1. |
A METHOD FOR GENERATING INDEPENDENT REALIZATIONS OF A MULTIVARIATE NORMAL STATIONARY AND INVERTIBLE ARMA(p, q) PROCESS |
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Journal of Time Series Analysis,
Volume 8,
Issue 2,
1987,
Page 125-130
Piero Barone,
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摘要:
Abstract.A method for generating finite independent realizations of a normal multivariate stationary ARMA(p, q) process is proposed. It is based on anAR(1) representation of an ARMA(p, q) process allowing for an exact generation of the initial values of the simulation algorithm. Input facilities are supplied in order to assure stationarity and invertibility of the considered process.
ISSN:0143-9782
DOI:10.1111/j.1467-9892.1987.tb00426.x
出版商:Blackwell Publishing Ltd
年代:1987
数据来源: WILEY
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2. |
IMPROVING THE COMPUTATIONAL EFFICIENCY OF THE BAYESIAN DECOMPOSITION OF A TIME SERIES: A COMMENT |
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Journal of Time Series Analysis,
Volume 8,
Issue 2,
1987,
Page 131-133
Corrado Corradi,
Claudia Scarani,
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摘要:
Abstract.This note describes an improvement of Ishiguro's algorithm for the Bayesian decomposition of a time series based on the use of a specialized band Cholesky factorization.
ISSN:0143-9782
DOI:10.1111/j.1467-9892.1987.tb00427.x
出版商:Blackwell Publishing Ltd
年代:1987
数据来源: WILEY
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3. |
MAXIMUM LIKELIHOOD ESTIMATION OF AUTOCOVARIANCE MATRICES FROM REPLICATED SHORT TIME SERIES |
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Journal of Time Series Analysis,
Volume 8,
Issue 2,
1987,
Page 135-146
Serge Degerine,
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摘要:
Abstract.The maximum likelihood estimation of an autocovariance matrix based on replicated observations of stationary times series is considered. A sufficient condition for the existence of the estimate, when the sample covariance matrix is singular, is given. An iterative method for its computation is proposed: it is based on some spectral decompositions of Toeplitz matrices. Simulation results show the superiority of the estimate over the usual empirical sample autocovariance matrix.
ISSN:0143-9782
DOI:10.1111/j.1467-9892.1987.tb00428.x
出版商:Blackwell Publishing Ltd
年代:1987
数据来源: WILEY
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4. |
REGRESSION MODELS FOR NON‐STATIONARY CATEGORICAL TIME SERIES |
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Journal of Time Series Analysis,
Volume 8,
Issue 2,
1987,
Page 147-160
Ludwig Fahrmeir,
Heinz Kaufmann,
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摘要:
Abstract.Categorical time series often exhibit non‐stationary behaviour, due to the influence of exogenous variables. A parsimonious and flexible class of models is proposed for the statistical analysis of such data. These models are extensions of regression models for stochastically independent observations. Statistical inference can be based on asymptotic properties of the maximum likelihood estimator and of test statistics for linear hypotheses. Weak conditions assuring these properties are stated. Some tests which are of special interest in the time series situation are treated in more detail, for example tests of stationarity or independence of parallel time serie
ISSN:0143-9782
DOI:10.1111/j.1467-9892.1987.tb00429.x
出版商:Blackwell Publishing Ltd
年代:1987
数据来源: WILEY
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5. |
A COMPARATIVE STUDY OF VARIOUS UNIVARIATE TIME SERIES MODELS FOR CANADIAN LYNX DATA |
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Journal of Time Series Analysis,
Volume 8,
Issue 2,
1987,
Page 161-176
K. S. Lim,
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摘要:
Abstract.This paper describes the results of a simulation study aimed at comparing the various time series models, both linear and non‐linear, fitted to the annual Canadian lynx trappings for the years 1821–1
ISSN:0143-9782
DOI:10.1111/j.1467-9892.1987.tb00430.x
出版商:Blackwell Publishing Ltd
年代:1987
数据来源: WILEY
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6. |
A PROTOTYPICAL SEASONAL ADJUSTMENT MODEL |
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Journal of Time Series Analysis,
Volume 8,
Issue 2,
1987,
Page 177-193
Agustin Maravall,
David A. Pierce,
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摘要:
