Introduction to State Space Time Series Analysis 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Siem Jan Koopman 作者

OUP Oxford

译者

2007-7-17 出版日期

190 页数

GBP 48.49 价格

Hardcover

丛书系列

9780199228874 图书编码

Introduction to State Space Time Series Analysis 在线电子书图书标签: Time_Series 状态空间时间序列 state space Statistics NLP文庫 Econometrics

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Introduction to State Space Time Series Analysis 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Introduction to State Space Time Series Analysis 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

Introduction to State Space Time Series Analysis 在线电子书用户评价

评分☆☆☆☆☆

Nice nontechnical introduction. It's enjoyable to go through the complete analysis of several data sets step by step. Most results can be replicated by using dlm package in R.

评分☆☆☆☆☆

术语、概念和技术处理的内涵并没有讲述清楚，内容过于单薄，总的来说过于蜻蜓点水了；不值一读~~~

评分☆☆☆☆☆

术语、概念和技术处理的内涵并没有讲述清楚，内容过于单薄，总的来说过于蜻蜓点水了；不值一读~~~

评分☆☆☆☆☆

SS是现代TS研究的WORKHORSE，具有极强的兼容性和处理上的便捷……

评分☆☆☆☆☆

SS是现代TS研究的WORKHORSE，具有极强的兼容性和处理上的便捷……

Introduction to State Space Time Series Analysis 在线电子书著者简介

Introduction to State Space Time Series Analysis 在线电子书图书目录

Introduction to State Space Time Series Analysis 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Introduction to State Space Time Series Analysis 在线电子书图书描述

Providing a practical introduction to state space methods as applied to unobserved components time series models, also known as structural time series models, this book introduces time series analysis using state space methodology to readers who are neither familiar with time series analysis, nor with state space methods. The only background required in order to understand the material presented in the book is a basic knowledge of classical linear regression models, of which a brief review is provided to refresh the reader's knowledge. Also, a few sections assume familiarity with matrix algebra, however, these sections may be skipped without losing the flow of the exposition. The book offers a step by step approach to the analysis of the salient features in time series such as the trend, seasonal, and irregular components. Practical problems such as forecasting and missing values are treated in some detail. This useful book will appeal to practitioners and researchers who use time series on a daily basis in areas such as the social sciences, quantitative history, biology and medicine. It also serves as an accompanying textbook for a basic time series course in econometrics and statistics, typically at an advanced undergraduate level or graduate level.

Introduction to State Space Time Series Analysis 在线电子书下载 mobi epub pdf txt 在线电子书下载

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