The associated vector of differences is the (T-1)-vector another_var given by аnother_var3 (var2 — vari, var3 — var2, ., varт — varт-1) Express another_var in terms of var using vector/matrix operations (e.g., slicing notation, sum, difference, linear combinations, inner product, product). The difference vector has a simple interpretation when var represents a time series. For example, if var gives the daily value of some quantity, another_var gives the day-to-day changes in the quantity. Find the value of d for the vector var = (2,3, 9, 3, 8, 5)

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Q2: Suppose var is a T-vector.
The associated vector of differences is the (T-1)-vector another_var given by
another_var =
(var2
var1, var3
var2, ..., varт
varт-1)
Express another_var in terms of var using vector/matrix operations (e.g., slicing notation, sum, difference, linear combinations, inner product,
product).
The difference vector has a simple interpretation when var represents a time series.
For example, if var gives the daily value of some quantity, another_var gives the day-to-day changes in the quantity.
Find the value of d for the vector var =
(2,3,9, 3, 8, 5)
[ ]
var = np.array([2, 3, 9, 3, 8, 5])
1. Program the difference vector
[] # write program
Transcribed Image Text:Q2: Suppose var is a T-vector. The associated vector of differences is the (T-1)-vector another_var given by another_var = (var2 var1, var3 var2, ..., varт varт-1) Express another_var in terms of var using vector/matrix operations (e.g., slicing notation, sum, difference, linear combinations, inner product, product). The difference vector has a simple interpretation when var represents a time series. For example, if var gives the daily value of some quantity, another_var gives the day-to-day changes in the quantity. Find the value of d for the vector var = (2,3,9, 3, 8, 5) [ ] var = np.array([2, 3, 9, 3, 8, 5]) 1. Program the difference vector [] # write program
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