Hi, I would Like toifSeethere isG way of Applyingthe Drazin Inverseon the AiniteMarkov chain and it you canshow two Example of that,well- de failed, that would be qwesome.

Let (Xn, n = 0,1,2,. . . ) be a sequence of random variables which assume values in a discrete…

Answered: Hi, I would Like to See if there is a…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Please show all steps. Thanks.
What would be the correct way of doing this?
We will use Markov chain to model weather XYZ city. According to the city’s meteorologist, every day in XYZ is either sunny, cloudy or rainy. The meteorologist have informed us that the city never has two consecutive sunny days. If it is sunny one day, then it is equally likely to be either cloudy or rainy the next day. If it is rainy or cloudy one day, then there is one chance in two that it will be the same the next possibilities. In the long run, what proportion of days are cloudy, sunny and rainy? Show the transition matrix.
5. Explain what is meant by BLUE estimates and the Gauss-Markov theorem. Mathematics relevant proofs will be rewarded. [:
Define Markov matrix.
Find the following definitions/theorems/lemma's
A researcher analyzing the determinants of earnings and she has data on 16 occupation categories that exhausts all possibilities. If the researcher runs a regression of earnings on a binary (dummy variable) for all 16 categories, which least-square assumption is violated?
At Suburban Community College, 30% of all business majors switched to another major the next semester, while the remaining 70% continued as business majors. Of all non-business majors, 10% switched to a business major the following semester, while the rest did not. Set up these data as a Markov transition matrix. HINT [See Example 1.] (Let 1 business majors, and 2 = non-business majors.) = Calculate the probability that a business major will no longer be a business major in two semesters' time.

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Hi, I would Like to See if there is a way of A pplying the Dragin Inverse on the finite Markov chain and if you Can show two Ex@mple of that, well- de taileel, that would be Qwesome.