An Introduction to Discrete-Valued Time Series

An Introduction to Discrete-Valued Time Series

By Christian H. Weiss

  • Category: Mathematics, Books, Science & Nature
  • Type: ebook
  • Release Date: 2017-12-06
  • File Size: 17.38MB
  • Developer: Christian H. Weiss
  • App Ratings: 0/5 (0 App Reviews)
  • Price: $69.99
DOWNLOAD READ ONLINE

The file download will begin after you complete the registration. Downloader's Terms of Service | DMCA

An Introduction to Discrete-Valued Time Series Details

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.

Reviews

  • 5
    By Conan B
    Finally I get this ebook, thanks for all these An Introduction to Discrete-Valued Time Series I can get now!
  • 4
    By Jerri U
    My friends are so mad that they do not know how I have all the high quality ebook which they do not!
  • 3
    By Morse J
    An Introduction to Discrete-Valued Time Series was the best books I ever buy. An Introduction to Discrete-Valued Time Series did exactly what you said it does.
  • 4
    By Sybil E
    I would like to personally thank you for your outstanding books. It's really wonderful.
  • 3
    By Dewey K
    I will recommend you to my colleagues. An Introduction to Discrete-Valued Time Series is the most valuable books we have EVER purchased. I'd be lost without this. I am completely blown away.
  • 3
    By Yoshi A
    hahahahaha
  • 1
    By Ivett L
    wtffff i do not understand this!