圖書標籤: 統計學 R timeseries Statistics 金融 統計 金融數學 數據挖掘
发表于2024-09-09
Time Series Analysis and Its Applications pdf epub mobi txt 電子書 下載 2024
Time Series Analysis and Its Applications presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using non-trivial data illustrate solutions to problems such as evaluating pain perception experiments using magnetic resonance imaging or monitoring a nuclear test ban treaty. The book is designed to be useful as a text for graduate level students in the physical, biological and social sciences and as a graduate level text in statistics. Some parts may also serve as an undergraduate introductory course. Theory and methodology are separated to allow presentations on different levels. Material from the earlier 1988 Prentice-Hall text Applied Statistical Time Series Analysis has been updated by adding modern developments involving categorical time sries analysis and the spectral envelope, multivariate spectral methods, long memory series, nonlinear models, longitudinal data analysis, resampling techniques, ARCH models, stochastic volatility, wavelets and Monte Carlo Markov chain integration methods. These add to a classical coverage of time series regression, univariate and multivariate ARIMA models, spectral analysis and state-space models. The book is complemented by ofering accessibility, via the World Wide Web, to the data and an exploratory time series analysis program ASTSA for Windows that can be downloaded as Freeware. Robert H. Shumway is Professor of Statistics at the University of California, Davis. He is a Fellow of the American Statistical Association and a member of the Inernational Statistical Institute. He won the 1986 American Statistical Association Award for Outstanding Statistical Application and the 1992 Communicable Diseases Center Statistics Award; both awards were for joint papers on time series applications. He is the author of a previous 1988 Prentice-Hall text on applied time series analysis and is currenlty a Departmental Editor for the Journal of Forecasting. David S. Stoffer is Professor of Statistics at the University of Pittsburgh. He has made seminal contributions to the analysis of categorical time series and won the 1989 American Statistical Association Award for Outstanding Statistical Application in a joint paper analyzing categorical time series arising in infant sleep-state cycling. He is currently an Associate Editor of the Journal of Forecasting and has served as an Associate Editor for the Journal fo the American Statistical Association.
時間序列模型及其應用,包括:趨勢、平穩時間序列模型、非平穩時間序列模型、模型識彆、參數估計、模型診斷、預測、季節模型、時間序列迴歸模型、異方差時間序列模型、譜分析、譜估計、門限模型。
評分時間序列模型及其應用,包括:趨勢、平穩時間序列模型、非平穩時間序列模型、模型識彆、參數估計、模型診斷、預測、季節模型、時間序列迴歸模型、異方差時間序列模型、譜分析、譜估計、門限模型。
評分這書挺基礎的 適閤入門上手用。Examples給得很illustrative, 對應的R code也很有用,讓人一上來就知道ts建模什麼的用些啥函數。
評分這書挺基礎的 適閤入門上手用。Examples給得很illustrative, 對應的R code也很有用,讓人一上來就知道ts建模什麼的用些啥函數。
評分時間序列模型及其應用,包括:趨勢、平穩時間序列模型、非平穩時間序列模型、模型識彆、參數估計、模型診斷、預測、季節模型、時間序列迴歸模型、異方差時間序列模型、譜分析、譜估計、門限模型。
硕士期间学过时间序列分析,重点在于希尔伯特空间视角下的时间序列,需要比较强的泛函水平,学的一塌糊涂。近日因为工作愿意,需要利用时间序列分析进行一些分析建模,在quick R的主页上链接到了本书的页面,随即在互联网上下到这本书的电子版,读了一下导读和要用到的几个例子...
評分这本书简洁清晰,有充足但不多余的例子和code。对初学者合适,用作有基础的人的参考书也合适。美中不足的是3.6 estimation of ARMA parameters讲的太混乱。如果只需要对estimation算法有个概念,看analysis of financial time series 相应章节。time series初学者读这本书的话...
評分硕士期间学过时间序列分析,重点在于希尔伯特空间视角下的时间序列,需要比较强的泛函水平,学的一塌糊涂。近日因为工作愿意,需要利用时间序列分析进行一些分析建模,在quick R的主页上链接到了本书的页面,随即在互联网上下到这本书的电子版,读了一下导读和要用到的几个例子...
評分这本书简洁清晰,有充足但不多余的例子和code。对初学者合适,用作有基础的人的参考书也合适。美中不足的是3.6 estimation of ARMA parameters讲的太混乱。如果只需要对estimation算法有个概念,看analysis of financial time series 相应章节。time series初学者读这本书的话...
評分这本书简洁清晰,有充足但不多余的例子和code。对初学者合适,用作有基础的人的参考书也合适。美中不足的是3.6 estimation of ARMA parameters讲的太混乱。如果只需要对estimation算法有个概念,看analysis of financial time series 相应章节。time series初学者读这本书的话...
Time Series Analysis and Its Applications pdf epub mobi txt 電子書 下載 2024