use a likelihood calculation and derive the posterior mean of the likelihood and deviance. October 11, 2020 Read More »
apply an ordered logistic model by data augmentation by direct sampling from a logistic and by sampling from a normal using scale mixing with an appropriate degrees of freedom. October 11, 2020 Read More »
illustrate a multiple comparison model where both fixed and random effects approaches to the permanent subject effect may be relevant, consider data from Horrace and Schmidt (2000) applied to loglinear production functions. October 11, 2020 Read More »
compare a 5-point discrete mixture on the log-logistic shape parameter with the variable scale model to downweight aberrant cases, namely ui ∼ L(ηi, 1/(κθi)) where θi are gamma with mean 1, and ui = log(ti). October 11, 2020 Read More »
Find the posterior mean for α and π by using the formula for the total probability P(yi = 1). October 11, 2020 Read More »
Explain how statistical techniques can be used in research and trade publication October 9, 2020 Read More »
examine the relationship between risk and return of two stocks over time and present your findings asa formal written report(detailing your calculations and findings). October 9, 2020 Read More »
Choose the same values for KP, KS, τP, and τS as in the example. Find the characteristic polynomial Δ(s) as a function of KC by evaluating |sI − A|. October 9, 2020 Read More »
Find the transfer function H(s) = X(s)/F(s) in terms of the natural frequency ωn = k m/ and the constant c = 1/m. Where are the poles located? October 9, 2020 Read More »