A comprehensive study on the Bayesian modelling of extreme rainfall: A case study from Pakistan

[1]  Allan H. Seheult,et al.  Trimmed L-moments , 2003, Comput. Stat. Data Anal..

[2]  M. Ignaccolo,et al.  A metastatistical approach to rainfall extremes , 2015 .

[3]  Jonathan A. Tawn,et al.  A Bayesian Analysis of Extreme Rainfall Data , 1996 .

[4]  Tadele Akeba Diriba,et al.  Modelling dependency effect to extreme value distributions with application to extreme wind speed at Port Elizabeth, South Africa: a frequentist and Bayesian approaches , 2020, Comput. Stat..

[5]  Nan Zou,et al.  On second order conditions in the multivariate block maxima and peak over threshold method , 2019, J. Multivar. Anal..

[6]  Effects of L-Moments, Maximum Likelihood and Maximum Product of Spacing Estimation Methods in Using Pearson Type-3 Distribution for Modeling Extreme Values , 2021, Water Resources Management.

[7]  Jonathan A. Tawn,et al.  Modelling the distribution of the cluster maxima of exceedances of subasymptotic thresholds , 2012 .

[8]  Wan Zawiah Wan Zin,et al.  Preliminary study on Bayesian extreme rainfall analysis: A case study of Alor Setar, Kedah, Malaysia , 2012 .

[9]  T. Ouarda,et al.  Frequency Analysis of Extreme Rainfall Events , 2013 .

[10]  Richard L. Smith,et al.  Models for exceedances over high thresholds , 1990 .

[11]  I. Ahmad MODELLING OF EXTREME RAINFALL IN PUNJAB: PAKISTAN USING BAYESIAN AND FREQUENTIST APPROACH , 2019, Applied Ecology and Environmental Research.

[12]  L. Haan,et al.  On the block maxima method in extreme value theory: PWM estimators , 2013, 1310.3222.

[13]  Ataur Rahman,et al.  A study on selection of probability distributions for at-site flood frequency analysis in Australia , 2013, Natural Hazards.

[14]  Laura Buzdugan,et al.  Hierarchical inference for genome-wide association studies: a view on methodology with software , 2018, Computational Statistics.

[15]  S. Coles,et al.  Likelihood-Based Inference for Extreme Value Models , 1999 .

[16]  Olofintoye Best – fit Probability distribution model for peak daily rainfall of selected Cities in Nigeria , 2009 .

[17]  J. Hosking L‐Moments: Analysis and Estimation of Distributions Using Linear Combinations of Order Statistics , 1990 .

[18]  J. Suhaila,et al.  Introducing the Mixed Distribution in Fitting Rainfall Data , 2011 .

[19]  G. La Loggia,et al.  Use of L-Moments Approach for Regional Flood Frequency Analysis in Sicily, Italy , 2009 .

[20]  Mauro Naghettini,et al.  Fundamentals of Statistical Hydrology , 2017 .

[21]  Stuart Coles,et al.  Bayesian modelling of extreme surges on the UK east coast , 2005, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[22]  Scott A. Sisson,et al.  A fully probabilistic approach to extreme rainfall modeling , 2003 .

[23]  Richard L. Smith Maximum likelihood estimation in a class of nonregular cases , 1985 .

[24]  H. Fowler,et al.  Hydroclimate: Understanding rainfall extremes , 2017 .

[25]  F. Caleyo,et al.  Extreme value analysis applied to pitting corrosion experiments in low carbon steel: Comparison of block maxima and peak over threshold approaches , 2008 .

[26]  R. Schumer,et al.  Future projections and uncertainty assessment of extreme rainfall intensity in the United States from an ensemble of climate models , 2013, Climatic Change.

[27]  P. Chu,et al.  Bayesian analysis for extreme climatic events: A review , 2011 .

[28]  Stuart G. Coles,et al.  Bayesian methods in extreme value modelling: a review and new developments. , 1996 .

[29]  Said Farooq Shah,et al.  MODELING OF MONSOON RAINFALL IN PAKISTAN BASED ON KAPPA DISTRIBUTION , 2013 .

[30]  L. K. Debusho,et al.  Bayesian modelling of extreme wind speed at Cape Town, South Africa , 2017, Environmental and Ecological Statistics.

[31]  Application of regional rainfall frequency analysis on seven sites of Sindh, Pakistan , 2017 .

[32]  I. Ahmad,et al.  Finding probability distributions for annual daily maximum rainfall in Pakistan using linear moments and variants , 2016 .