Results 101 to 110 of about 1,087,289 (305)

Applications of Multivariate Statistics in the Context of Life Cycle Assessment

Chemical Engineering Transactions, 2023
LCA is essential for achieving the European Green Deal's targets and supporting sustainable development. As LCA tools become more complex, multivariate statistics can offer valuable solutions.
Bianca Köck, Martin Elser, Bettina Mihalyi   +2 more
doaj  

Quality of water of a dam located in an agricultural area (Campo Verde, MT, Brazil)

Revista Ambiente & Água, 2012
In this study spatial and temporal variations in limnological characteristics of a dam located in one of the headwaters of the São Lourenço River (Campo Verde, MT) were evaluated.
Ricardo Santos Silva Amorim, Carolina Hortêncio Malheiros, Edna Lopes Hardoim, Zoraidy Marques de Lima   +3 more
doaj   +1 more source

multivariate statistics

, 2014
Citation: 'multivariate statistics' in the IUPAC Compendium of Chemical Terminology, 3rd ed.; International Union of Pure and Applied Chemistry; 2006. Online version 3.0.1, 2019. 10.1351/goldbook.MT06974 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms. Requests for
openaire   +1 more source

Reduction in Renal Relapse and Preservation of Long‐Term Kidney Function After Lupus Low Disease Activity in Patients With Lupus Nephritis

Arthritis Care &Research, EarlyView.
Objective Lupus low disease activity state (LLDAS) is a validated treatment target in systemic lupus erythematosus (SLE), but limited studies have explored the role of LLDAS in lupus nephritis (LN). This study aims to investigate the frequency and predictors of LLDAS attainment and its benefit on LN relapse and renal function preservation in patients ...
Chak Kwan Cheung, Desmond Y. H. Yap, Ka Lai Lee, Philip H. Li, Iris Y. K. Tang, Chak Sing Lau, Shirley C. W. Chan   +6 more
wiley   +1 more source

Exploring Types of Parent Attachment via the Clustering Modules of a New Free Statistical Software, ROP-R

Journal for Person-Oriented Research
The aim of the paper is threefold: (1) to demonstrate the rich repertoire of clustering capabilities of a ROPstat and R-based new and free software, called ROP-R, by illustrating several analyses with real psychological data; (2) to show how well ROP-R ...
András Vargha, Ferenc Grezsa
doaj   +1 more source

Reverse logistics for recycling: The customer service [PDF]

International Journal of Business Science and Applied Management, 2009
Customer service is a central concern in the logistics practice and a study topic in the forward logistics research. This article investigates the elements of customer service and their importance in reverse logistics for recycling. Since consumer is the
Reis, E., Menezes, J., Oom do Valle, P., Rebelo, E.   +3 more
doaj  

Inference robustness in multivariate models with a scale parameter [PDF]

We formulate a general representation of points z 2Regression Analysis;Multivariate Analysis;Statistical Distribution;Scaling ...
Fernández, C., Osiewalski, J., Steel, M.F.J.   +2 more
core   +1 more source

Development of a Personalized Visualization and Analysis Tool to Improve Clinical Care in Complex Multisystem Diseases With Application to Scleroderma

Arthritis Care &Research, EarlyView.
Objective In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently, and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of the trajectory of a ...
Ji Soo Kim, John Scott, Lauren Fisher, Lauren N. Smith, Willie Stewart, Adrianne Woods, Rob Smithwright, Diane Koher, Parastoo Aslanbeik, Aalok B. Shah, Brad Tibbils, Samantha I. Pitts, Ayse P. Gurses, Yushi Yang, Ana‐Maria Orbai, Antony Rosen, Laura K. Hummers, Scott L. Zeger, Ami A. Shah   +18 more
wiley   +1 more source

Modelling InSAR-derived hillslope velocities with multivariate statistics: A first attempt to generate interpretable predictions

, 2023
Kun He, Hakan Tanyaş, Ling Chang, Xiewen Hu, Gang Luo, Luigi Lombardo   +5 more
openalex   +1 more source

Hip Morphology–Based Osteoarthritis Risk Prediction Models: Development and External Validation Using Individual Participant Data From the World COACH Consortium

Arthritis Care &Research, EarlyView.
Objective This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the Worldwide Collaboration ...
Myrthe A. van den Berg, Fleur Boel, Michiel M. A. van Buuren, Noortje S. Riedstra, Jinchi Tang, Harbeer Ahedi, Nigel K. Arden, Sita M. A. Bierma‐Zeinstra, Cindy G. Boer, Flavia M. Cicuttini, Timothy F. Cootes, David T. Felson, Willem Paul Gielis, Joshua Heerey, Graeme Jones, Stefan Kluzek, Nancy E. Lane, Claudia Lindner, Joyce B. J. van Meurs, Andrea Mosler, Amanda E. Nelson, Michael C. Nevitt, Edwin H. Oei, Jos Runhaar, Harrie Weinans, Jesse H. Krijthe, Rintje Agricola   +26 more
wiley   +1 more source