Results 11 to 20 of about 310,355 (224)
Confidence intervals for the common coefficient of variation of rainfall in Thailand [PDF]
PeerJ, 2020 The log-normal distribution is often used to analyze environmental data like daily rainfall amounts. The rainfall is of interest in Thailand because high variable climates can lead to periodic water stress and scarcity.
Warisa Thangjai +2 more
doaj +2 more sources
Mathematics, 2022 Heavy rain in September (the middle of the rainy season in Thailand) can cause unexpected events and natural disasters such as flooding in many areas of the country.
Theerapong Kaewprasert +2 more
doaj +1 more source
PLoS ONE, 2021 Natural disasters such as flooding and landslides are important unexpected events during the rainy season in Thailand, and how to direct action to avoid their impacts is the motivation behind this study.
Patcharee Maneerat +2 more
doaj +1 more source
Sequential Compressed Sensing [PDF]
, 2009 Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of random measurements. Existing results in compressed sensing literature have focused on characterizing the achievable performance ...
Malioutov, Dmitry +2 more
core +1 more source
Assessing consistency of fish survey data : uncertainties in the estimation of mackerel icefish (Champsocephalus gunnari) abundance at South Georgia [PDF]
, 2015 Acknowledgments The authors wish to thank the crews, fishermen and scientists who conducted the various surveys from which data were obtained, and Mark Belchier and Simeon Hill for their contributions.
Collins, Martin A. +3 more
core +1 more source
Mathematics, 2017 This paper proposes confidence intervals for a single mean and difference of two means of normal distributions with unknown coefficients of variation (CVs).
Warisa Thangjai +2 more
doaj +1 more source
Learning the Structure for Structured Sparsity [PDF]
, 2015 Structured sparsity has recently emerged in statistics, machine learning and signal processing as a promising paradigm for learning in high-dimensional settings.
Bach, Francis, Shervashidze, Nino
core +6 more sources
EJNMMI Physics, 2020 The National Electrical Manufacturers Association’s (NEMA) NU 4-2008 standard specifies methodology for evaluating the performance of small-animal PET scanners.
Patrick Hallen +2 more
doaj +1 more source
Using observation-level random effects to model overdispersion in count data in ecology and evolution [PDF]
, 2014 Overdispersion is common in models of count data in ecology and evolutionary biology, and can occur due to missing covariates, non-independent (aggregated) data, or an excess frequency of zeroes (zero-inflation).
Harrison, XA
core +2 more sources
Open-ocean interior moored sensor turbulence estimates, below a Meddy [PDF]
, 2019 A one-year time series of moored high-resolution temperature T-sensor data from 1455 m depth on a 3900 m long line in about 5300 m of water in the NE-Atlantic Canary Basin are dominated by salinity (over-)compensated intrusions arising from the effects ...
van Haren, Hans
core +3 more sources