1927
DOI: 10.1098/rsta.1927.0007
|View full text |Cite
|
Sign up to set email alerts
|

VII. On a method of investigating periodicities disturbed series, with special reference to Wolfer's sunspot numbers

Abstract: VII. On a Method o f Investigating Periodicities Disturbed Series, ivith reference to W o l f e d sS unspot Numbers.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
174
0
3

Year Published

1985
1985
2014
2014

Publication Types

Select...
5
4

Relationship

0
9

Authors

Journals

citations
Cited by 998 publications
(177 citation statements)
references
References 0 publications
0
174
0
3
Order By: Relevance
“…Econometrics has a long tradition of giving inspiration to time series and difference equation modeling and its roots coincide with developments in statistics. The work on time series dates back to Jevons (1884), Yule (1927), and Wold (1938). The classic paper Mann and Wald (1943) developed the asymptotic theory for the LS estimator for stochastic linear difference equations (AR systems).…”
Section: Econometrics and Time Series Analysismentioning
confidence: 99%
“…Econometrics has a long tradition of giving inspiration to time series and difference equation modeling and its roots coincide with developments in statistics. The work on time series dates back to Jevons (1884), Yule (1927), and Wold (1938). The classic paper Mann and Wald (1943) developed the asymptotic theory for the LS estimator for stochastic linear difference equations (AR systems).…”
Section: Econometrics and Time Series Analysismentioning
confidence: 99%
“…Models which use the information from only the past system outputs are called all-pole or autoregressive models, and were first used by Yule [37] in an investigation of sunspot numbers. In Linear Prediction the objective is to predict or estimate the future output of a system based on the past output observations.…”
Section: Linear Predictionmentioning
confidence: 99%
“…It is well-known that a pure sinusoidal function can be represented as a second-order AR time series [see e.g. Yule, 1927]. In fact, it can be shown that a linear combination of K complex sinusoids (with exponentially decaying or growing amplitudes) can be expressed as a 2Kth order AR time series, and the K complex periods are related to the 2K (real) AR coefficients through the Prony's relation [for details see Chao & Gilbert, 1980;Chao, 1984].…”
Section: Autoregressive (Ar) Predictormentioning
confidence: 99%
“…However, the Earth's meteorological transfer function being intricate and non-linear, it is only natural that the annual wobble thereby generated will have an amplitude that varies from year to year and a period that fluctuates about the driving period 365.25 days. the "disturbed pendulum" model of Yule [ 1927]; for the modulating effects of multiple periods on the instantaneous period and amplitude of the polar motion, see Chao [1983]. )…”
Section: Model Identificationmentioning
confidence: 99%