Comments on ‘Correlogram analysis revisited’ by J. R. Wallis and N. C. Matalas
نویسندگان
چکیده
منابع مشابه
Comments on relaxed $(gamma, r)$-cocoercive mappings
We show that the variational inequality $VI(C,A)$ has aunique solution for a relaxed $(gamma , r)$-cocoercive,$mu$-Lipschitzian mapping $A: Cto H$ with $r>gamma mu^2$, where$C$ is a nonempty closed convex subset of a Hilbert space $H$. Fromthis result, it can be derived that, for example, the recentalgorithms given in the references of this paper, despite theirbecoming more complicated, are not...
متن کاملSome queries on "Comments on 'Approximation capability in C(R¯n) by multilayer feedforward networks and related problems'"
In the comments letter by Huang et al. (ibid. vol.9 (1998)) the authors claimed that the boundedness of a sigmoidal function sigma(x) is neither sufficient nor necessary condition for the validity of the approximation theorem discussed in our original paper (ibid. vol.6 (1995)). In this paper, we show that this claim is incorrect.
متن کاملL Wallis, J Matthews. Medical Support on a Himalayan Expedition.
Introduction The number of people travelling to high altitude regions, especially in South America, Nepal and India, has risen enormously in the past 10 years. Alongside this increasing popularity of altitude trekking there has been an increase in the number of service expeditions. In October 2000, a Joint Service Expedition spent a month in Nepal attempting to scale Lobuche East, one of the tr...
متن کاملInterferometric correlogram-space analysis
Seismic interferometry is a method of obtaining a virtual shot gather from a collection of actual shot gathers. The set of traces corresponding to multiple actual shots recorded at two receivers is used to synthesize a virtual shot located at one of the receivers and a virtual receiver at the other. An estimate of a Green’s function between these two receivers is obtained by first cross-correla...
متن کاملAdvertising and Aggregate Consumption: an Analysis of Causality1 by R. Ashley, C. W. J. Granger, and R. Schmalensee
This paper is concerned with testing for causation, using the Granger definition, in a bivariate time-series context. It is argued that a sound and natural approach to such tests must rely primarily on the out-of-sample forecasting performance of models relating the original (non-prewhitened) series of interest. A specific technique of this sort is presented and employed to investigate the rela...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Water Resources Research
سال: 1972
ISSN: 0043-1397
DOI: 10.1029/wr008i004p01112