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Titlebook: Bootstrapping and Related Techniques; Proceedings of an In Karl-Heinz J?ckel,Günter Rothe,Wolfgang Sendler Conference proceedings 1992 Spri

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發(fā)表于 2025-3-21 19:44:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Bootstrapping and Related Techniques
期刊簡(jiǎn)稱(chēng)Proceedings of an In
影響因子2023Karl-Heinz J?ckel,Günter Rothe,Wolfgang Sendler
視頻videohttp://file.papertrans.cn/190/189804/189804.mp4
學(xué)科分類(lèi)Lecture Notes in Economics and Mathematical Systems
圖書(shū)封面Titlebook: Bootstrapping and Related Techniques; Proceedings of an In Karl-Heinz J?ckel,Günter Rothe,Wolfgang Sendler Conference proceedings 1992 Spri
影響因子This book contains 30 selected, refereed papers from an in-ternational conference on bootstrapping and related techni-ques held in Trier 1990. Thepurpose of the book is to in-form about recent research in the area of bootstrap, jack-knife and Monte Carlo Tests. Addressing the novice and theexpert it covers as well theoretical as practical aspects ofthesestatistical techniques. Potential users in differentdisciplines as biometry, epidemiology, computer science,economics and sociology but alsotheoretical researchers s-hould consult the book to be informed on the state of theart in this area.
Pindex Conference proceedings 1992
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https://doi.org/10.1007/978-981-13-0683-9This article discusses the design and bootstrap construction of asymptotically optimal prediction regions. The emphasis is on devising simultaneous one-sided prediction intervals. A good solution to this problem implies constructions for simultaneous two-sided prediction intervals and for multivariate prediction regions.
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Mitsuhiro Hayashi,Kaliappa KalirajanWe consider ., i.e. discrete time processes generated by.where ε., - ∞ < t < ∞, are i.i.d. zero-mean real random variables with probability density f. and finite variance .. Then, the transition probabilities P(x,.) of the Markov chain (1) are absolutely continuous with density f. (.- m(x)).
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The Generalized BootstrapThe bootstrap of Efron is generalized to the Generalized Bootstrap. The Generalized Bootstrap has superior properties for continuous data in the small-sample non-asymptotic case.
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https://doi.org/10.1007/978-981-13-0683-9.,…, Y.), i = 1,.., n. If Y is the nxp matrix whose ith row is Y.′, it is hypothesized that Y = Xβ + ε, where X is an nxq matrix of known constants, β is a qxp matrix of unknown constants, and ε is an nxp matrix of random variables whose rows ε.′, i = 1,…,n are independent, each with mean 0 and posi
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