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Advanced Search Results For "POISSON distribution"

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 "POISSON distribution"
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Publication Type: Academic Journal

Source(s): Tidsskrift for den Norske laegeforening : tidsskrift for praktisk medicin, ny raekke [Tidsskr Nor Laegeforen] 2023 Jan 05; Vol. 143 (1). Date of Electronic Publication: 2023 Jan 05 (Print Publication: 2023).

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Use of the Poisson Distribution Is a Helpful Tool That Is Underused in Nursing Practice.

Publication Type: Academic Journal

Source(s): Journal of nursing care quality [J Nurs Care Qual] 2022 Jul-Sep 01; Vol. 37 (3), pp. E54-E57. Date of Electronic Publication: 2021 Dec 20.

Authors:

Abstract: Background: The Poisson distribution is used to find the probability of an event occurring over an interval of time, distance, area, or volume.Problem: It is a helpful statistical tool, especially when evaluating rare events, and is underused in nursin...

Re-analyzing the SARS-CoV-2 series using an extended integer-valued time series models: A situational assessment of the COVID-19 in Mauritius.

Publication Type: Academic Journal

Source(s): PloS one [PLoS One] 2022 Feb 08; Vol. 17 (2), pp. e0263515. Date of Electronic Publication: 2022 Feb 08 (Print Publication: 2022).

Abstract: This paper proposes some high-ordered integer-valued auto-regressive time series process of order p (INAR(p)) with Zero-Inflated and Poisson-mixtures innovation distributions, wherein the predictor functions in these mentioned distributions allow for c...

A general class of promotion time cure rate models with a new biological interpretation.

Publication Type: Academic Journal

Source(s): Lifetime data analysis [Lifetime Data Anal] 2023 Jan; Vol. 29 (1), pp. 66-86. Date of Electronic Publication: 2022 Sep 16.

Abstract: Over the last decades, the challenges in survival models have been changing considerably and full probabilistic modeling is crucial in many medical applications. Motivated from a new biological interpretation of cancer metastasis, we introduce a genera...

ESTIMATION OF RARE SENSITIVE PARAMETER UNDER POISSON APPROXIMATION USING STRATIFIED THREE STAGE RANDOMIZED RESPONSE MODEL.

Publication Type: Academic Journal

Source(s): Journal of Science & Arts. Dec2022, Vol. 22 Issue 4, p829-836. 8p.

Abstract: This study investigates the process for estimating the mean number of individuals having rare sensitive attribute in stratified random sampling for known population using Poisson distribution. The properties of the suggested estimation procedures are d...

Spatial analysis of G.f.fuscipes abundance in Uganda using Poisson and Zero-Inflated Poisson regression models.

Publication Type: Academic Journal

Source(s): PLoS neglected tropical diseases [PLoS Negl Trop Dis] 2021 Dec 06; Vol. 15 (12), pp. e0009820. Date of Electronic Publication: 2021 Dec 06 (Print Publication: 2021).

Abstract: Background: Tsetse flies are the major vectors of human trypanosomiasis of the form Trypanosoma brucei rhodesiense and T.b.gambiense. They are widely spread across the sub-Saharan Africa and rendering a lot of challenges to both human and animal health...

A flexible approach to modelling over-, under- and equidispersed count data in IRT: The Two-Parameter Conway-Maxwell-Poisson Model.

Publication Type: Academic Journal

Source(s): The British journal of mathematical and statistical psychology [Br J Math Stat Psychol] 2022 Nov; Vol. 75 (3), pp. 411-443. Date of Electronic Publication: 2022 Jun 09.

Authors:

Abstract: Several psychometric tests and self-reports generate count data (e.g., divergent thinking tasks). The most prominent count data item response theory model, the Rasch Poisson Counts Model (RPCM), is limited in applicability by two restrictive assumption...

The Most Probable Curve method - A robust approach to estimate kinetic models from low plate count data resulting in reduced uncertainty.

Publication Type: Academic Journal

Source(s): International journal of food microbiology [Int J Food Microbiol] 2022 Nov 02; Vol. 380, pp. 109871. Date of Electronic Publication: 2022 Aug 12.

Abstract: A novel method is proposed for fitting microbial inactivation models to data on liquid media: the Most Probable Curve (MPC) method. It is a multilevel model that makes a separation between the "true" microbial concentration according to the model, the ...

Two-sample test with g-modeling and its applications.

Publication Type: Academic Journal

Source(s): Statistics in medicine [Stat Med] 2023 Jan 15; Vol. 42 (1), pp. 89-104. Date of Electronic Publication: 2022 Nov 22.

Authors:

Abstract: Many real data analyses involve two-sample comparisons in location or in distribution. Most existing methods focus on problems where observations are independently and identically distributed in each group. However, in some applications the observed da...

On predicting heterogeneity in nanoparticle dosage.

Publication Type: Academic Journal

Source(s): Mathematical biosciences [Math Biosci] 2022 Dec; Vol. 354, pp. 108928. Date of Electronic Publication: 2022 Nov 02.

Abstract: Nanoparticles are increasingly employed as a vehicle for the targeted delivery of therapeutics to specific cell types. However, much remains to be discovered about the fundamental biology that dictates the interactions between nanoparticles and cells. ...

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