gamma distribution fitting and making figures
$10-30 USD
Teslim sırasında ödenir
There are two parts of this task:
1. fit 6 gamma distributions in a statistically meaningful way. Each distribution function has 7 data points for the curve fitting.
2. make graphically appealing figures according to my specifications.
Preferably someone who knows statistics and also good at making nice figures.
Here is a more accurate description of the fitting part.
Each set of data has 6 data points, each data point is the x axis value and the pdf function value. I look for the pdf which fits these 6 points best.
I have 12 sets of such data. They need to be made into 4 figures, each containing 3 pdf plots, as in the picutre. The excel file contains an example of 3 sets of data.
Please note that these data are actual pdf values. They are NOT sample data.
Proje NO: #8077484
Proje hakkında
Seçilen:
I can make this job. The calculus and excellent figures will be made in Wolfram Mathematica. Kind regards, Ivan Siahlo
Bu iş için 12 freelancer ortalamada $30 teklif veriyor
HI I can use R programming to solve this problem. The r-studio will give very good quality graphs which can be directly included in the thesis or papers. The R-program is well cited for such analysis and i think it is Daha Fazla
Hello I am a PhD who has expertise in statistics. I will provide meaningful analysis. Thanks &Regards.
As a Post Graduate in Statistics and graduate in mathematics, i have a lot of experience in handling statistical data, especially in Time Series Modelling & Forecasting, Regression analysis,correlation , ANOVA, statist Daha Fazla
Hello, I am expert in Matlab and statistics. I can handle this project and deliver high quality graphs and results. Contact me for more details. Regards, Mohamed
Hi! I have an MSc in Statistics from the Technion IIT and I was a teaching assistant in advanced probabilities and statistics for 4 years. I am still teaching statistics within the framework of private teaching. I wi Daha Fazla
Hi, I am a PhD candidate majored in statistics. I propose to use Maximum Likelihood Estimation for the parameters. For the plots, it is better that you can give some specific requirements. It can take a lot of time if Daha Fazla
