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Time-Series Analysis A Comprehensive Introduction for Social Scientists [Paperback]

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  • Category: Books (Mathematics)
  • Author:  Gottman, John M.
  • Author:  Gottman, John M.
  • ISBN-10:  0521103363
  • ISBN-10:  0521103363
  • ISBN-13:  9780521103367
  • ISBN-13:  9780521103367
  • Publisher:  Cambridge University Press
  • Publisher:  Cambridge University Press
  • Pages:  420
  • Pages:  420
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-May-2009
  • Pub Date:  01-May-2009
  • SKU:  0521103363-11-MPOD
  • SKU:  0521103363-11-MPOD
  • Item ID: 100927085
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jul 06 to Jul 08
  • Notes: Brand New Book. Order Now.
This book is a comprehensive introduction to all the major time-series techniques, both time-domain and frequency-domain.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 and provides throughout, easy-to-understand, fully worked examples drawn from real studies in psychology and sociology.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 and provides throughout, easy-to-understand, fully worked examples drawn from real studies in psychology and sociology.Since 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 comprol£‰
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