using fitdist from fitdistplus with binomial distribution 3 Trouble with 'fitdistrplus' package, t-distribution Load 7 more related questions Know someone who can answer? Share a link to this question via email, Twitter, or Facebook. Your Answer Sign up or log in Sign u...
Most people use abinomial distribution tableto look up the answer, likethe one on this site. The problem with most tables, including the one here, is that it doesn’t cover all possible values of p, or n. So if you have p = .64 and n = 256, you probably won’t be able to si...
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Step 1:First, determine the values of the two parameters that are required to define a binomial distribution: n= the total number of independent trials p= the probability of success on an individual trial Step 2:Calculate the variance,σ2, using the formulaσ2=np(1−p). ...
I got a ratio of 1.3 - which is high enough that I think I need to correct for it in my model. A common solution I am finding is to change the distribution from binomial to quasibinomial. Yet I am getting an error saying I cannot use a quasi family with a mixed ef...
the span of the neighborhood used, with smaller values allowing for less smoothing and more "wiggling", which helps to capture some areas on the grid where the probability of the binomial outcomes changes rapidly. How would I go about setting up the gam model to enable it to behave ...
Related to binomial distribution:Poisson distribution,normal distribution AcronymDefinition BDBoard BDBirthday BDBig Deal BDBaud BDBachelor of Divinity BDBangladesh(top-level domain name) BDBermuda BDBlu-ray Disc BDBound BDBase de Datos(Spanish: Database) ...
Binomial Continuous uniform Normal Exponential Normal Perhaps one of the most familiar and widely used is the normal distribution, often depicted as a bell curve.Normal distributionsshow how continuous data is distributed and depict most of the data as concentrated on the mean or average. ...
Volatility is also used to price options contracts using models like theBlack-Scholesorbinomial treemodels.6More volatile underlying assets will translate to higher options premiums because with volatility, there is a greater probability that the options will end upin the moneyat expiration. ...