{"product_id":"time-series-analysis-a-comprehensive-introduction-for-social-scientists-paperback-9780521103367","title":"Time-Series Analysis; A Comprehensive Introduction for Social Scientists (Paperback \/ softback) 9780521103367","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eTime-Series Analysis\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eA Comprehensive Introduction for Social Scientists\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003eThis book is a comprehensive introduction to all the major time-series techniques, both time-domain and frequency-domain.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eJohn M. Gottman (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780521103367, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 19 March 2009\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e420 pages\u003cbr\u003e22.9 x 15.2 x 2.4 cm, 0.61 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eSince the 1970s social scientists and scientists in a variety of fields - psychology, sociology, education, psychiatry, economics and engineering - have been interested in problems that require the statistical analysis of data over time and there has been in effect a conceptual revolution in ways of thinking about pattern and regularity. This book is a comprehensive introduction to all the major time-series techniques, both time-domain and frequency-domain. It includes work on linear models that simplify the solution of univariate and multivariate problems. The author begins with a non-mathematical overview: throughout, he provides easy-to-understand, fully worked examples drawn from real studies in psychology and sociology. Other, less comprehensive, books on time-series analysis require calculus: this presupposes only a standard introductory statistics course covering analysis of variance and regression. The chapters are short, designed to build concepts (and the reader's confidence) one step at a time. Many illustrations aid visual, intuitive understanding. Without compromising mathematical rigour, the author keeps in mind the reader who does no have an easy time with mathematics: the result is a readily accessible and practical text.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePreface\u003cbr\u003e Part I. Overview: 1. The search for hidden structures\u003cbr\u003e 2. The ubiquitous cycles\u003cbr\u003e 3. How Slutzky created order from chaos\u003cbr\u003e 4 Forecasting: Yule's autoregressive models\u003cbr\u003e 5. Into the black box with white light\u003cbr\u003e 6. Experimentation and change\u003cbr\u003e Part II. Time-series models: 7. Models and the problem of correlated data\u003cbr\u003e 8. An introduction to time-series models: stationarity\u003cbr\u003e 9. What if the data are not stationary?\u003cbr\u003e Part III. Deterministic and nondeterministic components: 10. Moving-average models\u003cbr\u003e 11. Autoregressive models\u003cbr\u003e 12. The complex behaviour of the second-order autoregressive process\u003cbr\u003e 13. The partial autocorrelation function: completing the duality\u003cbr\u003e 14. The duality of MA and AR processes\u003cbr\u003e Part IV. Stationary frequency-domain models: 15. The spectral density function\u003cbr\u003e 16. The periodogram\u003cbr\u003e 17. Spectral windows and window carpentry\u003cbr\u003e 18. Explanation of the Slutzky effect\u003cbr\u003e Part V. Estimation in the time domain: 19. AR model fitting and estimation\u003cbr\u003e 20. Box-Jenkins model fitting: the ARIMA models\u003cbr\u003e 21. Forecasting\u003cbr\u003e 22. Model fitting: worked example\u003cbr\u003e Part VI. Bivariate time-series analysis: 23. Bivariate frequency-domain analysis\u003cbr\u003e 24. Bivariate frequency example: mother-infant play\u003cbr\u003e 25. Bivariate time-domain analysis\u003cbr\u003e Part VII. Other Techniques: 26. The interrupted time-series experiment\u003cbr\u003e 27. Multivariate approaches\u003cbr\u003e Notes\u003cbr\u003e References\u003cbr\u003e Index.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Probability \u0026amp; statistics [\u003ca title=\"See our other books on Probability \u0026amp; statistics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Probability%20\u0026amp;%20statistics%20%5BPBT%5D%22\"\u003ePBT\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":46006407692568,"sku":"9780521103367","price":47.39,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780521103367i_d1fac408-c0e2-4d0e-8379-183d147b9461.jpg?v=1694970887","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/time-series-analysis-a-comprehensive-introduction-for-social-scientists-paperback-9780521103367","provider":"Freshly Printed Books","version":"1.0","type":"link"}