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Homogeneous Poisson process
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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 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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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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In this paper, we develop a generalized software reliability model incorporating the uncertainty of fault-detection rate per unit of time in the operating environments. A logistic fault-detection software reliability model is derived.
6p
vititan2711
13-08-2019
13
0
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In this paper, we develop a software reliability model with considerations of fault-dependent detection, imperfect fault removal and the maximum number of faults software. The genetic algorithm (GA) method is applied to estimate the model parameters.
9p
vititan2711
13-08-2019
30
0
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This paper introduces a forked communication network model with non-homogenous network model with bulk arrivals and phase type transmission. In this model it is assumed that the messages are converted into packets of random size and stored in buffers for forward transmission.
24p
guestgreat
16-05-2019
37
2
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