Results 211 to 220 of about 616,181 (242)
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1991
As outlined in Chapter 1 the techniques of statistical inference usually require that assumptions be made regarding the sample data. Such assumptions usually include the type of sampling process that produced the data and in some cases the nature of the population distribution from which the sample was drawn.
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As outlined in Chapter 1 the techniques of statistical inference usually require that assumptions be made regarding the sample data. Such assumptions usually include the type of sampling process that produced the data and in some cases the nature of the population distribution from which the sample was drawn.
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Multiparameter Univariate Bayesian Analysis
Journal of the American Statistical Association, 1979Abstract Bayesian analysis using Monte Carlo integration is a powerful method for univariate inference. This approach makes possible multiparameter flexibility within families of univariate distributions. These distributions are defined in this article by increasing spline functions superimposed on probability paper coordinate systems.
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Univariate Measures of Persistence: A Comparative Analysis
Persistence is the speed with which a time series returns to its mean after a shock. Although several measures of persistence have been proposed in the literature, when they are empirically applied, the different measures indicate incompatible messages, as they differ both in the level and the implied evolution of persistence.Arango-Castillo, Lenin +2 more
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Continuous Univariate Multimodal Analysis and Discrete Univariate Multimodal Analysis (2)
IEICE Proceeding Series, 2020Kanemitsu, Hideo, Konno, Hideaki
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