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Minimax-Schätzer für Schätz- und Testverfahren im linearen Regressionsmodell bei Vorinformation

Becker, Lioba - 1998

Persistent link: https://www.econbiz.de/10000992088

Proceedings of the Second Würzburg-Umeå Conference in Statistics : Bayerische Julius-Maximilians-Universität Würzburg, May 18 - 21, 1992

Collani, Elart von (contributor); Göb, Rainer (contributor) - Würzburg-Umeå Conference in Statistics <2, 1992, … - 1992

Persistent link: https://www.econbiz.de/10000934259

Computational statistics

Rao, Calyampudi Radhakrishna (contributor) - 1993

Persistent link: https://www.econbiz.de/10000348576

Stochastic programming and statistical estimates

Vogel, Silvia - In: Operations research proceedings 2003 : selected papers …, (pp. 443-450). 2004

Persistent link: https://www.econbiz.de/10002098545

Computational Statistics (Journal)

Härdle, Wolfgang - 2017

Computational Statistics is an international journal that fosters the publication of applications and methodological research in the field of computational statistics. In this article, we will discuss the motivation, history, some specialties, and the future scope of this journal

Persistent link: https://www.econbiz.de/10012966322

Compstat 1984 : Proceedings in Computational Statistics

Havránek, T. - 1984

Roots of Computational Statistics -- Computational Statistics in Random Processes -- Computational Aspects of Robustness -- Computational Graphics in Statistical Data Analysis -- Various Statistical and Data Analytic Methods -- Numerical Aspects and Complexity of Statistical Algorithms -- Linear...

Persistent link: https://www.econbiz.de/10013520253

An Algorithm to Maximize a Family of Optimal Statistics Over a Nuisance Parameter with Applications to Genetic Data Analysis

zheng, gang - 2018

In this article, a simple algorithm is provided to maximize a family of optimal statistics for hypothesis testing with a nuisance parameter not defined under the null hypothesis. This arises from genetic linkage and association studies and other hypothesis testing problems. It is known that the...

Persistent link: https://www.econbiz.de/10012922353

Canonical moments, orthogonal polynomials with application to statistics

Dette, Holger - 2002

In this paper we describe the special role of moment theory for the construction of optimal designs in statistical … role for the construction of optimal designs in these models. We introduce the theory of canonical moments, which provide a … problems. On the other hand these results can be used for the derivation of several new results in approximation theory. As …

Persistent link: https://www.econbiz.de/10009775972

An algorithmic approach to linear regression

Bertsimas, Dimitris; King, Angela - In: Operations research 64 (2016) 1, pp. 2-16

Persistent link: https://www.econbiz.de/10011447693

A computationally intensive ranking system for paired comparison data

Beaudoin, David; Swartz, Tim - In: Operations research perspectives 5 (2018), pp. 105-112

In this paper, we introduce a new ranking system where the data are preferences resulting from paired comparisons. When direct preferences are missing or unclear, then preferences are determined through indirect comparisons. Given that a ranking of n subjects implies paired preferences, the...

Persistent link: https://www.econbiz.de/10011956992