Results 261 to 270 of about 4,733,796 (328)

Non-Parametric Methods in Psychological Research

Psychological Reports, 1959
J. Gaito
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Non-parametric Methods

Intermittent Demand Forecasting
semanticscholar   +3 more sources

Non-Parametric Regression Methods

Computational Management Science, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Non-Parametric Analysis Methods

2001
As mentioned in Chapter 6, non-parametric tests are applicable in two circumstances: (1) when parametric tests cannot be used owing to the scale of the response variable, that is, the scale is nominal or ordinal, and (2) when, even when the scale of the response variable admits the use of parametric tests, that is, it is an interval or ratio scale, the
Natalia Juristo, Ana M. Moreno
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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
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Comparison parametric and non-parametric methods in probabilistic load flow studies for power distribution networks

Electrical Engineering, 2022
A. Abbasi
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Non-parametric graduation using kernel methods

Journal of the Institute of Actuaries, 1983
LetEbe an event whose probability of occurrence depends on some continuous variablex, P(E|x) =qxFor example,Emay be death andxage,Emay be incidence of lung cancer andxamount of smoking, orEmay be reconviction of a parolee withxprevious criminal convictions (with suitable definitions of the underlying time interval for the occurrence ofE).
J. B. Copas, S. Haberman
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Non-Parametric Spectral Methods

2015
This chapter deals with obtaining a good estimate of the power spectrum of a random signal on the basis of a finite number of samples of a typical realization of the underlying random process—one among the infinite sequences that the process can generate when we measure it.
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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 methods in demand analysis

Economics Letters, 1982
Abstract This note describes techniques developed by Afriat, Diewert, Varian, and others that allow empirical investigation of consumer demand data without imposing any maintained hypotheses concerning the parametric form of the underlying demand or utility functions.
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