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Titlebook: MODA4 — Advances in Model-Oriented Data Analysis; Proceedings of the 4 Christos P. Kitsos,Werner G. Müller Conference proceedings 1995 Spri

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MODA4 — Advances in Model-Oriented Data Analysis978-3-662-12516-8Series ISSN 1431-1968 Series E-ISSN 2628-8966
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Contributions to Statisticshttp://image.papertrans.cn/m/image/620195.jpg
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Optimal Design for Experiments with Potentially Failing Trialsumerical results for .-optimal designs are given for estimating the coefficients of a polynomial regression. For small sample sizes these designs may deviate substantially from the corresponding designs in the case of certain response. They can be less efficient, but are less affected by failing trials.
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Estimation of Parameters in Factorial Triallel Analysis for BIB Design — the Mixed Modelin a balanced incomplete block design in which the block effects are treated as random. The statistical analysis includes estimation (intra-block, inter-block and combining) of general line effects and two-line and three-line specific effects.
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ubgradient method, which computes an approximate maximum of a positive convex function with certain relative accuracy. We show how to apply this method to solve problems of fractional covering, maximal concurrent flow, semidefinite relaxation, online optimization, portfolio management, and others. F
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Grace Montepiedra be used either in the primal form, or in the symmetric primal-dual form. We include in this chapter an example of application of this approach to the problem of Semidefinite Optimization. The chapter is concluded by analysis of performance of the Conditional Gradient method, which is based only on
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Merlise A. Clydeeads to their near-uniform peak brightness, exploited by astronomers to estimate distances. We show how advances in the empirical understanding of SNe Ia led to the direct discovery of the accelerating universe and how modern SN Ia searches and distance estimation techniques, combined with complemen
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