Interested to Buy Any Domain ? << Click Here >> for more details...
What is a white noise model and how can you simulate it using r?
- 1 Answers
- 111 Views
- I also Faced
- E-Mail Answers
Answer / Shashank Shukla
A white noise model represents random fluctuations without any discernible pattern. In the context of time series analysis, it is often used as an error term in various models. To simulate white noise data in R, you can use the `arima.sim()` function with no specific parameters:nn```Rn set.seed(123)n white_noise <- arima.sim(n = 100, sd = 1)n```
| Is This Answer Correct ? | 0 Yes | 0 No |
What is meant by ANOVA models in R?
What is the difference between a bar-chart and a histogram? Where would you use a bar-chart and where would you use a histogram?
What is the byte in R?
What are the different components of grammar of graphics?
How would you create a new r6 class?
Mention how you can produce co-relations and covariances?
Explain how to name the list elements in r?
Explain bor function?
Explain the significance of transpose in r language
What is with () and by () function in r is used for?
How would you fit a linear model over a scatter-plot?
What is the random walk model in r?
C 
