Theorem 1.1 Let N be a countable set. Let p → [0, 1] be any function satisfying ΣωΩΡ(ω) = 1. Then there is a valid probability triple (N, F, P) where F = 22 and P(A) ΣWEAP(w). =
Theorem 1.1 Let N be a countable set. Let p → [0, 1] be any function satisfying ΣωΩΡ(ω) = 1. Then there is a valid probability triple (N, F, P) where F = 22 and P(A) ΣWEAP(w). =
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Please if able explain the following theorem and example in more detail, I'm struggling with understanding them both. I'm quite new to Statistics
![Theorem 1.1 Let be a countable set. Let p[0, 1] be any function satisfying
Ewen P(w) = 1. Then there is a valid probability triple (N, F, P) where F = 2º and P(A) =
ΣWEAP(W).
-
Example: Let us consider the geometric distribution with parameter p € (0, 1). Then 2 = = N₁
F = 22 and P(A) = ΣkɛA P(1 − p)k-1. The power set F is clearly a sigma-algebra since it
contains every subset of N. We will show that P satisfies Kolmogorov's axioms. First of all P
is a map from F to [0, 1]. Secondly
∞
P(N) = Σp(1 − p)k−¹ = pΣ(1 − p)k =
1
k=1
k=0
Р
(1 - p)
and third let us consider a sequence of disjoint events A₁, A2,.... Then
³ (ŨAn) -
P
=
1
∞
Σ p(1-p)k-1 A; disjoint Σ Σ p(1 - p)k-1 = ΣP(An).
KEU1 An
n=1 k€ An
n=1](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8e237d3f-b8e6-4775-a6f9-5671b153aef2%2F040ddcbb-394f-4d0b-93ea-581c77cb8992%2Fcnvwz2h_processed.png&w=3840&q=75)
Transcribed Image Text:Theorem 1.1 Let be a countable set. Let p[0, 1] be any function satisfying
Ewen P(w) = 1. Then there is a valid probability triple (N, F, P) where F = 2º and P(A) =
ΣWEAP(W).
-
Example: Let us consider the geometric distribution with parameter p € (0, 1). Then 2 = = N₁
F = 22 and P(A) = ΣkɛA P(1 − p)k-1. The power set F is clearly a sigma-algebra since it
contains every subset of N. We will show that P satisfies Kolmogorov's axioms. First of all P
is a map from F to [0, 1]. Secondly
∞
P(N) = Σp(1 − p)k−¹ = pΣ(1 − p)k =
1
k=1
k=0
Р
(1 - p)
and third let us consider a sequence of disjoint events A₁, A2,.... Then
³ (ŨAn) -
P
=
1
∞
Σ p(1-p)k-1 A; disjoint Σ Σ p(1 - p)k-1 = ΣP(An).
KEU1 An
n=1 k€ An
n=1
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