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標(biāo)題: Titlebook: Random Coefficient Autoregressive Models: An Introduction; An Introduction Des F. Nicholls,Barry G. Quinn Book 1982 Springer-Verlag New Yor [打印本頁]

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書目名稱Random Coefficient Autoregressive Models: An Introduction影響因子(影響力)




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作者: MEAN    時(shí)間: 2025-3-21 21:55

作者: Control-Group    時(shí)間: 2025-3-22 03:29

作者: PANG    時(shí)間: 2025-3-22 08:38
Des F. Nicholls,Barry G. Quinnross-disciplinary contributors, including academic researchers, biologists, psychiatrists, sociologists, anthropologists and public policy experts, and includes authors from around the world.?.978-3-319-69892-2
作者: 同步信息    時(shí)間: 2025-3-22 09:30
Random Coefficient Autoregressive Models: An IntroductionAn Introduction
作者: thyroid-hormone    時(shí)間: 2025-3-22 14:53
Introduction,h time series research has headed. This is clearly demonstrated for example by the computational requirements of Akaike’s criterion (see Akaike (1978)) to determine the order of a particular linear time series model. With the increase in computer capabilities the application of such criteria has bec
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作者: 綁架    時(shí)間: 2025-3-23 01:02
Book 1982ree dimensional" graphs of the log-likelihood functions which appear on pages 83-86. Finally we would like to thank J. Radley, H. Patrikka and D. Hewson for their contributions towards the typing of a difficult manuscript. IV CONTENTS CHAPTER 1 INTRODUCTION 1. 1 Introduction 1 Appendix 1. 1 11 Appen
作者: 男生戴手銬    時(shí)間: 2025-3-23 03:56

作者: 休閑    時(shí)間: 2025-3-23 08:55
Des F. Nicholls,Barry G. Quinnareful attention to empirical research and literature from around the globe, the encyclopedia is of interest to a wide audience that includes researchers, teachers and students, policy makers, (non)governmental agencies, public health practitioners, business planners, and many other individuals and organizations.?.978-3-030-22009-9
作者: SIT    時(shí)間: 2025-3-23 13:14
Des F. Nicholls,Barry G. Quinnareful attention to empirical research and literature from around the globe, the encyclopedia is of interest to a wide audience that includes researchers, teachers and students, policy makers, (non)governmental agencies, public health practitioners, business planners, and many other individuals and organizations.?.978-3-030-22009-9
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作者: aviator    時(shí)間: 2025-3-24 01:29
Des F. Nicholls,Barry G. Quinn many other individuals and organizations. The encyclopedia brings together nearly 1,400 cross-disciplinary contributors, including academic researchers, biologists, psychiatrists, sociologists, anthropologists and public policy experts, and includes authors from around the world.?.
作者: 不愿    時(shí)間: 2025-3-24 05:47
many other individuals and organizations. The encyclopedia brings together nearly 1,400 cross-disciplinary contributors, including academic researchers, biologists, psychiatrists, sociologists, anthropologists and public policy experts, and includes authors from around the world.?.
作者: innovation    時(shí)間: 2025-3-24 08:41

