Maurice Tutor

(5)

$15/per page/Negotiable

About Maurice Tutor

Levels Tought:
Elementary,Middle School,High School,College,University,PHD

Expertise:
Algebra,Applied Sciences See all
Algebra,Applied Sciences,Biology,Calculus,Chemistry,Economics,English,Essay writing,Geography,Geology,Health & Medical,Physics,Science Hide all
Teaching Since: May 2017
Last Sign in: 401 Weeks Ago, 2 Days Ago
Questions Answered: 66690
Tutorials Posted: 66688

Education

  • MCS,PHD
    Argosy University/ Phoniex University/
    Nov-2005 - Oct-2011

Experience

  • Professor
    Phoniex University
    Oct-2001 - Nov-2016

Category > Accounting Posted 08 Aug 2017 My Price 4.00

Tumor count comparison

4.2 Tumor count comparisons: Reconsider the tumor count data in Exercise 3.3: a) For the prior distribution given in part a) of that exercise, obtain Pr(?B < ?A|yA, yB) via Monte Carlo sampling. b) For a range of values of n0, obtain Pr(?B < ?A|yA, yB) for ?A ~ gamma(120, 10) and ?B ~ gamma(12×n0, n0). Describe how sensitive the conclusions about the event {?B < ?A} are to the prior distribution on ?B. c) Repeat parts a) and b), replacing the event {?B < ?A} with the event {Y˜B < Y˜A}, where Y˜A and Y˜B are samples from the posterior predictive distribution

Answers

Maurice Tutor
(5)
Status NEW Posted 08 Aug 2017 02:08 PM My Price 4.00

Hel-----------lo -----------Sir-----------/Ma-----------dam-----------Tha-----------nk -----------You----------- fo-----------r u-----------sin-----------g o-----------ur -----------web-----------sit-----------e a-----------nd -----------and----------- ac-----------qui-----------sit-----------ion----------- of----------- my----------- po-----------ste-----------d s-----------olu-----------tio-----------n.P-----------lea-----------se -----------pin-----------g m-----------e o-----------n c-----------hat----------- I -----------am -----------onl-----------ine----------- or----------- in-----------box----------- me----------- a -----------mes-----------sag-----------e I----------- wi-----------ll

Not Rated(0)