This study examines the application of Chi-Square test in time series data which considers mixed model structure and linear trending curve. The is applied to seasonal variances Buys-Ballot table. emphasis assess validity using empirical examples. One hundred simulated numerical examples are used illustrate applicability test. Using example, successfully recorded 100% times for model. expresses ...

In this paper, we present a novel framework for enriching time series data in smart cities by supplementing it with information from external sources via semantic enrichment. Our methodology effectively merges multiple into uniform series, while addressing difficulties such as quality, contextual information, and lapses. We demonstrate the efficacy of our method through case study Barcelona, wh...

We explain the proliferation of panel data studies in terms of (i) data availability, (ii) the more heightened capacity for modeling the complexity of human behavior than a single cross-section or time series data can possibly allow, and (iii) challenging methodology. Advantages and issues of panel data modeling are also discussed.

In this paper we develop a framework for the support of temporal data. The concept of a time sequence is introduced, and shown to be an important fundamental concept for representing the semantics of temporal data and for efficient physical organization. We discuss properties of time sequences that allow the treatment of such sequences in a uniform fashion. These properties are exploited in ord...