Time Series and Dynamic Systems

Scott A. Pardo
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Scott A. Pardo: Ascensia Diabetes Care, Global Medical & Clinical Affairs

Chapter Chapter 19 in Beyond the T-Test, 2025, pp 195-208 from Springer

Abstract: Abstract Sometimes when data are observed over time, the value at time t actually affects the value observed at time t + 1, or even time t + k, k > 1. Such data are said to be autocorrelated. Special methods, referred to as time series analyses, have been developed to analyze autocorrelated data.

Date: 2025
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DOI: 10.1007/978-3-031-84479-9_19

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