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

Amalgam

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Mhc-Molecule

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.

有花

Ptsd429

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)).

Limited

Misnomer

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.

AXIS

paleolithic

档案

压倒性胜利

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