Modelling and Pricing of Options under Constant elasticity of variance CEV Models 1- option price 2- r Constant elasticity of variance CEV Models 3- ggm model
project is to apply appropriate machine learning R , with any topic/problem related to large dataset processing and analytics. You need to analyse requirements, formulate solution, and implement your solution in the form of software development . Finally you need to present all your project and results in a written technical report.
I need 12 practical exercises to resolve real cases related to business and making decisions using RapidMiner. The exercises will be with describe of problem. Solution as guide with clear explanations of How to resolve it.
I need practical exercises related to business and making decisions. I am teacher. I will teach R languaje for statistical. But I need data and real problems to can explain how R can resolve all kind of problems related to business and making decisions. I need exercises with resolution guide and explanations to can resolve in 12 hours.
I am looking a suggestion for the best approach to model - 12 questioner (Ordinal - score of 0 to 4 – its the level of implementation intervention) and continuous outcome. Requires SAS STATS/ SAS Macro knowledge as well– May be one hour consultation. I already have something in place but just want get second opinion. Thanks
data analysis: Descriptive and regression analysis
The project requires one-variable or two-variable analysis. The key question here is what is a variable? A variable is something that is changeable, and we need to define it before we can perform the analysis. The assignment has no restrictions on how to define a variable. For example, we can define a variable as "the unemployment rate", then it's a variable containing a sequence o...