Cargando…

Spatial-temporal variation and impacts of drought in Xinjiang (Northwest China) during 1961–2015

Observations indicate that temperature and precipitation patterns changed dramatically in Xinjiang, northwestern China, between 1961 and 2015. Dramatic changes in climatic conditions can bring about adverse effects. Specifically, meteorological drought severity based on the standardized precipitatio...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yao, Junqiang, Zhao, Yong, Yu, Xiaojing
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	PeerJ Inc. 2018
Materias:	Statistics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5994336/ https://www.ncbi.nlm.nih.gov/pubmed/29892506 http://dx.doi.org/10.7717/peerj.4926

Ejemplares similares

Changes in precipitation amounts and extremes across Xinjiang (northwest China) and their connection to climate indices
por: Hu, Wenfeng, et al.
Publicado: (2021)

A new comprehensive approach for regional drought monitoring
por: Niaz, Rizwan, et al.
Publicado: (2022)

Spatio-temporal variations of the major meteorological disasters and its response to climate change in Henan Province during the past two millennia
por: Li, Xiang, et al.
Publicado: (2021)

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

A data integration framework for spatial interpolation of temperature observations using climate model data
por: Economou, Theo, et al.
Publicado: (2023)

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

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)

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)

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)

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)

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)

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

Spatio-Temporal Variations of Satellite-Based PM(2.5) Concentrations and Its Determinants in Xinjiang, Northwest of China
por: Wang, Wei, et al.
Publicado: (2020)

Temporal and spatial variability in snow cover over the Xinjiang Uygur Autonomous Region, China, from 2001 to 2015
por: Chen, Wenqian, et al.
Publicado: (2020)

Trend in Cancer Incidence and Mortality in Fukushima From 2008 Through 2015
por: Shibata, Akiko, et al.
Publicado: (2021)

Estimating spatially variable and density‐dependent survival using open‐population spatial capture–recapture models
por: Milleret, Cyril, et al.
Publicado: (2023)

Spatial and temporal variations of net ecosystem productivity in Xinjiang Autonomous Region, China based on remote sensing
por: Lu, Xiangjun, et al.
Publicado: (2023)

Practical Implications of the Update to the 2015 Japan Standard Population: Mortality Archive From 1950 to 2020 in Japan
por: Tanaka, Hirokazu, et al.
Publicado: (2023)

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

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

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)

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)

Common pitfalls in statistical analysis: The use of correlation techniques
por: Aggarwal, Rakesh, et al.
Publicado: (2016)

Common pitfalls in statistical analysis: Measures of agreement
por: Ranganathan, Priya, et al.
Publicado: (2017)

Common pitfalls in statistical analysis: Understanding the properties of diagnostic tests – Part 1
por: Ranganathan, Priya, et al.
Publicado: (2018)

Understanding diagnostic tests – Part 3: Receiver operating characteristic curves
por: Aggarwal, Rakesh, et al.
Publicado: (2018)

Understanding the properties of diagnostic tests – Part 2: Likelihood ratios
por: Ranganathan, Priya, et al.
Publicado: (2018)

Study designs: Part 1 – An overview and classification
por: Ranganathan, Priya, et al.
Publicado: (2018)

Splitting on categorical predictors in random forests
por: Wright, Marvin N., et al.
Publicado: (2019)

Study designs: Part 2 – Descriptive studies
por: Aggarwal, Rakesh, et al.
Publicado: (2019)

An improved framework to predict river flow time series data
por: Nazir, Hafiza Mamona, et al.
Publicado: (2019)

Study designs: Part 4 – Interventional studies
por: Aggarwal, Rakesh, et al.
Publicado: (2019)

Common pitfalls in statistical analysis: Logistic regression
por: Ranganathan, Priya, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_tkrv6292860r61tp4t1mr2an95