An Introduction to Discrete-Valued Time Series

Released on by Christian H. Weiss
preview-18

  • An Introduction to Discrete-Valued Time Series Book Detail

  • Author : Christian H. Weiss
  • Release Date : 2018-02-05
  • Publisher : John Wiley & Sons
  • Genre : Mathematics
  • Pages : 300
  • ISBN 13 : 1119096960
  • File Size : 69,69 MB
DOWNLOAD BOOK

An Introduction to Discrete-Valued Time Series by Christian H. Weiss PDF Summary

Book Description: A much-needed introduction to the field of discrete-valued time series, with a focus on count-data time series Time series analysis is an essential tool in a wide array of fields, including business, economics, computer science, epidemiology, finance, manufacturing and meteorology, to name just a few. Despite growing interest in discrete-valued time series—especially those arising from counting specific objects or events at specified times—most books on time series give short shrift to that increasingly important subject area. This book seeks to rectify that state of affairs by providing a much needed introduction to discrete-valued time series, with particular focus on count-data time series. The main focus of this book is on modeling. Throughout numerous examples are provided illustrating models currently used in discrete-valued time series applications. Statistical process control, including various control charts (such as cumulative sum control charts), and performance evaluation are treated at length. Classic approaches like ARMA models and the Box-Jenkins program are also featured with the basics of these approaches summarized in an Appendix. In addition, data examples, with all relevant R code, are available on a companion website. Provides a balanced presentation of theory and practice, exploring both categorical and integer-valued series Covers common models for time series of counts as well as for categorical time series, and works out their most important stochastic properties Addresses statistical approaches for analyzing discrete-valued time series and illustrates their implementation with numerous data examples Covers classical approaches such as ARMA models, Box-Jenkins program and how to generate functions Includes dataset examples with all necessary R code provided on a companion website An Introduction to Discrete-Valued Time Series is a valuable working resource for researchers and practitioners in a broad range of fields, including statistics, data science, machine learning, and engineering. It will also be of interest to postgraduate students in statistics, mathematics and economics.

Disclaimer: www.yourbookbest.com does not own An Introduction to Discrete-Valued Time Series books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Handbook of Discrete-Valued Time Series

Handbook of Discrete-Valued Time Series

File Size : 37,37 MB
Total View : 2862 Views
DOWNLOAD

Model a Wide Range of Count Time Series Handbook of Discrete-Valued Time Series presents state-of-the-art methods for modeling time series of counts and incorpo

Advanced Time Series Data Analysis

Advanced Time Series Data Analysis

File Size : 3,3 MB
Total View : 6200 Views
DOWNLOAD

Introduces the latest developments in forecasting in advanced quantitative data analysis This book presents advanced univariate multiple regressions, which can

Wavelet Methods for Time Series Analysis

Wavelet Methods for Time Series Analysis

File Size : 54,54 MB
Total View : 2431 Views
DOWNLOAD

This introduction to wavelet analysis 'from the ground level and up', and to wavelet-based statistical analysis of time series focuses on practical discrete tim