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Comparison of Estimation Procedures for Multilevel AR(1) Models
Frontiers in Psychology, 2016 To estimate a time series model for multiple individuals, a multilevel model may be used.In this paper we compare two estimation methods for the autocorrelation in Multilevel AR(1) models, namely Maximum Likelihood Estimation (MLE) and Bayesian Markov ...
Tanja eKrone +2 more
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Frontiers in Marine ScienceA novel approach using lag weighted-average least squares (Lag-WALS) is proposed to forecast the interannual sea level anomaly (SLA) in the South China Sea (SCS) using lagged equatorial Pacific El Niño–Southern Oscillation (ENSO)-related quantities ...
Pengfei Yang, Hok Sum Fok, Hok Sum Fok
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Journal of Methods and Measurement in the Social Sciences, 2019 Neglecting to measure autocorrelation in longitudinal research methods such as Repeated Measures (RM) ANOVA produces invalid results. Using simulated time series data varying on autocorrelation, this paper compares the performance of repeated measures ...
Jay Schyler Raadt
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Frontiers in PediatricsBackgroundEthiopia is the fourth leading contributor to the global total of zero-dose children (those who lack the first dose of diphtheria-tetanus-pertussis containing vaccine) and has substantial regional variations in zero-dose children.
Fisseha Shiferie +6 more
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Transmissibility in Interactive Nanocomposite Diffusion: The Nonlinear Double-Diffusion Model
Frontiers in Applied Mathematics and Statistics, 2022 Model analogies and exchange of ideas between physics or chemistry with biology or epidemiology have often involved inter-sectoral mapping of techniques.
Amit K. Chattopadhyay +4 more
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The econometric study of dependencies in the construction sector of Azerbaijan [PDF]
Business & IT, 2020 The study aims to identify the issues of a quantitative assessment of the dependencies between indicators in the residential buildings of the construction sector in the Republic of Azerbaijan.
Leyla Huseynova +2 more
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Geostatistical-based index for spatial variability in soil properties [PDF]
Revista Brasileira de Ciência do SoloThe assessment of spatial variability of environmental variables such as soil properties is important for site-specific management. A geostatistical index that allows quantifying and characterizing the structure of spatial variability is fundamental in ...
Edemar Appel Neto +2 more
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Reservoir Evaporation Trend Analysis and Its Prediction using Time Series [PDF]
علوم و مهندسی آبیاری, 2013 Evaporation is one of the important factors in water loss from dam reservoirs. Therefore, the accurate prediction highly helps the reservoir planning and optimum water usage. In this study, using the recorded pan data the evaporation trend is determinded
Ramin Bahmani +3 more
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Dataset Reduction Techniques to Speed Up SVD Analyses on Big Geo-Datasets
ISPRS International Journal of Geo-Information, 2019 The Singular Value Decomposition (SVD) is a mathematical procedure with multiple applications in the geosciences. For instance, it is used in dimensionality reduction and as a support operator for various analytical tasks applicable to spatio-temporal ...
Laurens Bogaardt +3 more
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Methods in Ecology and EvolutionUnderstanding variation in species occupancy is an important task for conservation. When assessing occupancy patterns over multiple temporal seasons, it is recommended to visit at least a subset of sites multiple times within a season during a period of ...
Jeffrey W. Doser, Sara Stoudt
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