Torrent details for "Huffaker R. Nonlinear Time Series Analysis with R 2017 [andryold1]"    Log in to bookmark

wide
Torrent details
Cover
Download
Torrent rating (0 rated)
Controls:
Category:
Language:
English English
Total Size:
30.91 MB
Info Hash:
cab91c35674adc0a7e3926a45ac1bc88f5933aa0
Added By:
Added:  
03-11-2024 14:00
Views:
77
Health:
Seeds:
9
Leechers:
8
Completed:
14
wide




Description
wide
Externally indexed torrent
If you are the original uploader, contact staff to have it moved to your account
Textbook in PDF format

Nonlinear Time Series Analysis with R provides a practical guide to emerging empirical techniques allowing practitioners to diagnose whether highly fluctuating and random appearing data are most likely driven by random or deterministic dynamic forces. It joins the chorus of voices recommending 'getting to know your data' as an essential preliminary evidentiary step in modelling. Time series are often highly fluctuating with a random appearance. Observed volatility is commonly attributed to exogenous random shocks to stable real-world systems. However, breakthroughs in nonlinear dynamics raise another possibility: highly complex dynamics can emerge endogenously from astoundingly parsimonious deterministic nonlinear models. Nonlinear Time Series Analysis (NLTS) is a collection of empirical tools designed to aid practitioners detect whether stochastic or deterministic dynamics most likely drive observed complexity. Practitioners become 'data detectives' accumulating hard empirical evidence supporting their modelling approach.
This book is targeted to professionals and graduate students in engineering and the biophysical and social sciences. Its major objectives are to help non-mathematicians–with limited knowledge of nonlinear dynamics–to become operational in NLTS and in this way to pave the way for NLTS to be adopted in the conventional empirical toolbox and core coursework of the targeted disciplines. Consistent with modern trends in university instruction, the book makes readers active learners with hands-on computer experiments in R code directing them through NLTS methods and helping them understand the underlying logic. The computer code is explained in detail so that readers can adjust it for use in their own work. The book also provides readers with an explicit framework–condensed from sound empirical practices recommended in the literature–that details a step-by-step procedure for applying NLTS in real-world data diagnostics

  User comments    Sort newest first

No comments have been posted yet.



Post anonymous comment
  • Comments need intelligible text (not only emojis or meaningless drivel).
  • No upload requests, visit the forum or message the uploader for this.
  • Use common sense and try to stay on topic.

  • :) :( :D :P :-) B) 8o :? 8) ;) :-* :-( :| O:-D Party Pirates Yuk Facepalm :-@ :o) Pacman Shit Alien eyes Ass Warn Help Bad Love Joystick Boom Eggplant Floppy TV Ghost Note Msg


    CAPTCHA Image 

    Anonymous comments have a moderation delay and show up after 15 minutes