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1. From measured data to design precipitation—a service of the Hydrographic Service of Austria

Author:
Weilguni, Viktor
Source:
Österreichische Wasser- und Abfallwirtschaft 2019 v.71 no.1-2 pp. 36-42
ISSN:
0945-358X
Subject:
statistical analysis,   etc   ; models; Austria;     Show all 3 Subjects
Abstract:
... Design precipitation estimates—precipitation values with a certain return period—are basis for many water management-planning purposes.Since 2009, the Hydrographic Service in Austria has used three methods, the frequency analysis of extreme values, Precipitation model output with maximised initial conditions and a combination of these two methods to calculate the design precipitation.An overview o ...
DOI:
10.1007/s00506-018-0539-8

2. The empirical likelihood prior applied to bias reduction of general estimating equations

Author:
Vexler, Albert; Zou, Li; Hutson, Alan D.
Source:
Computational statistics & data analysis 2019 v.138 pp. 96-106
ISSN:
0167-9473
Subject:
statistical analysis,   etc   ; equations; myocardial infarction;     Show all 3 Subjects
Abstract:
... The practice of employing empirical likelihood (EL) components in place of parametric likelihood functions in the construction of Bayesian-type procedures has been well-addressed in the modern statistical literature. The EL prior, a Jeffreys-type prior, which asymptotically maximizes the Shannon mutual information between data and the parameters of interest, is rigorously derived. The focus of the ...
DOI:
10.1016/j.csda.2019.04.001

3. Regime switching panel data models with interactive fixed effects

Author:
Cheng, Tingting; Gao, Jiti; Yan, Yayi
Source:
Economics letters 2019 v.177 pp. 47-51
ISSN:
0165-1765
Subject:
statistical analysis,   etc   ; algorithms; economics; models;     Show all 4 Subjects
Abstract:
... In this paper, we introduce a regime switching panel data model with interactive fixed effects. We propose a maximum likelihood estimation method and develop an expectation and conditional maximization algorithm to estimate the unknown parameters. Simulation results show that the algorithm works well in finite samples. The biases of the maximum likelihood estimates are negligible and the root mean ...
DOI:
10.1016/j.econlet.2019.01.024

4. Simultaneous estimation based on empirical likelihood and general maximum likelihood estimation

Author:
Park, Junyong
Source:
Computational statistics & data analysis 2018 v.117 pp. 19-31
ISSN:
0167-9473
Subject:
statistical analysis
Abstract:
... One typical problem in simultaneous estimation of mean values is estimating means of normal distributions, however when normality or any other distribution is not specified, more robust estimation procedures are demanded. A new estimation procedure is proposed based on empirical likelihood which does not request any specific distributional assumption. The new idea is based on incorporating empiric ...
DOI:
10.1016/j.csda.2017.08.003

5. Development of a high spatiotemporal resolution cloud-type classification approach using Himawari-8 and CloudSat

Author:
Zhang, Chengwei; Zhuge, Xiaoyong; Yu, Fan
Source:
International journal of remote sensing 2019 v.40 no.16 pp. 6464-6481
ISSN:
1366-5901
Subject:
statistical analysis,   etc   ; algorithms; data collection; remote sensing;     Show all 4 Subjects
Abstract:
... With the cloud scenario products from CloudSat, we developed a high spatiotemporal resolution cloud-type classification procedure for Himawari-8 multispectral datasets using maximum-likelihood estimation (MLE) and random forests (RF) classification. The training and classification procedures were processed independently, and both algorithms provided cloud-type results with a good performance. Vali ...
DOI:
10.1080/01431161.2019.1594438

6. A geometric-morphometric assessment of three-dimensional models of experimental cut-marks using flint and quartzite flakes and handaxes

Author:
Linares-Matás, Gonzalo José; Yravedra, José; Maté-González, Miguel Ángel; Courtenay, Lloyd A.; Aramendi, Julia; Cuartero, Felipe; González-Aguilera, Diego
Source:
Quaternary international 2019
ISSN:
1040-6182
Subject:
statistical analysis,   etc   ; butchering; models; quartzite; raw materials;     Show all 5 Subjects
Abstract:
... Developments in methodological approaches to high-resolution morphometrical study of cut-mark morphology further our understanding of butchering activities. Identification of micro-morphological variability between different taphonomical alterations on ancient bone allows detection and comparison of bone-surface modifications and associated taphonomical agents and activities. By taking a geometric ...
DOI:
10.1016/j.quaint.2019.05.010

7. Monotone trends in the distribution of climate extremes

Author:
Roth, Martin; Jongbloed, Geurt; Buishand, Adri
Source:
Theoretical and applied climatology 2019 v.136 no.3-4 pp. 1175-1184
ISSN:
0177-798X
Subject:
statistical analysis,   etc   ; algorithms; climate; models; temperature; England;     Show all 6 Subjects
Abstract:
... The generalized Pareto distribution (GPD) is often used in the statistical analysis of climate extremes. For a sample of independent and identically distributed observations, the parameters of the GPD can be estimated by the maximum likelihood (ML) method. In this paper, we drop the assumption of identically distributed random variables. We consider independent observations from GPD distributions ...
DOI:
10.1007/s00704-018-2546-x

