simulation

问题 i have about 20,000 rows of data like this,, Id | value 1 30 2 3 3 22 .. n 27 I did statistics to my data,, the average value 33.85, median 30.99, min 2.8, max 206, 95% confidence interval 0.21.. So most values around 33, and there are some outliers (a little).. So it seems like a distribution with long tail. I am new to both distribution and python,, i tried class fitter https://pypi.org/project/fitter/ to try many distribution from Scipy package,, and loglaplace distribution showed the

问题 Setting a seed ensures reproducibility and is important in simulation modelling. Consider a simple model f() with two variables y1 and y2 of interest. The outputs of these variables are determined by a random process ( rbinom() ) and the parameters x1 and x2 . The outputs of the two variables of interest are independent of each other. Now say we want to compare the change in the output of a variable after a change in the respective parameter has occurred with a scenario before the change was

问题 Setting a seed ensures reproducibility and is important in simulation modelling. Consider a simple model f() with two variables y1 and y2 of interest. The outputs of these variables are determined by a random process ( rbinom() ) and the parameters x1 and x2 . The outputs of the two variables of interest are independent of each other. Now say we want to compare the change in the output of a variable after a change in the respective parameter has occurred with a scenario before the change was

问题 Setting a seed ensures reproducibility and is important in simulation modelling. Consider a simple model f() with two variables y1 and y2 of interest. The outputs of these variables are determined by a random process ( rbinom() ) and the parameters x1 and x2 . The outputs of the two variables of interest are independent of each other. Now say we want to compare the change in the output of a variable after a change in the respective parameter has occurred with a scenario before the change was

问题 when i use a<-rt(10,3) and b <-rnorm(10,3 )+5 trying to get shifted to the right numbers in order to calculate power of the two sample t-test. I get wrong results. There is a lot of literature on the internet talking about the use of the noncentrality parameter to get shifted numbers in order to be able to calculate power. My question how to use noncentrality parameter to get an amount of shifting equal to 5. If I am wrong and that the only method to get shifted numbers from the t

问题 when i use a<-rt(10,3) and b <-rnorm(10,3 )+5 trying to get shifted to the right numbers in order to calculate power of the two sample t-test. I get wrong results. There is a lot of literature on the internet talking about the use of the noncentrality parameter to get shifted numbers in order to be able to calculate power. My question how to use noncentrality parameter to get an amount of shifting equal to 5. If I am wrong and that the only method to get shifted numbers from the t

问题 I've been looking for a solution to convert cartesian coordinates (lat, long) that I have to polar coordinates in order to facilitate a simulation that I want to run, but I haven't found any questions or answers here for doing this in R. There are a number of options, including the built in function cart2pol in Matlab, but all of my data are in R and I'd like to continue getting comfortable working in this framework. Question: I have lat/long coordinates from tagging data, and I want to

问题 I've been looking for a solution to convert cartesian coordinates (lat, long) that I have to polar coordinates in order to facilitate a simulation that I want to run, but I haven't found any questions or answers here for doing this in R. There are a number of options, including the built in function cart2pol in Matlab, but all of my data are in R and I'd like to continue getting comfortable working in this framework. Question: I have lat/long coordinates from tagging data, and I want to

来源： https://stackoverflow.com/questions/63601294/i-want-to-plot-the-size-of-a-test-for-example-t-test-vs-the-sample-size-how

问题 I want to encrypt the messages that are exchanged between sensor nodes. Can I do it without having access to real hardware sensor nodes, such as Tmote Sky? Can software encryption/block ciphers only be simulated on Tmote Sky nodes? If I need to use hardware encryption algorithms, then should I have a real sensor node? Also, I read that for symmetric encryption one must have real sensor nodes, but asymmetric encryption can work with emulated nodes as well? Any documentation or description