Hi, If we take a table Table1 ={0.0588235, 0.0491358, 0.0035403, 0.0432735, 0.026303, 0.0202264, 0.0448407, 0.00615208, 0.0519149, 0.00287303, 0.0466974, 0.0152923, 0.036656, 0.0224011, 0.0313708, 0.0256386, 0.0297211, 0.0256386, 0.0313708, 0.0224011, 0.036656, 0.0152923, 0.0466974, 0.00287303, 0.0519149, 0.00615208, 0.0448407, 0.0202264, 0.026303, 0.0432735, 0.0035403, 0.0491358, 0.0588235}. Note that it is symmetric about 0.0297211. Applyin FindDistribution[Table1] we get a uniform distribution UniformDistribution[{-0.079215, 0.143696}] However, for Table 1, the parameter can not be negative ..read more

&[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/nikm/Published/PhaseSpace-01.nb ..read more

Hi, I tried to evaluate the Nakagami and Gamma distributions for monthly wind speed data. Which distribution is better? How to show two distributions in one plot for comparison. I appreciate your support and time. Alex data = {9.9`, 9.`, 12.7`, 13.3`, 11.3`, 10.`, 9.8`, 8.8`, 8.`, 7.4`, 6.8`, 6.8`, 7.1`, 9.4`, 8.4`, 10.`, 15.2`, 11.2`, 9.3`, 9.7`, 8.8`, 8.4`, 6.2`, 7.9`, 7.4`, 8.9`, 10.5`, 9.5`, 9.3`, 11.5`, 7.1`, 8.9`, 6.5`, 5.4`, 7.1`, 7.6`, 8.8`, 10.2`, 14.7`, 11.9`, 9.9`, 9.8`, 10.8`, 10.2`, 8.6`, 8.9`, 8.5`, 8.7`, 8.3`, 10.`, 9.`, 10.5`, 10.2`, 11.5`, 9.6`, 9.9`, 7.8`, 6.8`, 7.3`, 5.7`, 7 ..read more

Hello there! I am trying to get data from FlightData to perform analysis on for a project for college! I am getting as far as getting the info, but I am not sure the best way to get everything into a format or a dataframe that would make this easily analyzable. I am familiar with R, but newer to Wolfram... arrivalDelaysRaw = FlightData[ Entity["Airport", "MEM"] -> Entity["Airport", "LGA"], {"ArrivalDelay"}, {DateObject[{2023, 1, 1}], DateObject[{2023, 1, 10}]}]; I call the data with the above, and try to convert with the below, which was working, but isn't working now for some reason. safeC ..read more

hello everyone !! how can i implement a new distribution in Mathematica ...i tried using the command Kiesdist[/[Lambda],/[Alpha]]=ProbabilityDistribution[(\[Alpha] \[Lambda])/(x - 1)^2 (x/( x - 1))^(\[Alpha] - 1) Exp[-\[Lambda] (x/(x - 1))^\[Alpha]], {x, 0, 1}, Assumptions -> {\[Lambda] > 0, \[Alpha] > 0}] as i am trying to simulate estimates for this distribution using the following command : FindDistributionParameters[data, testDistribution[\[Lambda], \[Alpha]], ParameterEstimator -> "MaximumLikelihood"] but i keep on getting an error message that it isnt a recognized distributio ..read more

Hello Everyone !! I have been trying to estimate the parameters of the kumaraswamy(alpha ,beta) distribution using 5 different methods (MLE,MOM ,PWM ,self determined PWM,POME ) In the notebook i attached a detailed explanation of the POME method ,my problem is that i am not getting estimates that are reasonable at all ...i have tried to restrict the domain of the dist by truncating the data but the problem still holds ..i have a paper of real life data and estimates were obtained using this method ,so can anyone please have a look at the simulation part and suggest solutions. My goal is to sim ..read more

&[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/a3858b52-b970-4bff-8b9f-a11e1b5bdad7 ..read more

![enter image description here][1] &[Wolfram Notebook][2] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=1614Mainimage.PNG&userId=20103 [2]: https://www.wolframcloud.com/obj/6fd27919-4003-4133-8536-d5d3109c3ca4 ..read more

&[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/c78dfa86-f81a-4e43-80ce-cc2e2b7b6976 ..read more

Hi, How do I show complete normal distribution over its histogram? list = {0.014952084292167656`, -0.0011142109478073092`, \ -0.03200699329376222`, 0.02610873317718504`, -0.007922259316024804`, 0.02329423863175964`, 0.0034785055449905455`, -0.007747760345867161`, 0.003986198148096087`, 0.031948672158741004`, -0.01922689853585434`, 0.0232439658404808`, 0.009156392455101026`, 0.05302010750555419`, 0.025142071231658958`, 0.0116075829784546`, -0.001449418525741597`, 0.029618730201622007`, 0.005921508633949274`, -0.0180861548626976`, -0.00510255607675171`, 0.018578990326231004`, 0.01742062363074874 ..read more