18.440 Probability and Random Variables, Spring 2011 by Sheffield, Scott

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Modelling of synchronisation and energy performance of FBE- and LBE-based standalone LTE-U networks by Jiamin Li, Hangguan Shan, Aiping Huang, Jiantao Yuan, Lin X. Cai

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Enhancement of Maintenance Downtime Using Poisson Motivated-Taguchi Optimization Method by Akinwale Olusegun Raji, Sunday Ayoola Oke

“…In an original article, an addition was made to the well-known Taguchi’s methodical design literature by proposing how Poisson distribution may be incorporated into the Taguchi method for enhanced performance analysis in optimization. …”
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Detection of unobserved heterogeneity with growth mixture models by Jost Reinecke, Luca Mariotti

“…Special attention is given to the distribution of the substantive dependent variables as a count measures (Poisson distribution, zero-inflated Poisson distribution, cf. …”
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Continental moisture recycling as a Poisson process by H. F. Goessling, C. H. Reick

“…For case B we show by means of a~simple scale analysis that, given the conditions on earth, realistic frequency distributions may be regarded as a mixture of a Poisson distribution and a geometric distribution. By contrast, in case A the Poisson distribution generally appears as a reasonable approximation. …”
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DISTRIBUSI POISSON DAN DISTRIBUSI EKSPONENSIAL DALAM PROSES STOKASTIK by Sugito Sugito, Moch Abdul Mukid

“…Keywords: Poisson Process, Poisson Distribution, Eksponential Distribution…”
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Intermittent demand forecasting for aircraft inventories: a study of Brazilian’s Boeing 737NG aircraft´s spare parts management by Jersone Tasso Moreira Silva, Luiz Henrique Santos, Alexandre Teixeira Dias, Hugo Ferreira Braga Tadeu

“…The results showed that the Weight Moving Average, Poisson Distribution and Croston methods presented the best adjustments. …”
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Risk assessment for airborne disease transmission by poly-pathogen aerosols. by Freja Nordsiek, Eberhard Bodenschatz, Gholamhossein Bagheri

“…The risk of infection in indoor environments is typically modelled using the Wells-Riley model or a Wells-Riley-like formulation, usually assuming the pathogen dose follows a Poisson distribution (mono-pathogen assumption). Aerosols that hold more than one pathogen copy, i.e. poly-pathogen aerosols, break this assumption even if the aerosol dose itself follows a Poisson distribution. …”
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Compound Conway-Maxwell Poisson Gamma Distribution: Properties and Estimation by Jahnavi Merupula, V S Vaidyanathan

“…However, the equi-dispersion property of the Poisson distribution hinders its application in scenarios where the underlying count data is either over- or under-dispersed. …”
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Modelando la distribución del número de co-autores por artículo Modeling the distribution of co-authorships by paper by Rubén Urbizagástegui Alvarado, Cristina Restrepo Arango

“…<br>In the literature produced about Lotka's law from 1922 to June 2010, the geometric distribution, truncated Poisson distribution, Poisson lognormal distribution, and the generalized inverse Gaussian Poisson distribution are studied to statistically model the number the authors who collaborate in the publication of an article. …”
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The Poisson–Lindley Distribution: Some Characteristics, with Its Application to SPC by Waleed Ahmed Hassen Al-Nuaami, Ali Akbar Heydari, Hossein Jabbari Khamnei

“…However, to fit the Poisson distribution to the count data, equality of mean and variance should be satisfied. …”
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Intermittency and Alignment in Strong RMHD Turbulence by Chandran, B, Schekochihin, A, Mallet, A

“…The log-Poisson distribution in our model is characterized by two parameters. …”

An accident prediction model based on ARIMA in Kuala Lumpur, Malaysia using time series of actual accidents and related data by Choo, Boon Chong, Abdul Razak, Musab, Mohd Tohir, Mohd Zahirasri, Awang Biak, Dayang Radiah, Syam, Syafiie

“…The prediction using negative binomial and Poisson distribution showed a mean absolute percentage error (MAPE) of 33 and 51, respectively. …”
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An accident prediction model based on ARIMA in Kuala Lumpur, Malaysia, using time series of actual accidents and related data by Choo, Boon Chong, Abdul Razak, Musab, Mohd Tohir, Mohd Zahirasri, Awang Biak, Dayang Radiah, Syam, Syafiie

“…The negative binomial and Poisson distribution prediction showed a mean absolute percentage error (MAPE) of 33% and 51%, respectively. …”
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A New First-Order Integer-Valued Autoregressive Model with Bell Innovations by Jie Huang, Fukang Zhu

“…A Poisson distribution is commonly used as the innovation distribution for integer-valued autoregressive models, but its mean is equal to its variance, which limits flexibility, so a flexible, one-parameter, infinitely divisible Bell distribution may be a good alternative. …”
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Hidden Markov Model using transaction patterns for ATM card fraud detection by E.B. NKEMNOLE, A.A. AKINSETE

“…To find the fraudulent transaction, this study proposes a hidden Markov Model (HMM) based on the Poisson distribution (HMM[Pois]), the generalized Poisson distribution (HMM[GenPois]), and the Gaussian distribution (HMM[Gauss]) with the forward-backward algorithm which detects the fraud by using customers spending behavior. …”
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Raindrop size distribution and sampling size errors / by 333073 Joss, J., Waldvogel, A

“…The derivation is based on the assumption that the distribution of raindrop size follows a negative exponential law.The Poisson distribution is assumed for the number of the counted drops withdiameters between D and D+dD. …”

Overdispersion study of poisson and zero-inflated poisson regression for some characteristics of the data on lamda, n, p by Lili Puspita Rahayu, Kusman Sadik, Indahwati Indahwati

“…Poisson distribution is one of discrete distribution that is often used in modeling of rare events. …”
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Altitude Factors Affect Dengue Fever Cases in South Sulawesi: A Study Using Poisson Inverse Gaussian Regression Model by Adiatma Adiatma, Amin Tohari, Ali Faisal, Syamsul Alam

“…The way to prevent this is by combining the Poisson distribution and discrete or continuous distribution, this combination is called Mixed Poisson Distribution. …”
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Prediction Interval for Compound Conway–Maxwell–Poisson Regression Model with Application to Vehicle Insurance Claim Data by Jahnavi Merupula, V. S. Vaidyanathan, Christophe Chesneau

“…This distribution is a parsimonious two-parameter Poisson distribution that accounts for both over- and under-dispersed count data, making it more suitable for application in various fields. …”
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