8. An improved meta-Gaussian distribution model for post-processing of precipitation forecasts by censored maximum likelihood estimation

Author:
Li, Wentao; Duan, Qingyun; Ye, Aizhong; Miao, Chiyuan
Source:
Journal of hydrology 2019
ISSN:
0022-1694
Subject:
statistical analysis,   etc   ; hydrometeorology; models; watersheds; weather; China;     Show all 6 Subjects
Abstract:
... Statistical post-processing methods have been applied in hydrometeorological forecasting to correct the bias and spread error in raw forecasts. Among various post-processing methods, the meta-Gaussian distribution model (MGD) is one of the early successful methods for post-processing of precipitation forecasts and has been applied in the National Weather Service’s Hydrologic Ensemble Forecast Syst ...
DOI:
10.1016/j.jhydrol.2019.04.073

9. Bayesian analysis for mixture of latent variable hidden Markov models with multivariate longitudinal data

Author:
Xia, Ye-Mao; Tang, Nian-Sheng
Source:
Computational statistics & data analysis 2019 v.132 pp. 190-211
ISSN:
0167-9473
Subject:
statistical analysis,   etc   ; Bayesian theory; Markov chain; models;     Show all 4 Subjects
Abstract:
... Latent variable hidden Markov models (LVHMMs) are important statistical methods in exploring the possible heterogeneity of data and explaining the pattern of subjects moving from one group to another over time. Classic subject- and/or time-homogeneous assumptions on transition matrices in transition model as well as the emission distribution in the observed process may be inappropriate to interpre ...
DOI:
10.1016/j.csda.2018.08.004

10. The measurement of coevolution in the wild

Author:
Week, Bob; Nuismer, Scott L.
Source:
Ecology letters 2019 v.22 no.4 pp. 717-725
ISSN:
1461-023X
Subject:
statistical analysis,   etc   ; coevolution; models; phenotype; sexual reproduction;     Show all 5 Subjects
Abstract:
... Coevolution has long been thought to drive the exaggeration of traits, promote major evolutionary transitions such as the evolution of sexual reproduction and influence epidemiological dynamics. Despite coevolution’s long suspected importance, we have yet to develop a quantitative understanding of its strength and prevalence because we lack generally applicable statistical methods that yield numer ...
DOI:
10.1111/ele.13231

11. Selection of Landsat8 Image Classification Bands Based on MLC–RFE

Author:
Liu, Huaipeng; Zhang, Yongxin
Source:
Journal of the Indian Society of Remote Sensing 2019 v.47 no.3 pp. 439-446
ISSN:
0255-660X
Subject:
statistical analysis,   etc   ; information sources; remote sensing;     Show all 3 Subjects
Abstract:
... In remote sensing image classifications, a reasonable selection of bands can help improve classification accuracy. At present, problems occur in artificial subjective selection of bands in image classifications, thereby resulting in ineffective expression of classification accuracy. In this study, 10 bands of Landsat8 fusion data were used as information sources, and recursive feature elimination ...
DOI:
10.1007/s12524-018-0932-6

12. Analysis of spliceosome dynamics by maximum likelihood fitting of dwell time distributions

Author:
Kaur, Harpreet; Jamalidinan, Fatemehsadat; Condon, Samson G.F.; Senes, Alessandro; Hoskins, Aaron A.
Source:
Methods 2019 v.153 pp. 13-21
ISSN:
1046-2023
Subject:
statistical analysis,   etc   ; computer software; kinetics; spliceosomes;     Show all 4 Subjects
Abstract:
... Colocalization single-molecule methods can provide a wealth of information concerning the ordering and dynamics of biomolecule assembly. These have been used extensively to study the pathways of spliceosome assembly in vitro. Key to these experiments is the measurement of binding times—either the dwell times of a multi-molecular interaction or times in between binding events. By analyzing hundreds ...
DOI:
10.1016/j.ymeth.2018.11.014

13. Reliability and applicability of the Krumbein-Sloss chart for estimating geomechanical properties in sands

Author:
Kim, Yejin; Suh, Hyoung Suk; Yun, Tae Sup
Source:
Engineering geology 2019 v.248 pp. 117-123
ISSN:
0013-7952
Subject:
statistical analysis,   etc   ; microscopy; questionnaires; sand; surveys;     Show all 5 Subjects
Abstract:
... This paper describes the reliability of the Krumbein-Sloss chart in estimating the particle shape parameter. Despite its simplicity and subjectivity in choosing roundness and sphericity, its applicability has not yet been completely validated. We compare the computed shape parameters of four different sands from 2D microscopic images with estimated values from the chart by a questionnaire study. T ...
DOI:
10.1016/j.enggeo.2018.11.001

