With its broad coverage of methodology, this comprehensive book is a useful learning and reference tool for those in applied sciences where analysis and research of time series is useful. Its plentiful examples show the operational details and purpose of a variety of univariate and multivariate time series methods. Numerous figures, tables and real-life time series data sets il...(展开全部)

魏武雄(William W.S.Wei)博士是宾夕法尼亚州费城天普大学(Temple University)的统计学教授，自1974年就在此任教。他于1966年获得台湾大学经济学学士学位，又于l969年获得俄勒冈大学 (University ofOregon)的数学学士学位，1972年和l974年分别获得威斯康星大学麦迪逊分校(University of Wisconsin-Madison)的统计学硕士和统计学博士学位。他的研究兴趣包括时间序列分析、预测方法、统计建模以及统计学在商业和经济学的应用。他是美国统计学会(AmericanStatistical Association，简称ASA)院士，英国皇家统计学会(Royal Statistical Society，RSS)会员，国际统计学会(ISI)入选会员，2002年泛华统计协会(ICSA)的主席...(展开全部)

Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series. Through a fundamental balance of theory and methodology, the book supplies readers with a comprehensible approach to financial econometric models and their applications to real-world empiri...(展开全部)

Since the publication of his first book, Analysis of Financial Time Series, Ruey Tsay has become one of the most influential and prominent experts on the topic of time series. Different from the traditional and oftentimes complex approach to multivariate (MV) time series, this sequel book emphasizes structural specification, which results in simplified parsimonious VARMA mode...(展开全部)

The analysis of time series data is essential to many areas of science, engineering, finance and economics. This introduction to wavelet analysis "from the ground level and up," and to wavelet-based statistical analysis of time series focuses on practical discrete time techniques, with detailed descriptions of the theory and algorithms needed to understand and implement the dis...(展开全部)

This introduction to wavelet analysis 'from the ground level and up', and to wavelet-based statistical analysis of time series focuses on practical discrete time techniques, with detailed descriptions of the theory and algorithms needed to understand and implement the discrete wavelet transforms. Numerous examples illustrate the techniques on actual time series. The many embedd...(展开全部)

Time Series: Theory and Methods is a systematic account of linear time series models and their application to the modelling and prediction of data collected sequentially in time. The aim is to provide specific techniques for handling data and at the same time to provide a thorough understanding of the mathematical basis for techniques. Both time and frequency domain methods are...(展开全部)

This disk is designed to accompany the book "Time Series: Theory and Methods" by P.J. Brockwell and R.A. Davis. It contains programs written for the IBM PC (and compatible computers), which can be used to apply the methods described in the text to the data sets supplied in the book's appen- dix, to stimulated data sets, or to data provided by the reader.

This paperback edition is a reprint of the 1991 edition. Time Series: Theory and Methods is a systematic account of linear time series models and their application to the modeling and prediction of data collected sequentially in time. The aim is to provide specific techniques for handling data and at the same time to provide a thorough understanding of the mathematical basis f...(展开全部)

Time Series: Theory and Methods is a systematic account of linear time series models and their application to the modelling and prediction of data collected sequentially in time. The aim is to provide specific techniques for handling data and at the same time to provide a thorough understanding of the mathematical basis for techniques. Both time and frequency domain methods are...(展开全部)