Expalain the difference between cyclical and seasonal variations in a data series?
The Secular trends, Seasonal variations, and Cyclical Fluctuations are all components of the Time Series. Following are some of their distinguishing features. Secular trends are the part of time series which show the overall tendency of the data over a longer period of time e.g. growth of population in a particular area over a certain period of time. Seasonal variations are periodic and regular data changes within a year. The sales of garments are a good example of seasonal variations which see every a regular change in the type of garments that are being sold every season. Cyclical fluctuations typically lasting for more than a year are best represented by a business cycle which goes through a number phases of prosperity, decline, depression, and regain. As opposed to seasonal variations, they don't have regular periodicity and each phase can be of it's own length.
secular trend, seasonal variation, cyclical variation, and irregular variation
Deseasonalization of data refers to the process of removing seasonal effects from a time series to reveal underlying trends and patterns. This is typically done by calculating and subtracting seasonal averages or indices from the original data, allowing for a clearer analysis of non-seasonal components. By deseasonalizing data, analysts can better understand the true behavior of the data over time, making it easier to forecast future values without the influence of seasonal fluctuations.
Births are not distributed randomly across the year: there are seasonal variations as well as differences between days of the week. Where maternity staff like to celebrate New Year's Eve, there may be fewer people on duty on January 1 and so there may well be fewer births. Unfortunately, comprehensive information on such variations is not available. If you assume that each day of the year is equally likely, the probability is 1/365. Adjusting for leap years changes that to 1/365.25. Further adjusting for Centuries gives 1/365.2425
It could be seasonal (like more people in the winter), so any equations used to describe the level of absenteeism could be in terms of time through the year; in short, maybe.
The Secular trends, Seasonal variations, and Cyclical Fluctuations are all components of the Time Series. Following are some of their distinguishing features. Secular trends are the part of time series which show the overall tendency of the data over a longer period of time e.g. growth of population in a particular area over a certain period of time. Seasonal variations are periodic and regular data changes within a year. The sales of garments are a good example of seasonal variations which see every a regular change in the type of garments that are being sold every season. Cyclical fluctuations typically lasting for more than a year are best represented by a business cycle which goes through a number phases of prosperity, decline, depression, and regain. As opposed to seasonal variations, they don't have regular periodicity and each phase can be of it's own length.
seasons change very three months but cycles change rate vary from one to five years
The four types of unemployment are frictional (temporary job transitions), structural (mismatch of skills and job openings), cyclical (due to economic downturns), and seasonal (due to seasonal variations in demand).
cyclical variation: Piece to piece variation. Often used to describe a repeating pattern, such as a seasonal variation in sales that peaks before Christmas.
terminal
Terminal does not belong as it refers to the end, while the other words are related to a recurring or regular pattern or cycle.
d. cyclical
termina
what is the seasonal variation for amazon rainforest
secular trend, seasonal variation, cyclical variation, and irregular variation
a cyclical or seasonal movement of people and livestock along routes traveled repeatedly
Temperate