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Titlebook: Asymptotics in Statistics; Some Basic Concepts Lucien Cam,Grace Yang Book 19901st edition Springer-Verlag New York Inc. 1990 DEX.LAN.Statis

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期刊全稱Asymptotics in Statistics
期刊簡(jiǎn)稱Some Basic Concepts
影響因子2023Lucien Cam,Grace Yang
視頻videohttp://file.papertrans.cn/164/163855/163855.mp4
學(xué)科分類Springer Series in Statistics
圖書封面Titlebook: Asymptotics in Statistics; Some Basic Concepts Lucien Cam,Grace Yang Book 19901st edition Springer-Verlag New York Inc. 1990 DEX.LAN.Statis
影響因子In the summer of 1968 one of the present authors (LLC) had the pleasure of giving a sequence of lectures at the University of Mon- treal. Lecture notes were collected and written out by Drs. Catherine Doleans, Jean Haezendonck and Roch Roy. They were published in French by the Presses of the University of Montreal as part of their series of Seminaires de Mathematiques Superieures. Twenty years later it was decided that a Chinese translation could be useful, but upon prodding by Professor Shanti Gupta at Purdue we concluded that the notes should be updated and rewritten in English and in Chinese. The present volume is the result of that effort. We have preserved the general outline of the lecture notes, but we have deleted obsolete material and sketched some of the results acquired during the past twenty years. This means that while the original notes concentrated on the LAN situation we have included here some results of Jeganathan and others on the LAMN case. Also included are versions of the Hajek-Le Cam asymptotic minimax and convolution theorems with some of their implications. We have not attempted to give complete coverage of the subject and have often stated theorems without
Pindex Book 19901st edition
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On Bayes Procedures,e measure μ and minimizing the average risk .. (See Chapter 2 for notation). The procedure ρ that achieves this minimum will of course depend on the choice of μ. However the literature contains numerous statements to the effect that, for large samples, the choice of μ matters little. This cannot be
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Experiments, Deficiencies, Distances,indices Θ is called the parameter space. To obtain a statistical decision problem in the sense of Wald we also need a set . of possible decisions and a loss function . defined on Θ × . and taking values in (? ∞, +∞].
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https://doi.org/10.1007/978-1-4419-8963-5indices Θ is called the parameter space. To obtain a statistical decision problem in the sense of Wald we also need a set . of possible decisions and a loss function . defined on Θ × . and taking values in (? ∞, +∞].
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