14. Simulation-Based Bias Correction Methods for Complex Models

Author:
Guerrier, Stéphane; Dupuis-Lozeron, Elise; Ma, Yanyuan; Victoria-Feser, Maria-Pia
Source:
Journal of the American Statistical Association 2019 v.114 no.525 pp. 146-157
ISSN:
1537-274X
Subject:
statistical analysis,   etc   ; algorithms; equations; models; system optimization;     Show all 5 Subjects
Abstract:
... Along with the ever increasing data size and model complexity, an important challenge frequently encountered in constructing new estimators or in implementing a classical one such as the maximum likelihood estimator, is the computational aspect of the estimation procedure. To carry out estimation, approximate methods such as pseudo-likelihood functions or approximated estimating equations are incr ...
DOI:
10.1080/01621459.2017.1380031

15. Transient dispersion of an initial point pollutant concentration in wetland flows

Author:
Wang, Ping; Zeng, Li; Huai, Wenxin
Source:
Environmental science and pollution research international 2018 v.25 no.34 pp. 34414-34425
ISSN:
0944-1344
Subject:
statistical analysis,   etc   ; pollutants; wetlands;     Show all 3 Subjects
Abstract:
... Initial point pollutant transport in wetland flows acts as a typical form in various applications. Accurate determination of the basic characteristics for dispersion fundamentally supports the predication of pollutant transport especially in the transient stage. This work analytically studies the transient dispersion of an initial point pollutant concentration in wetland flows through the phase av ...
DOI:
10.1007/s11356-018-3376-1

16. A study of the factors influencing the occurrence of landslides in the Wushan area

Author:
Xu, Chenchen; Sun, Qiang; Yang, Xiuyuan
Source:
Environmental earth sciences 2018 v.77 no.11 pp. 406
ISSN:
1866-6280
Subject:
statistical analysis,   etc   ; landslides; China;     Show all 3 Subjects
Abstract:
... Due to the complex natural geological conditions, many slope-related geological hazards occur in the Three Gorges Reservoir area in China. This study focuses on the characteristics of landslide development and their underlying mechanisms in this area. A statistical analysis is conducted to determine the characteristics of landslide development in the Wushan area, including the landslide distributi ...
DOI:
10.1007/s12665-018-7584-2

17. Efficiency of two sample tests via the restricted mean survival time for analyzing event time observations

Author:
Tian, Lu; Fu, Haoda; Ruberg, Stephen J.; Uno, Hajime; Wei, Lee‐Jen
Source:
Biometrics 2018 v.74 no.2 pp. 694-702
ISSN:
0006-341X
Subject:
statistical analysis,   etc   ; biometry; models;     Show all 3 Subjects
Abstract:
... In comparing two treatments with the event time observations, the hazard ratio (HR) estimate is routinely used to quantify the treatment difference. However, this model dependent estimate may be difficult to interpret clinically especially when the proportional hazards (PH) assumption is violated. An alternative estimation procedure for treatment efficacy based on the restricted means survival tim ...
DOI:
10.1111/biom.12770

18. On defining a unique phylogenetic tree with homoplastic characters

Author:
Goloboff, Pablo A.; Wilkinson, Mark
Source:
Molecular phylogenetics and evolution 2018 v.122 pp. 95-101
ISSN:
1055-7903
Subject:
statistical analysis,   etc   ; algorithms; phylogeny;     Show all 3 Subjects
Abstract:
... This paper discusses the problem of whether creating a matrix with all the character state combinations that have a fixed number of steps (or extra steps) on a given tree T, produces the same tree T when analyzed with maximum parsimony or maximum likelihood. Exhaustive enumeration of cases up to 20 taxa for binary characters, and up to 12 taxa for 4-state characters, shows that the same tree is re ...
DOI:
10.1016/j.ympev.2018.01.020

19. Robust maximum entropy test for GARCH models based on a minimum density power divergence estimator

Author:
Kim, Byungsoo
Source:
Economics letters 2018 v.162 pp. 93-97
ISSN:
0165-1765
Subject:
statistical analysis,   etc   ; economics; models;     Show all 3 Subjects
Abstract:
... The maximum entropy test, as designed for examining goodness-of-fit with a non-robust estimator such as the maximum likelihood estimator, can suffer from severe size distortions when the data are contaminated by outliers. The objective of this study is to develop a robust maximum entropy test for the normality of GARCH models. We construct the test statistic based on the minimum density power dive ...
DOI:
10.1016/j.econlet.2017.11.003

20. Baseline model based structural health monitoring method under varying environment

Author:
Zhao, Xueyan; Lang, Ziqiang
Source:
Renewable energy 2019 v.138 pp. 1166-1175
ISSN:
0960-1481
Subject:
statistical analysis,   etc   ; models; monitoring; renewable energy sources; wind turbines;     Show all 5 Subjects
Abstract:
... Environment has significant impacts on the structure performance and will change features of sensor measurements on the monitored structure. The effect of varying environment needs to be considered and eliminated while conducting structural health monitoring. In order to achieve this purpose, a baseline model based structural health monitoring method is proposed in this paper. The relationship bet ...
DOI:
10.1016/j.renene.2019.02.007