Results 171 to 180 of about 10,070 (217)

Dental Treatment in Children under General Anesthesia: A 24-year Retrospective Study. [PDF]

Int J Clin Pediatr Dent
Shayegan A, Makanz VM, Abergel C.
europepmc   +1 more source

A 3.5-fold increase in the synchrony of extreme precipitation and temperature events across China from 1930 to 2022. [PDF]

Sci Rep
Yu B, Li J, Shang S.
europepmc   +1 more source

Snow cover detection using remote sensing techniques over different climate zones of Türkiye. [PDF]

Sci Rep
Çakir G, Bozali N, Sivrikaya F.
europepmc   +1 more source

Detecting anthropogenically induced changes in extreme and seasonal evapotranspiration observations. [PDF]

Nat Commun
Egli M, Sippel S, Knutti R, Humphrey V.
europepmc   +1 more source

Inequality in the Distribution and Utilization of Healthcare Resources in Kazakhstan (2002-2023): A Spatiotemporal Analysis. [PDF]

Int J Environ Res Public Health
Shaltynov A, Abenova M, Baibussinova A, Semenova Y, Omarov N, Tanatarova G, Sepbossynova A, Rocha J.   +7 more
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Spatiotemporal Impacts of Forest Fires on Mountain Vegetation: A Case Study From Langtang National Park, Nepal Himalaya. [PDF]

Ecol Evol
Pokhrel S, Thakuri S, Subedi CK, Kunwar RM, Sharma KP, Chaudhary RP, Ghimire SK.   +6 more
europepmc   +1 more source

Response characteristics of near-surface air temperature to soil moisture across different climate zones in china. [PDF]

iScience
Lan L, Wang Z, He F.
europepmc   +1 more source

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A modified Mann-Kendall trend test for autocorrelated data

Journal of Hydrology, 1998
One of the commonly used tools for detecting changes in climatic and hydrologic time series is trend analysis. A number of statistical tests exist to assess the significance of trends in time series. One of the commonly used non-parametric trend tests is the Mann-Kendall trend test.
Khaled H. Hamed, A. Ramachandra Rao
openaire   +1 more source

Block bootstrap for Mann–Kendall trend test of serially dependent data

Hydrological Processes, 2012
AbstractMann–Kendall (MK) test for trend detection must be modified when the data are serially correlated, to prevent the detection of false trends. Various approaches are developed for this purpose, such as prewhitening, trend‐free prewhitening, variance correction and block bootstrap. Each method has its own Type I and Type II errors.
Bihrat Önöz, Mehmetcik Bayazit
openaire   +1 more source