作者: inhumane    時(shí)間: 2025-3-24 12:56
A Monte Carlo Study, models for several sets of data of different sizes. While the simulations performed have been by no means exhaustive, as we shall see the results do conform with the asymptotic theory developed in the last two chapters.
作者: 比喻好    時(shí)間: 2025-3-24 15:18
The Estimation of Multivariate Models,of the estimation of multivariate RCA models. While the least squares estimation procedure of chapter 3 will be seen to extend readily to the multivariate situation, the extension of the maximum likelihood procedure is not as straightforward.
作者: Vsd168    時(shí)間: 2025-3-24 19:31
Lecture Notes in Statisticshttp://image.papertrans.cn/r/image/821033.jpg
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作者: 瘙癢    時(shí)間: 2025-3-26 00:01
Des F. Nicholls,Barry G. Quinnly approaches to the subject.Serves as an essential referenc.This eight-volume encyclopedia brings together a comprehensive collection of work highlighting established research and emerging science in all relevant disciplines in gerontology and population aging. It covers the breadth of the field, g
作者: 愉快嗎    時(shí)間: 2025-3-26 01:04
Des F. Nicholls,Barry G. Quinnly approaches to the subject.Serves as an essential referenc.This eight-volume encyclopedia brings together a comprehensive collection of work highlighting established research and emerging science in all relevant disciplines in gerontology and population aging. It covers the breadth of the field, g
作者: 青少年    時(shí)間: 2025-3-26 07:57
Des F. Nicholls,Barry G. Quinnly approaches to the subject.Serves as an essential referenc.This eight-volume encyclopedia brings together a comprehensive collection of work highlighting established research and emerging science in all relevant disciplines in gerontology and population aging. It covers the breadth of the field, g
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作者: lipids    時(shí)間: 2025-3-26 18:58
Des F. Nicholls,Barry G. Quinnhensive coverage of the field – spanning biology, psychology.This encyclopedia brings together established and emerging research findings in all relevant disciplines of gerontology and population aging. It provides comprehensive coverage of the entire breadth of the field, gives readers access to al
作者: 里程碑    時(shí)間: 2025-3-27 00:41
Des F. Nicholls,Barry G. Quinnides comprehensive coverage of the entire breadth of the field, gives readers access to all major sub-fields and illustrates their interconnectedness with other disciplines. The nearly 1,100 entries delve deep into key areas of gerontology and population aging—such as successful aging, disablement,
作者: 歌曲    時(shí)間: 2025-3-27 04:56

作者: Congestion    時(shí)間: 2025-3-27 05:31
0930-0325 e non-linear models so far considered in the statistical literature, in that their analysis is quite tractable. It has been possible to find conditions for stationarity and stability, to derive estimates of the unknown parameters, to establish asymptotic properties of these estimates and to obtain t
作者: textile    時(shí)間: 2025-3-27 12:35

作者: 自作多情    時(shí)間: 2025-3-27 14:15
Testing the Randomness of the Coefficients,se of the theory derived in chapter 4 to test what is perhaps the most relevant hypothesis, namely that Σ = 0, that is, that the data come from a fixed coefficient autoregression. This chapter examines the testing of hypotheses in general, and in particular, two tests for the hypothesis that Σ = 0.
作者: Chivalrous    時(shí)間: 2025-3-27 19:24
An Application,en applied. An extensive account of the statistical and historical aspects of the modelling of the lynx data is contained in Campbell and Walker (1977) (where the data are reproduced since the original sources are relatively inaccessible) and the discussion which follows.
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作者: 表示問    時(shí)間: 2025-3-28 02:24
Introduction, models to be the “best” class of model to fit to a set of real data, although one tacitly makes the assumption that the linear model under consideration is a close approximation to physical reality. A number of factors have resulted in a consideration of different classes of non-linear models, not
作者: LEERY    時(shí)間: 2025-3-28 10:20

作者: Libido    時(shí)間: 2025-3-28 13:04
Least Squares Estimation of Scalar Models,tionary time series {X(t)} satisfies such an equation, it is necessary to estimate the unknown parameters in order to provide predictors of X(t) given past values of the process. Estimation procedures for fixed coefficient autoregressions are well established, and the asymptotic properties of these
作者: 真實(shí)的人    時(shí)間: 2025-3-28 17:16
Maximum Likelihood Estimation of Scalar Models,and {B(t)} were sequences of normally distributed random variables. We shall refer to the estimates obtained in this way as maximum likelihood estimates even though it will be shown that these estimates will be strongly consistent and satisfy a central limit theorem if the processes {ε(t)} and ({B(t
作者: 哭得清醒了    時(shí)間: 2025-3-28 19:32
A Monte Carlo Study, models for several sets of data of different sizes. While the simulations performed have been by no means exhaustive, as we shall see the results do conform with the asymptotic theory developed in the last two chapters.
作者: 瘙癢    時(shí)間: 2025-3-29 00:21
Testing the Randomness of the Coefficients,The condition (cii), however, which was assumed so as to obtain a standard central limit theorem for the maximum likelihood estimates, precludes the use of the theory derived in chapter 4 to test what is perhaps the most relevant hypothesis, namely that Σ = 0, that is, that the data come from a fixe




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