Adaptation
Adaptation
Adaptation
natural selection
Adaptation
Adaptation
natural selection
Expalain the difference between cyclical and seasonal variations in a data series?
Another name for the method of continuous variations is the method of infinite series.
According to the theory of evolution, it works like this: Every once in a while, an organism develops (having genes slightly different from its parents) that's different from its parents. If that difference is helpful to the survival of that organism or its children, which is very unusual, then that organism is likely to have more surviving offspring than others. It is said to be favored for survival. Over the course of many generations, we assume that the variation that increases surviving offspring will come to be the dominant (regular) characteristic in the population. Remember: evolution only happens to populations, not to individuals (except in fiction).
Yes, cycles and random variations are components of time series data. Cycles refer to regular, repeating patterns in the data over time, while random variations are unpredictable fluctuations that do not follow a specific pattern. These components can affect the overall trend and seasonality of a time series.
The irregular, unsystematic and unpredictable variations caused by some unusual events such as floods, strikes, wars, earthquakes and fires etc. are called residual variations. these variations are also known as accidental, irregular or erratic variations.
Cyclical variation : cyclical variations are recurrent variations in a time series usually last longer than a year. Most of the time series in business and Economics show such cyclical variation. A business cycle has four wheel defined periods : prosperity, decline, depression and improvement.