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Seasonal adjustment or deseasonalization is a statistical method for removing the seasonal component of a time series.It is usually done when wanting to analyse the trend, and cyclical deviations from trend, of a time series independently of the seasonal components.
In time series data, seasonality refers to the trends that occur at specific regular intervals less than a year, such as weekly, monthly, or quarterly. Seasonality may be caused by various factors, such as weather, vacation, and holidays [1] and consists of periodic, repetitive, and generally regular and predictable patterns in the levels [2] of a time series.
X-13ARIMA-SEATS, successor to X-12-ARIMA and X-11, is a set of statistical methods for seasonal adjustment and other descriptive analysis of time series data that are implemented in the U.S. Census Bureau's software package. [3]
The seasonally adjusted annual rate (SAAR) is a rate that is adjusted to take into account typical seasonal fluctuations in data and is expressed as an annual total. SAARs are used for data affected by seasonality , when it could be misleading to directly compare different times of the year.
This list may not reflect recent changes. ... Seasonally adjusted annual rate This page was last edited on 25 October 2020, at 15:57 (UTC). ...
This glossary of biology terms is a list of definitions of fundamental terms and concepts used in biology, the study of life and of living organisms.It is intended as introductory material for novices; for more specific and technical definitions from sub-disciplines and related fields, see Glossary of cell biology, Glossary of genetics, Glossary of evolutionary biology, Glossary of ecology ...
With 89 days to go until Christmas, stores of all sizes are ramping up for the holidays by announcing their seasonal employee hiring plans. See: 11 Grocery Items To Buy at Dollar TreeFind: 22 Side...
The word is derived from the Greek φαίνω (phainō), "to show, to bring to light, make to appear" [6] + λόγος (), amongst others "study, discourse, reasoning" [7] and indicates that phenology has been principally concerned with the dates of first occurrence of biological events in their annual cycle.