Nghĩa của từ autocorrelation bằng Tiếng Sec
autokorelace Note: matematika, zpracování signálů Entry edited by: fikus
Đặt câu có từ "autocorrelation"
1. Spatial Autocorrelation is a particular case of Autocorrelation
2. What Is Autocorrelation? Autocorrelation is a type of serial dependence
3. Autocorrelation Let be a periodic sequence, then the Autocorrelation of the sequence, sometimes called the periodic Autocorrelation (Zwillinger 1995, p
4. Statistical Characteristics include dispersions, autocorrelation functions
5. Interpretation Use the Autocorrelation function and the partial Autocorrelation functions together to identify ARIMA models.
6. Autocorrelation plot for time series
7. Temporal Autocorrelation is also a …
8. Compute the lag-N Autocorrelation
9. Autocorrelation ; Seasonality; Stationarity; Autocorrelation: Autocorrelation is a mathematical representation of the degree of similarity between a given time series and the lagged version of itself over successive time intervals
10. The Autocorrelation at lag 3 is 0.4910
11. The Autocorrelation at lag 2 is 0.6563
12. The Autocorrelation at lag 1 is 0.8317
13. Autocorrelation (for sound signals) "Autocorrelation" is used to compare a signal with a time-delayed version of itself
14. A value between 0 and 1 represents positive Autocorrelation.
15. Autocorrelation used to determine the terms used in …
16. How to use Autocorrelation function in a sentence.
17. Number of lags to apply before performing Autocorrelation
18. Autocorrelation is an important part of time series analysis
19. A value between -1 and 0 represents negative Autocorrelation
20. Autocorrelation is a ty p e of serial dependence
21. Autocorrelation function definition is - a function that describes the Autocorrelation of a quantity being continuously measured and that indicates the periodicity of the quantity
22. Autocorrelation is the cross-correlation of a signal with itself
23. I have some issues regarding a detecting Autocorrelation using the DW test
24. In this context, Autocorrelation can help people better understand repeating events
25. In other words, Autocorrelation determines the presence of correlation between the values …
26. Figure 1.15: Autocorrelation of Dow Jones Industrial Average calculated for various lags.
27. The Autocorrelation function is a very useful tool for processing random signals
28. Auto correlation is a characteristic of data which shows the degree of similarity between the values of the same variables over successive time intervals. This post explains what Autocorrelation is, types of Autocorrelation - positive and negative Autocorrelation, as well as how to diagnose and test for auto correlation.
29. Autocorrelation, also known as serial correlation, refers to the degree of correlation of the same variables between two successive time intervals. The value of Autocorrelation ranges from -1 to 1
30. There are several Autocorrelation coefficients, corresponding to each panel in the lag plot.
31. The following plot shows a 440hz sine wave, the same sine wave "corrupted" by noise, the cyclic Autocorrelation of the noisy wave, and the double cyclic Autocorrelation: Note how the first peak of both Autocorrelation signals is located exactly at end of the first cycle of the original signal.
32. Autocorrelation is a correlogram This examines the correlations between residuals at times t and t-1, t-2, … If no Autocorrelation exists, then these should be 0, or at least have no pattern corrgram var, lags(t)creates a text correlogram of variable varfor t periods ac var, lags(t): Autocorrelation graph
33. In general, the Autocorrelation function - is nonzero but is geometrically damped for AR process.
34. Autocorrelation is used in signal processing for analyzing a series of values like time-domain signals
35. When Autocorrelation is high in a time series, it becomes easy to predict their future observations.
36. A measuring set up will be shown for measuring the autocorrelation function of the scintillation signal.
37. When the autocorrelation is used to identify an appropriate time series model, the Autocorrelations are
38. The version presented here allows for additional explanatory variables and for autocorrelation in the main and auxiliary variables.
39. In the GRETL statistical software, when you test for Autocorrelation it uses the Breusch-Godfrey test.
40. Specifically, Autocorrelation is when a time series is linearly related to a lagged version of itself
41. Specifically, Autocorrelation is when a time series is linearly related to a lagged version of itself.
42. In other words, with time-series (and sometimes panel or logitudinal) data, Autocorrelation is a concern.
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44. More generally, a lag k Autocorrelation is the correlation between values that are k time periods apart
45. 26 A train of attosecond pulses was also characterized by interferometric autocorrelation using Coulomb explosion of molecules.
46. A lag 1 Autocorrelation (i.e., k = 1 in the above) is the correlation between values that are one time period apart
47. Autocorrelation means the correlation between the observation at the current time spot and the observation at previous time spots
48. The Spatial Autocorrelation tool returns five values: the Moran's I Index, Expected Index, Variance, z-score, and p-value
49. We consider the derivation of data-dependent simultaneous Bandwidths for double kernel heteroskedasticity and autocorrelation consistent (DK-HAC) estimators.
50. Although various estimates of the sample Autocorrelation function exist, autocorr uses the form in Box, Jenkins, and Reinsel, 1994