Results 21 to 30 of about 20,478,118 (262)

Statistical Prediction of Typhoon-Induced Rainfall over China Using Historical Rainfall, Tracks, and Intensity of Typhoon in the Western North Pacific

open access: yesRemote Sensing, 2020
Typhoons or mature tropical cyclones (TCs) can affect inland areas of up to hundreds of kilometers with heavy rains and strong winds, along with landslides causing numerous casualties and property damage due to concentrated precipitation over short time ...
Jong-Suk Kim   +4 more
doaj   +1 more source

Predicting Wearing-Off of Parkinson’s Disease Patients Using a Wrist-Worn Fitness Tracker and a Smartphone: A Case Study

open access: yesApplied Sciences, 2021
Parkinson’s disease (PD) patients experience varying symptoms related to their illness. Therefore, each patient needs a tailored treatment program from their doctors. One approach is the use of anti-PD medicines.
John Noel Victorino   +3 more
doaj   +1 more source

Univariate Probability-G Classes for Scattered Samples under Different Forms of Hazard: Continuous and Discrete Version with Their Inferences Tests

open access: yesMathematics, 2023
In this paper, we define a new generator to propose continuous as well as discrete families (or classes) of distributions. This generator is used for the DAL model (acronym of the last names of the authors, Dimitrakopoulou, Adamidis, and Loukas).
Mohamed S. Eliwa   +5 more
doaj   +1 more source

Detection of Changes in Oil Well Power Consumption Profile on the Basis of Dynamic Time Warping Algorithm

open access: yesProceedings of the International Conference on Applied Innovations in IT, 2018
At present oil companies are forced to continually decrease electric power inputs. However, energy efficiency of oil well equipment decreases in time. Well re-equipment enables to stop energy efficiency loss but it requires large additional inputs.
Ivan Luzyanin, Anton Petrochenkov
doaj   +1 more source

Statistical Data-Driven Model for Hardness Prediction in Austempered Ductile Irons

open access: yesMetals, 2022
This research evaluates the effect of temperature and time austempering on microstructural characteristics and hardness of ductile iron, validating the results by means of a statistical method for hardness prediction.
Nelly Abigaíl Rodríguez-Rosales   +8 more
doaj   +1 more source

Electronic Dissemination of Statistical Data [PDF]

open access: yes
The Subcommittee on Electronic Dissemination of Statistical Data was formed in January 1994 to document the use in Federal statistical agencies of electronic means of disseminating data.
United States, Federal Committee on Statistical Methodology. Subcommittee on Electronic Dissemination of Statistical Data
core   +1 more source

For Geometric Inference from Images, What Kind of Statistical Model Is Necessary? [PDF]

open access: yes, 2002
In order to facilitate smooth communications with researchers in other fields including statistics, this paper investigates the meaning of "statistical methods" for geometric inference based on image feature points, We point out that statistical analysis
Kanatani, Kenichi
core   +1 more source

临床预测模型常用统计模型及其SAS实现

open access: yesZhongguo cuzhong zazhi
摘要: 临床预测模型在医学研究中的应用越来越广泛,欲达到良好的预测性能,选择正确的模型非常关键。对于预测模型类型的选择,预测结局的类型起着决定性作用。本文从数据类型的角度出发,将结局变量分为连续变量(正态分布、偏态分布)、分类变量(二分类、无序多分类、有序多分类)以及时间-事件变量(无竞争风险、有竞争风险),分别介绍不同类型结局变量的特点、对应的模型、建模案例以及SAS实现程序,以期为研究者构建预测模型提供参考。 Abstract: The application of clinical ...
杨凯璇,谷鸿秋
doaj   +1 more source

Bridging the Loneliness Gap: Depression, Connectivity, and Isolation in Pediatric Oncology Patients and Their Peers

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld   +5 more
wiley   +1 more source

Predicting Cervical Cancer Outcomes: Statistics, Images, and Machine Learning

open access: yesFrontiers in Artificial Intelligence, 2021
Cervical cancer is a very common and severe disease in women worldwide. Accurate prediction of its clinical outcomes will help adjust or optimize the treatment of cervical cancer and benefit the patients.
Wei Luo
doaj   +1 more source

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