide SNPs in Maize

open access: yesFrontiers in Plant Science, 2017
Traditional breeding strategies for selecting superior genotypes depending on phenotypic traits have proven to be of limited success, as this direct selection is hindered by low heritability, genetic interactions such as epistasis, environmental-genotype
Thirunavukkarasu Nepolean   +6 more
doaj   +1 more source

Parametrically Guided Non‐parametric Regression [PDF]

open access: yesScandinavian Journal of Statistics, 1998
We present a new approach to regression function estimation in which a non‐parametric regression estimator is guided by a parametric pilot estimate with the aim of reducing the bias. New classes of parametrically guided kernel weighted local polynomial estimators are introduced and formulae for asymptotic expectation and variance, hence approximated ...
openaire   +2 more sources

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