Results 81 to 90 of about 222,822 (188)

Control Charts for the Lognormal Distribution [PDF]

Control Charts are the main tools of Statistical Process Control. They are used for deciding whether a process is statistically stable or not. Much theory and many applications have been developed for the Gaussian (Normal) distribution in this area ...
Panaretos, John, Maravelakis, Petros, Psarakis, Stelios   +2 more
core  

Polynomial Poisson algebras: Gel'fand-Kirillov problem and Poisson spectra [PDF]

, 2014
We study the fields of fractions and the Poisson spectra of polynomial Poisson algebras. First we investigate a Poisson birational equivalence problem for polynomial Poisson algebras over a field of arbitrary characteristic.
Lecoutre, César
core  

Word Length in Political Public Speaking: Distribution and Time Evolution

Entropy
In this paper, word length in the texts of public speeches by USA and UK politicians is analyzed. More than 300 speeches delivered over the past two hundred years were studied. It is found that the lognormal distribution better describes the distribution
Natalia L. Tsizhmovska, Leonid M. Martyushev   +1 more
doaj   +1 more source

Inference for double Pareto lognormal queues with applications [PDF]

In this article we describe a method for carrying out Bayesian inference for the double Pareto lognormal (dPlN) distribution which has recently been proposed as a model for heavy-tailed phenomena. We apply our approach to inference for the dPlN/M/1 and M/
Michael P. Wiper, Rosa E. Lillo, Pepa Ramirez, Simon P. Wilson   +3 more
core  

Biases in the Maximum Simulated Likelihood Estimation of the Mixed Logit Model

Econometrics
In a recent study, it was demonstrated that the maximum simulated likelihood (MSL) estimator produces significant biases when applied to the bivariate normal and bivariate Poisson-lognormal models.
Maksat Jumamyradov, Murat Munkin, William H. Greene, Benjamin M. Craig   +3 more
doaj   +1 more source

Evaluating Parameter Uncertainty in the Poisson Lognormal Model with Corrected Variational Estimators

Count data analysis is essential across diverse fields, from ecology and accident analysis to single-cell RNA sequencing (scRNA-seq) and metagenomics. While log transformations are computationally efficient, model-based approaches such as the Poisson-Log-Normal (PLN) model provide robust statistical foundations and are more amenable to extensions.
Batardière, Bastien, Chiquet, Julien, Mariadassou, Mahendra   +2 more
openaire   +3 more sources

Correlation in Bivariate Poisson Regression Model [PDF]

, 2007
We consider a bivariate Poisson model that is based on the lognormal heterogeneity model. Two recent applications have used this model. We suggest that the correlation estimated in their model frameworks is an ambiguous measure of the correlation of the ...
Greene, William
core   +1 more source

Common Correlation and Calibrating the Lognormal Forward Rate Model [PDF]

1997 three papers that introduced very similar lognormal diffusion processes for interest rates appeared virtuously simultaneously. These models, now commonly called the 'LIBOR models' are based on either lognormal diffusions of forward rates as in Brace,
Carol Alexandra
core  

The Catastrophe Bond Price Under the Jump Diffusion Model: A Multi-Currency Comparison

Stats
In this paper, we extend our jump-diffusion model to price the catastrophe bond. The model has three coupled stochastic processes—the spot exchange rate and the domestic and foreign interest rates—under a risk-neutral measure, with compensated compound ...
Ridhima Nehra, Indranil SenGupta
doaj   +1 more source

Modeling the Correlation Structure of RNA Sequencing Data Using A Multivariate Poisson-Lognormal Model

, 2016
High-throughput sequencing technologies have been widely used in biomedical research, especially in human genomic studies. RNA Sequencing (RNA-seq) applies high-throughput sequencing technologies to quantify gene expression, study alternatively spliced ...
Jia, Liyi
core