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18 results for Bayesian.

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Keyword    Bayesian

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On the Comparison of Classical and Bayesian Methods of Estimation of Reliability in Multicomponent Stress-Strength Model for a Proportional Hazard Rate Model
by Taruna Kumari and Anupam Pathak
American Journal of Applied Mathematics and Statistics. 2019, 7(4), 152-160. DOI: 10.12691/ajams-7-4-5
Pub. Date: July 29, 2019Views: 11110Downloads: 11657
proportional hazard rate model; maximum likelihood estimation uniformly minimum variance unbiased estimation Bayesian estimation; asymptotic confidence interval multicomponent reliability.
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Semiparametric Estimation of Receiver Operating Characteristic Surface
by Ben K. Koech
American Journal of Applied Mathematics and Statistics. 2018, 6(6), 218-223. DOI: 10.12691/ajams-6-6-1
Pub. Date: October 31, 2018Views: 12713Downloads: 11895
Bayesian Semiparametric Estimation Dirichlet process mixtures of normals Receiver operating characteristics Volume Under Surface
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Forecasting Household Credit in Kenya Using Bayesian Vector Autoregressive (BVAR) Model
by Caspah Lidiema, Anthony Waititu, Thomas Mageto and Anthony Ngunyi
American Journal of Applied Mathematics and Statistics. 2018, 6(1), 17-24. DOI: 10.12691/ajams-6-1-4
Pub. Date: March 28, 2018Views: 14286Downloads: 14037
Bayesian remittance household credit
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Modelling Co-movement of Different Sectors in Dhaka Stock Exchange (DSE) Using Asymmetric BVAR-GARCH Models
by Abdul Hannan Chowdhury and Mohammad Kamrul Arefin
Journal of Finance and Economics. 2017, 5(3), 105-117. DOI: 10.12691/jfe-5-3-3
Pub. Date: April 19, 2017Views: 20260Downloads: 18658
volatility spillover return spillover Bayesian VAR GJR-GARCH VECH BEKK DSE
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Inference Based on Type II Progressively Interval Censored from Inverse Flexible Weibull Distribution Using Different Simulation Methods
by W.M. Afify
American Journal of Applied Mathematics and Statistics. 2016, 4(4), 126-135. DOI: 10.12691/ajams-4-4-5
Pub. Date: September 01, 2016Views: 26350Downloads: 25553
Inverse flexible Weibull distribution progressive interval type-II censoring bootstrap-t Algorithm Bayesian and non-Bayesian approach MCMC
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Pseudo R2 Probablity Measures, Durbin Watson Diagnostic Statistics and Einstein Summations for Deriving Unbiased Frequentistic Inferences and Geoparameterizing Non-Zero First-Order Lag Autocorvariate Error in Regressed Multi-Drug Resistant Tuberculosis Time Series Estimators
by Benjamin G. Jacob, Daniel Mendoza, Mario Ponce, Semiha Caliskan, Ali Moradi, Eduardo Gotuzzo, Daniel A. Griffith and Robert J. Novak
American Journal of Applied Mathematics and Statistics. 2014, 2(5), 252-301. DOI: 10.12691/ajams-2-5-1
Pub. Date: August 27, 2014Views: 36969Downloads: 31475
Multi-Drug Resistant Tuberculosis (MDR-TB) Durbin-Watson statistics Bayesian San Juan de Lurigancho
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Bayesian Spatial Modelling of Tuberculosis Incidence in Meru County, Kenya Using Conditional Autoregressive(CAR) and Poisson Lognormal(PLN) Models
by Kithaka Gilbert Mucheri, Peter Kinyua Gachoki and Kilai Mutua
American Journal of Applied Mathematics and Statistics. 2024, 12(3), 55-65. DOI: 10.12691/ajams-12-3-3
Pub. Date: August 05, 2024Views: 1447Downloads: 1901
tuberculosis bayesian spatial models spatial dependency conditional autoregressive model poisson lognormal model poisson gamma model
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Assessment of Factors Affecting Adulthood Body Mass Index among Japanese Using the Bayesian Network
by Rie Horiuchi, Yuko Maki, Miki Tokunaga, Ram B. Singh, Douglas W. Wilson, Harpal S. Buttar and Toru Takahashi
Journal of Food and Nutrition Research. 2022, 10(7), 511-517. DOI: 10.12691/jfnr-10-7-10
Pub. Date: July 24, 2022Views: 3452Downloads: 7644
body mass index meal regularity mealtimes children parents Bayesian network
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Monitoring Maternal Healthcare Performance in Hospital Setting Using a Multi-stage Bayesian Network Approach
by Ridwan Al Aziz, Hasan Symum, Nafisa Mahbub and Abdullahil Azeem
American Journal of Industrial Engineering. 2021, 8(1), 9-17. DOI: 10.12691/ajie-8-1-2
Pub. Date: December 12, 2021Views: 4349Downloads: 5763
maternal health childbirth predictive modeling Bayesian network control chart
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Probabilistic Programming Method for Time-Series Forecasting of COVID-19 Cases Based on Empirical Data
by Matti Pärssinen, Ilkka Sillanpää and Mikko Kotila
American Journal of Epidemiology and Infectious Disease. 2021, 9(1), 18-23. DOI: 10.12691/ajeid-9-1-4
Pub. Date: August 10, 2021Views: 4289Downloads: 5070
Bayesian analysis forecasting pandemic
Abstract Full Text PDF (268 KB) Full Text HTML Full Text ePUB (602 KB)
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