Add to ORKGWe consider the prediction of Solar cycles from the sunspot numbers (yearly averages and extreme values) based on an AR model. We focus on a time series of annual maximum sunspot numbers, and we also consider the estimation of a probability distribution function and the prediction of the annual maximum data
AbstractThe 11 year sunspot number cycle has been a fascinating phenomenon for many scientists in th...
The research work done in this paper comprises the application of different well-known probability d...
Sunspot numbers in the current solar cycle 23 were estimated by using a statistical model with the a...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 2001.Includes bibliogr...
Abstract In the present study, a prominent 11-year cycle, supported by the pattern of the autocorrel...
Context. Generally, there are two procedures for solar cycle predictions: the empirical methods – s...
International audiencePrediction of solar activity strength for solar cycles 23 and 24 is performed ...
In this work we predict the maximum amplitude, its time of occurrence, and the total length of Solar...
Researchers in many fields share a deep interest in the sunspot activity of the Sun. This kind of sol...
An empirical method is developed to predict certain parameters of future solar activity cycles. Suns...
We analyze the monthly sunspot number (SSN) data from January 1749 to June 2013. We use the Average ...
We use a model for sunspot number using low-frequency solar oscillations, with periods 22, 53, 88, 1...
International audienceSunspot numbers WN display quasi-periodical variations that undergo regime cha...
Sunspot numbers WN display quasi-periodical variations that undergo regime changes. These irregulari...
Modelling and prediction of sunspot number time series is an unavoidable activity in the space objec...
AbstractThe 11 year sunspot number cycle has been a fascinating phenomenon for many scientists in th...
The research work done in this paper comprises the application of different well-known probability d...
Sunspot numbers in the current solar cycle 23 were estimated by using a statistical model with the a...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 2001.Includes bibliogr...
Abstract In the present study, a prominent 11-year cycle, supported by the pattern of the autocorrel...
Context. Generally, there are two procedures for solar cycle predictions: the empirical methods – s...
International audiencePrediction of solar activity strength for solar cycles 23 and 24 is performed ...
In this work we predict the maximum amplitude, its time of occurrence, and the total length of Solar...
Researchers in many fields share a deep interest in the sunspot activity of the Sun. This kind of sol...
An empirical method is developed to predict certain parameters of future solar activity cycles. Suns...
We analyze the monthly sunspot number (SSN) data from January 1749 to June 2013. We use the Average ...
We use a model for sunspot number using low-frequency solar oscillations, with periods 22, 53, 88, 1...
International audienceSunspot numbers WN display quasi-periodical variations that undergo regime cha...
Sunspot numbers WN display quasi-periodical variations that undergo regime changes. These irregulari...
Modelling and prediction of sunspot number time series is an unavoidable activity in the space objec...
AbstractThe 11 year sunspot number cycle has been a fascinating phenomenon for many scientists in th...
The research work done in this paper comprises the application of different well-known probability d...
Sunspot numbers in the current solar cycle 23 were estimated by using a statistical model with the a...