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Poisson Processes
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In this book you will find the basics of probability theory and statistics. In addition, there are several topics that go somewhat beyond the basics but that ought to be present in an introductory course: simulation, the Poisson process, the law of large numbers, and the central limit theorem. Computers have brought many changes in statistics. In particular, the bootstrap has earned its place. It provides the possibility to derive confidence intervals and perform tests of hypotheses where traditional (normal approximation or large sample) methods are inappropriate.
484p
zizaybay1103
29-05-2024
3
1
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Probability and Computer science - Lecture 7: Continuous distributions and poisson process. This lecture provides students with content including: continuous random variables; poisson process; queuing theory just a glance; uniform distribution; exponential distribution;... Please refer to the detailed content of the lecture!
27p
codabach1016
03-05-2024
2
0
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The molecular dynamics simulations have been used to study the microstructure as well as mechanical behavior of cubic silicon nitride (c-Si3N4) under the extended deformation. The silicon nitride sample was simulated under the cooling process and high pressure.
10p
viberkshire
09-08-2023
8
4
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Ebook A modern introduction to probability and statistics: Understanding why and how - Part 1 presents the following content: Chapter 1 why probability and statistics? chapter 2 outcomes, events, and probability, chapter 3 conditional probability and independence, chapter 4 discrete random variables, chapter 5 continuous random variables, chapter 6 simulation, chapter 7 expectation and variance, chapter 8 computations with random variables, chapter 9 joint distributions and independence, chapter 10 covariance and correlation, chapter 11 more computations with more random variables, chapter ...
250p
haojiubujain02
03-07-2023
7
2
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Lecture Probability Theory - Lecture 15: Poisson Processes. In this lecture, we will discuss Poisson process, distribution of number of arrivals, and distribution of interarrival times. In this chapter includes the following topics:
47p
cucngoainhan0
10-05-2022
9
1
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Lecture Introduction to Stochastic Processes: Lesson 1 provide students with knowledge about Homogeneous Poisson process on the positive real numbers; Discrete Markov chains with countable state space; classification of states - recurrence, transience, periodicity; stationary distributions, reversible chains; several illustrations;...
8p
bachnhuocdong
23-12-2021
15
0
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Lecture Introduction to Stochastic Processes: Lesson 2 provide students with knowledge about poisson process: an easy observation; poisson process: another easy observation; heuristic justification; rigorous justification; more general question; proof of the first proposition;...
13p
bachnhuocdong
23-12-2021
10
0
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Lecture Introduction to Stochastic Processes: Lesson 3 provide students with knowledge about positive random variables; the proof modulo (A) and (B); the Poisson process of phonecalls observed by you is independent of the number of phonecalls before you joined;...
13p
bachnhuocdong
23-12-2021
9
0
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Lecture Introduction to Stochastic Processes: Lesson 4 provide students with knowledge about consequence of theorem, proof of the claim, what does the claim mean, disjoint time-intervals, the stochastic process, homogeneous Poisson proces,...
14p
bachnhuocdong
23-12-2021
14
0
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Lecture Introduction to Stochastic Processes: Lesson 5 provide students with knowledge about homogeneous Poisson process, poissonian increments, the converse of the previous theorem also holds, inhomogeneous Poisson process, towards the proof of theorem,...
17p
bachnhuocdong
23-12-2021
11
0
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Lecture Introduction to Stochastic Processes: Lesson 6 provide students with knowledge about a small digression; third step: the verification; extensions that finish the proof of theorem; properties of homogeneous poisson processes; probability density function;...
15p
bachnhuocdong
23-12-2021
9
0
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Lecture Introduction to Stochastic Processes: Lesson 7 provide students with knowledge about the order statistics property, an application of order statistics property, how to establish the order statistics property, further properties of homogeneous poisson processes,...
13p
bachnhuocdong
23-12-2021
18
0
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Lecture Introduction to Stochastic Processes: Lesson 8 provide students with knowledge about domestic and international passengers, thinning of a homogeneous poisson processes, quick review of probability generating functions, computation of probability generating functions,...
27p
bachnhuocdong
23-12-2021
14
0
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Bài viết sử dụng mô hình tăng trưởng độ tin cậy NHPP (Non-Homogeneous Poisson Process) để đánh giá, xác định độ tin cậy của các ứng dụng di động thông qua việc áp dụng các kỹ thuật, phương pháp kiểm thử và kiểm thử tự động đã được chúng tôi công bố ở các nghiên cứu trước như (1) kỹ thuật tối ưu mã nguồn, (2) kiểm thử hướng ngữ cảnh One2explore, (3) ứng dụng Heuristics và Machine learning trong kiểm thử, (4) sinh kiểm thử tự động từ user stories và acceptance criteria.
23p
trinhthamhodang1218
04-03-2021
35
2
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Sequence alignment is crucial in genomics studies. However, optimal multiple sequence alignment (MSA) is NP-hard. Thus, modern MSA methods employ progressive heuristics, breaking the problem into a series of pairwise alignments guided by a phylogeny.
8p
viconnecticut2711
28-10-2020
13
1
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A real inventory system for single item with specific demand characteristics motivates this works. The demand can be seen as two types of independent demand, where compound Poisson process describes the characteristics of each demand.
10p
tohitohi
22-05-2020
18
0
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The fabrication process is subject to random failure and scrap rates. The failure instance follows a Poisson distribution, is repaired right away, and the fabrication of interrupted batch resumes when the equipment is restored. The defective goods are identified and scrapped. Mathematical modeling and optimization method are used to find the total system cost and the optimal runtime of the problem.
16p
toritori
11-05-2020
13
1
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In this paper, the focus is on mechanical systems that, like a ship or a submarine, perform risky missions and that must remain operating for the whole mission time. Missions take place far from the operational base and so, in case of failures, although repairs are possible, spares parts cannot be resupplied.
18p
toritori
11-05-2020
8
0
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The following will be discussed in this chapter: Delay in packet networks, introduction to queueing theory, review of probability theory, the poisson process, little’s theorem, proof and intuitive explanation.
37p
kexauxi4
01-10-2019
26
2
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In this paper, we present two new software reliability models with considerations of the fault-detection rate based on a Loglog distribution and the testing coverage subject to the uncertainty of operating environments.
7p
vititan2711
13-08-2019
11
0
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