Cargando…

Bayesian estimation of rainfall dispersion in Thailand using gamma distribution with excess zeros

The gamma distribution is commonly used to model environmental data. However, rainfall data often contain zero observations, which violates the assumption that all observations must be positive in a gamma distribution, and so a gamma model with excess zeros treated as a binary random variable is req...

Descripción completa

Detalles Bibliográficos
Autores principales:	Khooriphan, Wansiri, Niwitpong, Sa-Aat, Niwitpong, Suparat
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	PeerJ Inc. 2022
Materias:	Statistics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484466/ https://www.ncbi.nlm.nih.gov/pubmed/36132216 http://dx.doi.org/10.7717/peerj.14023

Ejemplares similares

Bayesian estimation for the mean of delta-gamma distributions with application to rainfall data in Thailand
por: Kaewprasert, Theerapong, et al.
Publicado: (2022)

The Bayesian confidence intervals for measuring the difference between dispersions of rainfall in Thailand
por: Yosboonruang, Noppadon, et al.
Publicado: (2020)

Bayesian computation for the common coefficient of variation of delta-lognormal distributions with application to common rainfall dispersion in Thailand
por: Yosboonruang, Noppadon, et al.
Publicado: (2022)

A Bayesian approach to construct confidence intervals for comparing the rainfall dispersion in Thailand
por: Maneerat, Patcharee, et al.
Publicado: (2020)

Measuring the dispersion of rainfall using Bayesian confidence intervals for coefficient of variation of delta-lognormal distribution: a study from Thailand
por: Yosboonruang, Noppadon, et al.
Publicado: (2019)

Estimation of common percentile of rainfall datasets in Thailand using delta-lognormal distributions
por: Thangjai, Warisa, et al.
Publicado: (2022)

Confidence intervals for the common coefficient of variation of rainfall in Thailand
por: Thangjai, Warisa, et al.
Publicado: (2020)

Simultaneous confidence intervals for all pairwise differences between the coefficients of variation of rainfall series in Thailand
por: Yosboonruang, Noppadon, et al.
Publicado: (2021)

Measurement of dispersion of PM 2.5 in Thailand using confidence intervals for the coefficient of variation of an inverse Gaussian distribution
por: Chankham, Wasana, et al.
Publicado: (2022)

Confidence intervals for the difference between the coefficients of variation of Weibull distributions for analyzing wind speed dispersion
por: La-ongkaew, Manussaya, et al.
Publicado: (2021)

Confidence intervals for rainfall dispersions using the ratio of two coefficients of variation of lognormal distributions with excess zeros
por: Yosboonruang, Noppadon, et al.
Publicado: (2022)

Confidence intervals for ratio of means of delta-lognormal distributions based on left-censored data with application to rainfall data in Thailand
por: Thangjai, Warisa, et al.
Publicado: (2023)

Estimation methods for the ratio of medians of three-parameter lognormal distributions containing zero values and their application to wind speed data from northern Thailand
por: Maneerat, Patcharee, et al.
Publicado: (2022)

Multiple comparisons of precipitation variations in different areas using simultaneous confidence intervals for all possible ratios of variances of several zero-inflated lognormal models
por: Maneerat, Patcharee, et al.
Publicado: (2021)

Simultaneous confidence intervals for all pairwise comparisons of the means of delta-lognormal distributions with application to rainfall data
por: Maneerat, Patcharee, et al.
Publicado: (2021)

Estimating average wind speed in Thailand using confidence intervals for common mean of several Weibull distributions
por: La-ongkaew, Manussaya, et al.
Publicado: (2023)

Estimating the average daily rainfall in Thailand using confidence intervals for the common mean of several delta-lognormal distributions
por: Maneerat, Patcharee, et al.
Publicado: (2021)

Bayesian interval estimations for the mean of delta-three parameter lognormal distribution with application to heavy rainfall data
por: Maneerat, Patcharee, et al.
Publicado: (2022)

Detecting the impact of land cover change on observed rainfall
por: Liang, Chun Xia, et al.
Publicado: (2019)

Predicting temperature curve based on fast kNN local linear estimation of the conditional distribution function
por: Almanjahie, Ibrahim M., et al.
Publicado: (2021)

Dirichlet composition distribution for compositional data with zero components: An application to fluorescence in situ hybridization (FISH) detection of chromosome
por: Tang, Man‐Lai, et al.
Publicado: (2021)

Inferring the age and sex of ancient potters from fingerprint ridge densities: A data-driven, Bayesian mixture modelling approach
por: Burchill, Andrew T., et al.
Publicado: (2023)

Sample Size Estimation in Clinical Trial
por: Sakpal, Tushar Vijay
Publicado: (2010)

A new robust Bayesian small area estimation via [Formula: see text] ‐stable model for estimating the proportion of athletic students in California
por: Zarei, Shaho, et al.
Publicado: (2021)

Estimating the number of principal components via Split-Half Eigenvector Matching (SHEM)
por: Gladwin, Thomas E.
Publicado: (2023)

Statistics on the distribution of contracts and purchase orders by country for the LHC Project based on payments and outstanding commitments for the period 1 January 1995 to 31 March 2000 (including adjudications by the Finance Committee up to March 2000).
Publicado: (2000)

A flexible and efficient Bayesian implementation of point process models for spatial capture–recapture data
por: Zhang, Wei, et al.
Publicado: (2022)

Excess Mortality From Suicide During the Early COVID-19 Pandemic Period in Japan: A Time-Series Modeling Before the Pandemic
por: Anzai, Tatsuhiko, et al.
Publicado: (2021)

Normal Distribution
por: Krithikadatta, Jogikalmat
Publicado: (2014)

The use of Bayesian methodology in the development and validation of a tiered assessment approach towards prediction of rat acute oral toxicity
por: Firman, James W., et al.
Publicado: (2022)

Introduction to Frequentist and Bayesian Fitting
por: James, F
Publicado: (2007)

Survival analysis in clinical trials: Basics and must know areas
por: Singh, Ritesh, et al.
Publicado: (2011)

Common pitfalls in statistical analysis: “P” values, statistical significance and confidence intervals
por: Ranganathan, Priya, et al.
Publicado: (2015)

Common pitfalls in statistical analysis: Clinical versus statistical significance
por: Ranganathan, Priya, et al.
Publicado: (2015)

Common pitfalls in statistical analysis: Absolute risk reduction, relative risk reduction, and number needed to treat
por: Ranganathan, Priya, et al.
Publicado: (2016)

Common pitfalls in statistical analysis: Odds versus risk
por: Ranganathan, Priya, et al.
Publicado: (2015)

Common pitfalls in statistical analysis: The perils of multiple testing
por: Ranganathan, Priya, et al.
Publicado: (2016)

On the challenges of drawing conclusions from p-values just below 0.05
por: Lakens, Daniël
Publicado: (2015)

Common pitfalls in statistical analysis: “No evidence of effect” versus “evidence of no effect”
por: Ranganathan, Priya, et al.
Publicado: (2015)

Common pitfalls in statistical analysis: Intention-to-treat versus per-protocol analysis
por: Ranganathan, Priya, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_pslbfb2n2a4phd7bo1e0p6ac4i