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Erschienen in:
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2017 | OriginalPaper | Buchkapitel

3. Statistical Trend Tests

verfasst von : Zekâi Şen

Erschienen in: Innovative Trend Methodologies in Science and Engineering

Verlag: Springer International Publishing

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Abstract

There are various classically established trend identification tests in the literature and their preliminary explanations are useful for further and innovative trend proposal understandings. In general these methodologies are divided into two groups as parametric and non-parametric approaches. Each group is explained with its proper assumptions, restrictions and mathematical formulations so as to give the reader appreciation of the fundamental concepts, which are useful in the assessment of any trend identification procedure. The regression analysis, which is the first main methodology for the description of the mathematical expression of any trend, is presented with a set of restrictive assumption exposition that are not taken into consideration in many publications throughout the world. It is recommended that in the application of any methodology the researcher should be aware of the assumptions, restrictions and difficulties that may be confronted in the trend identification application researches.

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Vorheriges Kapitel Uncertainty and Time Series
Nächstes Kapitel Temporal Trend Analysis
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Metadaten
Titel
Statistical Trend Tests
verfasst von
Zekâi Şen
Copyright-Jahr
2017
Buch
Innovative Trend Methodologies in Science and Engineering

Print ISBN: 978-3-319-52337-8

Electronic ISBN: 978-3-319-52338-5

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-52338-5_3