Introductory Combinatorics
5th Edition
ISBN: 9780134689616
Author: Brualdi, Richard A.
Publisher: Pearson,
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Chapter 2, Problem 64E
(a)
To determine
To find: The probability that the sequence contains exactly
(b)
To determine
To find: The probability that the sequence contains exactly
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Module Code: MATH380202
3. (a) Let {} be a white noise process with variance σ2.
Define an ARMA(p,q) process {X} in terms of {+} and state (without proof)
conditions for {X} to be (i) weakly stationary and (ii) invertible.
Define what is meant by an ARIMA (p, d, q) process. Let {Y} be such an ARIMA(p, d, q)
process and show how it can also be represented as an ARMA process, giving the
AR and MA orders of this representation.
(b) The following tables show the first nine sample autocorrelations and partial auto-
correlations of X and Y₁ = VX+ for a series of n = 1095 observations. (Notice
that the notation in this part has no relationship with the notation in part (a) of
this question.)
Identify a model for this time series and obtain preliminary estimates for the pa-
rameters of your model.
X₁
= 15.51, s² = 317.43.
k
1
2
3
4
5
6
7
Pk
0.981
0.974
0.968
akk 0.981 0.327
8
9
0.927
0.963 0.957 0.951 0.943 0.935
0.121 0.104 0.000 0.014 -0.067 -0.068 -0.012
Y₁ = VX : y = 0.03, s² = 11.48.
k
1…
Let G be a graph with n ≥ 2 vertices x1, x2, . . . , xn, and let A be the adjacency matrixof G. Prove that if G is connected, then every entry in the matrix A^n−1 + A^nis positive.
Module Code: MATH380202
1. (a) Define the terms "strongly stationary" and "weakly stationary".
Let {X} be a stochastic process defined for all t € Z. Assuming that {X+} is
weakly stationary, define the autocorrelation function (acf) Pk, for lag k.
What conditions must a process {X+) satisfy for it to be white noise?
(b) Let N(0, 1) for t€ Z, with the {+} being mutually independent. Which of
the following processes {X+} are weakly stationary for t> 0? Briefly justify your
answers.
i. Xt for all > 0.
ii. Xo~N(0,) and X₁ = 2X+-1+ &t for t > 0.
(c) Provide an expression for estimating the autocovariance function for a sample
X1,..., X believed to be from a weakly stationary process. How is the autocor-
relation function Pk then estimated, and a correlogram (or acf plot) constructed?
(d) Consider the weakly stationary stochastic process ✗+ = + + +-1+ +-2 where
{E} is a white noise process with variance 1. Compute the population autocorre-
lation function Pk for all k = 0, 1, ....
Chapter 2 Solutions
Introductory Combinatorics
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x1 + x2 + x3 + x4 =...Ch. 2 - There are 20 identical sticks lined up in a row...Ch. 2 - There are n sticks lined up in a row, and k of...Ch. 2 - In how many ways can 12 indistinguishable apples...Ch. 2 - Prob. 42ECh. 2 - Prob. 43ECh. 2 - Prove that the number of ways to distribute n...Ch. 2 - Prob. 45ECh. 2 - Prob. 46ECh. 2 - There are 2n + 1 identical books to be put in a...Ch. 2 - Prob. 48ECh. 2 - Prob. 49ECh. 2 - In how many ways can five identical rooks be...Ch. 2 - Consider the multiset {n · a, 1, 2, 3, … , n} of...Ch. 2 - Consider the multiset {n · a, n · b, 1, 2, 3, … ,...Ch. 2 - Find a one-to-one correspondence between the...Ch. 2 - Prob. 54ECh. 2 - How many permutations are there of the letters in...Ch. 2 - What is the probability that a poker hand contains...Ch. 2 - What is the probability that a poker hand contains...Ch. 2 - Prob. 58ECh. 2 - Prob. 59ECh. 2 - A bagel store sells six different kinds of bagels....Ch. 2 - Consider an 9-by-9 board and nine rooks of which...Ch. 2 - Prob. 62ECh. 2 - Four (standard) dice (cubes with 1, 2, 3, 4, 5, 6,...Ch. 2 - Let n be a positive integer. Suppose we choose a...
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