Results 51 to 60 of about 24,712 (268)
Iterative methods improving newton's method by the decomposition method
In order to solve a scalar nonlinear equation \(f(x)=0\), the author constructs a sequence of higher-order iterative methods of Newton-type by applying the so called Adomian's decomposition method, see \textit{G. Adomian} and \textit{R. Rach} [Math. Anal. Appl. 105, 141--166 (1985; Zbl 0552.60060)].
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Asymptotic properties of cross‐classified sampling designs
Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
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Partial identification with categorical data and nonignorable missing outcomes
Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
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La méthode des captures successives ( De Lury ) a été utilisée pour l'évaluation de trois types de peuplements piscicoles. Les résultats obtenus avec deux pêches et trois pêches sont comparés entre eux; la méthode des captures-recaptures (Petersen) a ...
LAURENT M., LAMARQUE P.
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The Method of Problems versus the Method of Topics
AbstractConfused students researching papers not knowing where they are going. Articles, lectures, and books on exciting topics that turn out to be boring. Such familiar phenomena are symptoms of a widespread, largely unconscious methodological habit of focusing on topics rather than problems.
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Bayesian inverse ensemble forecasting for COVID‐19
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
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Improving Arabic language speaking skill of non-Arabic students in Karabuk University
The lack of understanding of Arabic among non-Arabic students at the Faculty of Divinity at Karabuk University is one of the factors that hinder them from understanding lessons, especially in courses such as qira'ah, tafsir, hadith, and others.
Riza Ashari +3 more
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Die in Biogasanlagen eingesetzten Substrate werden in erster Linie anhand ihres Biogaspotenzials charakterisiert. In der Tierernährung ist die In-Sacco-Methode eine anerkannte Methode, die zur Ermittlung der Verdaulichkeit verschiedener ...
Claudia Demmig +3 more
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Jackknife bias‐corrected variance estimation for the generalized regression estimator
Abstract Commonly used variance estimators for the generalized regression estimator (GREG) are based on Taylor linearization and jackknife. Traditionally, a jackknife GREG variance estimator is obtained by jackknifing GREG, which consists of computing GREG from each of several subsamples of the parent sample, and estimating the variance of the parent ...
Marius Stefan, J.N.K Rao
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A partial envelope approach for modelling multivariate spatial‐temporal data
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja +3 more
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