{"id":3476,"date":"2019-02-08T08:45:09","date_gmt":"2019-02-08T01:45:09","guid":{"rendered":"http:\/\/stang.sc.mahidol.ac.th\/newresources\/?p=3476"},"modified":"2019-02-07T10:51:57","modified_gmt":"2019-02-07T03:51:57","slug":"nonlinear-time-series-analysis-with-r","status":"publish","type":"post","link":"https:\/\/stang.sc.mahidol.ac.th\/newresources\/?p=3476","title":{"rendered":"Nonlinear time series analysis with R"},"content":{"rendered":"<p><a href=\"http:\/\/mulinet1.li.mahidol.ac.th\/record=b1483355a\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-3395 alignleft\" src=\"http:\/\/stang.sc.mahidol.ac.th\/newresources\/wp-content\/uploads\/2019\/02\/66088-207x300.jpg\" alt=\"\" width=\"207\" height=\"300\" \/><\/a><\/p>\n<p><strong>AUTHOR<\/strong>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0Huffaker, Ray G.<\/p>\n<p><strong>CALL NO<\/strong>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0QA280 H889n 2017<\/p>\n<p><strong>IMPRINT<\/strong>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Oxford : Oxford University Press, c2017<!--more--><\/p>\n<p>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 &#8216;getting to know your data&#8217; 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 &#8216;data detectives&#8217; accumulating hard empirical evidence supporting their modelling approach.<\/p>\n<p>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\u2014with limited knowledge of nonlinear dynamics\u2014to 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\u2014condensed from sound empirical practices recommended in the literature\u2014that details a step-by-step procedure for applying NLTS in real-world data diagnostics.<\/p>\n<p>Source :\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <a href=\"https:\/\/global.oup.com\/academic\/product\/nonlinear-time-series-analysis-with-r-9780198782933?cc=th&amp;lang=en&amp;#\" target=\"_blank\" rel=\"noopener\">https:\/\/global.oup.com\/academic\/product\/nonlinear-time-series-analysis-with-r-9780198782933?cc=th&amp;lang=en&amp;#<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>AUTHOR\u00a0 \u00a0 \u00a0 \u00a0 \u00a0Huffaker, Ray G. CALL NO\u00a0 \u00a0 \u00a0 \u00a0 \u00a0QA280 H889n 2017 IMPRINT\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Oxford : Oxford University Press, c2017<\/p>\n","protected":false},"author":1,"featured_media":3395,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[1024,1023,985],"class_list":["post-3476","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-new-book-releases","tag-computer-program-language","tag-nonlinear-theories","tag-time-series-analysis"],"_links":{"self":[{"href":"https:\/\/stang.sc.mahidol.ac.th\/newresources\/index.php?rest_route=\/wp\/v2\/posts\/3476","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stang.sc.mahidol.ac.th\/newresources\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/stang.sc.mahidol.ac.th\/newresources\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/stang.sc.mahidol.ac.th\/newresources\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/stang.sc.mahidol.ac.th\/newresources\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3476"}],"version-history":[{"count":1,"href":"https:\/\/stang.sc.mahidol.ac.th\/newresources\/index.php?rest_route=\/wp\/v2\/posts\/3476\/revisions"}],"predecessor-version":[{"id":3482,"href":"https:\/\/stang.sc.mahidol.ac.th\/newresources\/index.php?rest_route=\/wp\/v2\/posts\/3476\/revisions\/3482"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/stang.sc.mahidol.ac.th\/newresources\/index.php?rest_route=\/wp\/v2\/media\/3395"}],"wp:attachment":[{"href":"https:\/\/stang.sc.mahidol.ac.th\/newresources\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3476"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/stang.sc.mahidol.ac.th\/newresources\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3476"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/stang.sc.mahidol.ac.th\/newresources\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3476"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}