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OverviewIn this research investigation, keeping in view the limitations of Time Series Analysis, a new and novel Forecasting Scheme For Time Series Sequence is Developed by the author. For establishing this scheme, firstly a Novel concept Of Higher Order Sequences Of Primes is introduced by the author. This novel Scheme exploits the spacing between the elements of the Higher Order Sequences Of Primes and standard existing notion of Correlations Analysis (as used in the Time Series Analysis scheme), with minor modifications to them, for forecasting the term of the considered Time Series Sequence. The major axiomatical assumption made by the author in developing this method of Forecasting Analysis is that Natural Systems that Evolve along Time, Evolve in a fashion as dictated by the Evolution of Sequences Of Primes and Sequences Of Higher Order Primes or the linear (or non-linear*) functions of them. Non-Linear functions of the same are not necessary as long as we consider Linear Functions of the same to very high length of the aforementioned Sequences. Finally, the given Sequence along with its Forecasted Value is Reversed and we use author's Forecasting Model to predict the last value of this Reversed Sequence (i.e., which is the First Value of the given Sequence), by deliberately omitting it for prediction purposes. This gives us the Error, if any. In Forecasting Science, the most popular method currently in use is Time Series Analysis. The application of Time Series Analysis method is a very lengthy and circuitous and is also not always infallible. To make amends to this end, the author has developed a totally new and novel Forecasting Scheme based on the principles of interspacing of the elements of the Sequence of Prime Numbers, Higher Order Sequences Of Prime Numbers and Askew Primes that are also coined by the author. Full Product DetailsAuthor: Ramesh Chandra BagadiPublisher: Independently Published Imprint: Independently Published Volume: 16 Dimensions: Width: 15.20cm , Height: 0.70cm , Length: 22.90cm Weight: 0.181kg ISBN: 9781708275761ISBN 10: 1708275762 Pages: 116 Publication Date: 02 February 2020 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In stock We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |