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15 Απρ 2003 · Time-series analysis is a statistical method of analyzing data from repeated observations on a single unit or individual at regular intervals over a large number of observations. Time-series...
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8 Ιουν 2015 · Mindful of the growing need to contribute to the methodological toolkit of psychological researchers, the present article introduces the use of time series analysis in order to describe and understand the dynamics of psychological change over time.
30 Νοε 2016 · The purpose of this article is to briefly discuss the importance of time-series methods in experimental research and to acquaint the reader with some statistical techniques that are easily accessible and can be employed when testing hypotheses with time-series data.
6 Νοε 2019 · Section 1 discusses analyzing multivariate and fuzzy time series; Section 2 focuses on developing deep neural networks for time series forecasting and classification; and Section 3 describes...
General Summary. Detailed Summary. Key Terms. Review Questions/Exercises Introduction to Single-Subject Designs. A three-year old boy diagnosed with autism shows characteristic language deficits. His level of spontaneous speech is equivalent to what is expected of a boy less than two years old.
This chapter deals with time domain statistical models and methods on analyzing time series and their use in applications. It covers fundamental concepts, stationary and nonstationary models, nonseasonal and seasonal models, intervention and outlier models, transfer function models, regression time series models, vector time series models, and ...
This chapter discusses time series analysis as it is commonly employed in psychological research detailing both the past history and future directions of the technique. The chapter is divided into eight sections that carry the reader from the theoretical underpinnings of the methodology through applied examples of time series applications to ...
