Results 41 to 50 of about 272,137 (196)
This work focusses on estimation the standard deviation (SD) and coefficient of variation (CV) in the normal distribution. These two measures are useful in applications and widely used to report the spread or variability of continuous data.
Patarawan Sangnawakij +1 more
doaj +1 more source
Random walk in Markovian environment
We prove a quenched central limit theorem for random walks with bounded increments in a randomly evolving environment on $\mathbb{Z}^d$. We assume that the transition probabilities of the walk depend not too strongly on the environment and that the ...
Dolgopyat, Dmitry +2 more
core +1 more source
Angewandte Geostatistik in der landwirtschaftlichen Versuchsplanung
In der landwirtschaftlichen Versuchsplanung tritt oft auch eine räumliche und/oder eine zeitliche Komponente auf. Bei Feldversuchen mit raumbezogenen Daten kann die Variation zwischen Messungen bei einer bestimmten Distanz mit Hilfe des Semivariogramms ...
Herbert Schwarz
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On the P-value for Members of the Cressie-Read Family of Divergence Statistics
A few years ago a paper appeared in this Journal that proposed a closed-form approximation of the p-value for Pearson's chi-squared statistic. Extensive empirical and simulation studies were performed and it was shown that the approximation provides ...
Eric Beh, Wang Ting-Wu
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Evaluating normal probabilities on a graphics calculator [PDF]
One of the strengths of a graphics calculator is the potential it offers for students to explore mathematical ideas from a few different perspectives. A good example of this involves the normal probability distribution, frequently encountered in senior ...
Kissane, B.
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Minimax signal detection in ill-posed inverse problems
Ill-posed inverse problems arise in various scientific fields. We consider the signal detection problem for mildly, severely and extremely ill-posed inverse problems with $l^q$-ellipsoids (bodies), $q\in(0,2]$, for Sobolev, analytic and generalized ...
Ingster, Yuri I. +2 more
core +1 more source
Extracting Information from Interval Data Using Symbolic Principal Component Analysis
We introduce generic definitions of symbolic variance and covariance for random interval-valued variables, that lead to a unified and insightful interpretation of four known symbolic principal component estimation methods: CPCA, VPCA, CIPCA, and ...
M. R. Oliveira +4 more
doaj +1 more source
Analysis of Count Time Series: A Bayesian GARMA(p, q) Approach
Extensions of the Autoregressive Moving Average, ARMA(p, q), class for modeling non-Gaussian time series have been proposed in the literature in recent years, being applied in phenomena such as counts and rates.
Luiz Otávio de Oliveira Pala +2 more
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Confidence bands in nonparametric time series regression
We consider nonparametric estimation of mean regression and conditional variance (or volatility) functions in nonlinear stochastic regression models.
Wu, Wei Biao, Zhao, Zhibiao
core +2 more sources
Industrial Statistics Revisited: From Footnotes to Meta-Information Management
UNIDO maintains a long tradition in the compilation of international statistics on industrial production and, particularly, has developed a suite of tools and techniques for improving third-party data, mainly supplied directly or indirectly by National ...
Karl A. Froeschl +2 more
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