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Titlebook: Stochastic Processes; Inference Theory M. M. Rao Book 20001st edition Springer Science+Business Media Dordrecht 2000 Likelihood.Mathematica

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书目名称Stochastic Processes
副标题Inference Theory
编辑M. M. Rao
视频video
丛书名称Mathematics and Its Applications
图书封面Titlebook: Stochastic Processes; Inference Theory M. M. Rao Book 20001st edition Springer Science+Business Media Dordrecht 2000 Likelihood.Mathematica
描述The material accumulated and presented in this volume can be ex­ plained easily. At the start of my graduate studies in the early 1950s, I Grenander‘s (1950) thesis, and was much attracted to the came across entire subject considered there. I then began preparing for the neces­ sary mathematics to appreciate and possibly make some contributions to the area. Thus after a decade of learning and some publications on the way, I wanted to write a modest monograph complementing Grenander‘s fundamental memoir. So I took a sabbatical leave from my teaching position at the Carnegie-Mellon University, encouraged by an Air Force Grant for the purpose, and followed by a couple of years more learning opportunity at the Institute for Advanced Study to complete the project. As I progressed, the plan grew larger needing a substantial background material which was made into an independent initial volume in (1979). In its preface I said: "My intension was to present the following material as the first part of a book treating the In­ ference Theory of stochastic processes, but the latter account has now receded to a distant future," namely for two more decades! Meanwhile, a much enlarged second editi
出版日期Book 20001st edition
关键词Likelihood; Mathematica; Parameter; statistics; stochastic process; stochastic processes
版次1
doihttps://doi.org/10.1007/978-1-4757-6596-0
isbn_softcover978-1-4419-4832-8
isbn_ebook978-1-4757-6596-0
copyrightSpringer Science+Business Media Dordrecht 2000
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M. M. Raodvances in management. The book is divided into four sections, the first of which discusses MDD from a network science perspective, highlighting the alterations in functional and structural connectivity and presenting insights achieved through resting state functional MRI and the development of neur
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M. M. Raosets. Open data is valuable when the data is reused, shared and integrated. Converting the existing datasets to the RDF format can increase the values of these datasets. In this paper, we present the architecture and processes for RDF dataset management for Data.go.th based on OAM Framework which su
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M. M. Raoof well posedhess for vector optimization problems. As far as the first part is concerned, I shall refer to other, more specific papers, for a deeper analysis: here I want only to put a few of properties of well posedness in some evidence: in particular I shall spend some words about the ordinal cha
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