Implication of Production and Monitoring Techniques in Bayesian Single Sampling Plan Using Gamma-Zero Inflated Poisson Distribution

International Journal of Recent Technology and Engineering - India
doi 10.35940/ijrte.c5136.118419
Full Text
Abstract

Available in full text

Date
Authors

Unknown

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Related search

Wrapped Zero-Inflated Poisson Distribution and Its Properties

International Journal of Statistics and Probability
2015English

Analysis of Blood Transfusion Data Using Bivariate Zero-Inflated Poisson Model: A Bayesian Approach

Computational and Mathematical Methods in Medicine
GeneticsMolecular BiologyBiochemistryApplied MathematicsMicrobiology SimulationImmunologyMedicineModeling
2016English

A Study of the Score Test in Discrimination Poisson and Zero-Inflated Poisson Models

Acta Scientiarum - Technology
Planetary SciencesAstronomyEngineeringComputer ScienceMathematicsEarthChemistryPhysics
2013English

Adjusting for Covariates in Zero-Inflated Gamma and Zero-Inflated Log-Normal Models for Semicontinuous Data

English

Multiple Imputation of Dental Caries Data Using a Zero-Inflated Poisson Regression Model

Journal of Public Health Dentistry
EnvironmentalPublic HealthOccupational HealthDentistry
2010English

Overdispersion Study of Poisson and Zero-Inflated Poisson Regression for Some Characteristics of the Data on Lamda, N, P

International Journal of Advances in Intelligent Informatics
Computer VisionPattern RecognitionHuman-Computer InteractionArtificial Intelligence
2016English

On a Characterization of Zero-Inflated Negative Binomial Distribution

Open Journal of Statistics
2015English

Two New Bivariate Zero-Inflated Generalized Poisson Distributions With a Flexible Correlation Structure

Statistics, Optimization and Information Computing
ControlInformation SystemsPattern RecognitionProbabilityUncertaintyComputer VisionOptimizationStatisticsSignal ProcessingArtificial Intelligence
2015English

Bayesian Zero-Inflated Spatio-Temporal Modelling of Scrub Typhus Data in Korea, 2010-2014

Geospatial health
DevelopmentHealth PolicyPlanningHealthMedicineGeography
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy