Results 281 to 290 of about 1,274,147 (339)

Association of Anthropometric Obesity Measures With Semen Parameters in Male Partners of Infertile Couples Without Identifiable Clinical Risk Factors. [PDF]

Cureus
Waghmare OB, Sandhu N, Saiyad SS, Hundal JK, Dubey RU, Parthasarathy P, Ekambaram G, Parikh SU, Prabhakar Choudhari S.   +8 more
europepmc   +1 more source

The significance of molecular heterogeneity in breast cancer batch correction and dataset integration. [PDF]

Breast Cancer Res
Moir N, Pearce DA, Langdon SP, Simpson TI.   +3 more
europepmc   +1 more source

Effects of strong parametric excitation on cantilever beam: non-perturbative approach. [PDF]

Sci Rep
Moatimid GM, Amer TS, Elagamy K.
europepmc   +1 more source

Adversarial Examples for Non-Parametric Methods: Attacks, Defenses and Large Sample Limits.

, 2019
Yao-Yuan Yang, Cyrus Rashtchian, Yizhen Wang, Kamalika Chaudhuri   +3 more
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Quantifying venom in African snakes: Insights into protein content, yield and body size associations. [PDF]

Toxicon X
French S, Da Silva R, Have MT, Crittenden E, Rowley P, Cullen IC, Holland Z, Wilkinson MC, Modahl CM.   +8 more
europepmc   +1 more source

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Non-Parametric Regression Methods

Computational Management Science, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

A modeling paradigm incorporating parametric and non-parametric methods

The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2005
A novel parametric/non-parametric modeling paradigm was defined and used in characterization of synaptic transmission. In this paradigm, parametric and nonparametric techniques were incorporated in a complementary manner. Non-parametric method was used to generalize experimental data and extract system input/output properties.
D, Song, Z, Wang, V Z, Marmarelis, T W, Berger   +3 more
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Comparing parametric and non-parametric methods

African Journal of Midwifery and Women's Health, 2018
In this article, we will introduce the idea of parametric and non-parametric methods, which can be used to compare statistical hypotheses about population parameters
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Non-parametric Statistical Methods

1987
Basic statistics and econometrics courses stress methods based on assuming that the data or error term in regression models follow the normal distribution. Indeed, the efficiency of least squares estimates relies on the assumption of normality. In order to lessen the dependence of statistical inference on that assumption statisticians developed methods
openaire   +1 more source