Abstract.The paper analyses unobserved‐components modelling and estimation for the simplest ARIMA process that accepts a full decomposition into trend, seasonal and irregular components. This prototypical model exemplifies many features of and issues arising in model‐based seasonal adjustment that are less transparent in more complex seasonal time series models. In particular the analysis illuminates the major issues surrounding the specification of the component models and the identification of a unique structure for them. In so doing, the relationship between reduced‐ and structural‐form approaches to unobserved components estimation is illustrated within an ARIMA‐modelling framework. Finally, the properties of the minimum mean‐squared‐error estimators of the unobserved components are examined and the two main types of estimation error, revisions in the preliminary estimator and error in the final estimator,
ISSN:0143-9782
DOI:10.1111/j.1467-9892.1987.tb00431.x
出版商:Blackwell Publishing Ltd
年代:1987
数据来源: WILEY
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7. |
SUR UN MODÉLE AUTORÉGRESSIF NON LINÉAIRE, ERGODICITÉ ET ERGODICITÉ GÉOMÉTRIQUE |
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Journal of Time Series Analysis,
Volume 8,
Issue 2,
1987,
Page 195-204
Abdelkader Mokkadem,
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摘要:
Resumé.On établit des conditions suffisantes d'ergodicité et d'ergodicité géométrique pour la chaine de Markov (Xn) définie parOn donne également des exemples d'application.Abstract.We obtain sufficient conditions of ergodicity and geometric ergodicity for the Markov chain (Xn) defined byWe give also some appli
ISSN:0143-9782
DOI:10.1111/j.1467-9892.1987.tb00432.x
出版商:Blackwell Publishing Ltd
年代:1987
数据来源: WILEY
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8. |
SOME ASYMPTOTIC PROPERTIES OF THE SAMPLE COVARIANCES OF GAUSSIAN AUTOREGRESSIVE MOVING‐AVERAGE PROCESSES |
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Journal of Time Series Analysis,
Volume 8,
Issue 2,
1987,
Page 205-220
Boaz Porat,
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摘要:
Abstract.The paper deals with the asymptotic variances of the sample covariances of autoregressive moving average processes. Using state‐space representations and some matrix Lyapunov equation theory, closed‐form expressions are derived for the asymptotic variances of the sample covariances and for the Cramer‐Rao bounds on the process covariances. The main results obtained from these expressions are as follows: For ARMA (p, q) processes withp≥q, the sample covariance of ordernis asymptotically efficient if and only if 0 ≤n≤p – q.For ARMA (p, q) processes withp
ISSN:0143-9782
DOI:10.1111/j.1467-9892.1987.tb00433.x
出版商:Blackwell Publishing Ltd
年代:1987
数据来源: WILEY
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9. |
MULTIPLE BILINEAR TIME SERIES MODELS |
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Journal of Time Series Analysis,
Volume 8,
Issue 2,
1987,
Page 221-233
Boonchai K. Stensholt,
Dag Tjøstheim,
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摘要:
Abstract.A definition of multiple bilinear time series models is given. Sufficient conditions are obtained for the existence of strictly stationary solutions conforming to the model, and a brief discussion of the first and second order structure is included.
ISSN:0143-9782
DOI:10.1111/j.1467-9892.1987.tb00434.x
出版商:Blackwell Publishing Ltd
年代:1987
数据来源: WILEY
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10. |
NEAREST‐NEIGHBOUR METHODS FOR TIME SERIES ANALYSIS |
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Journal of Time Series Analysis,
Volume 8,
Issue 2,
1987,
Page 235-247
S. Yakowitz,
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摘要:
Abstract.The nearest‐neighbour method, because of its intuitively appealing nature and competitive theoretical properties, deserves consideration in time‐series applications akin to attention it has received lately in the i.i.d. case. Here it is shown that as a nonparametric regression device, like the kernel method, under theG2mixing assumption, it converges in quadratic mean at the Stone‐optimal rate. In the closing sections, our methodology is extended to a broader pattern‐recognition context, and applied to hydrolog
ISSN:0143-9782
DOI:10.1111/j.1467-9892.1987.tb00435.x
出版商:Blackwell Publishing Ltd
年代:1987
数据来源: WILEY
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