Results 101 to 110 of about 56,994 (264)

REGRESI KUANTIL MEDIAN UNTUK MENGATASI HETEROSKEDASTISITAS PADA ANALISIS REGRESI

E-Jurnal Matematika, 2013
In regression analysis, the method used to estimate the parameters is Ordinary Least Squares (OLS). The principle of OLS is to minimize the sum of squares error. If any of the assumptions were not met, the results of the OLS estimates are no longer best,
IDA AYU PRASETYA UTHAMI, I KOMANG GDE SUKARSA, I PUTU EKA NILA KENCANA   +2 more
doaj   +1 more source

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone, Beatrice Cavina, Daniele Gaetano Sirico, Martina Mugnano, Vittorio Bianco, Lisa Miccio, Anna Myriam Perrone, Anna Maria Porcelli, Giuseppe Gasparre, Ivana Kurelac, Pasquale Memmolo, Pietro Ferraro   +11 more
wiley   +1 more source

Regression for Exploring Rainfall Pattern in Indramayu Regency

Jurnal Ilmu Dasar, 2012
Quantile regression is an important tool for conditional quantiles estimation of a response Y for a given vector of covariates X. It can be used to measure the effect of covariates not only in the center of a distribution, but also in the upper and lower
Anik Djuraidah, Aji Hamim Wigena
doaj  

Field‐Programable Dynamics in a Soft Magnetic Actuator Enabling True Random Number Generation and Reservoir Computing

Advanced Intelligent Systems, EarlyView.
Complex dynamics, often avoided in electromechanical design, can enhance soft robotics. We develop durable magnetic soft actuators operating in tunable dynamic regimes, enabling random number generation, stochastic computing, and time‐series prediction.
Eduardo Sergio Oliveros‐Mata, Oleksandr V. Pylypovskyi, Eleonora Raimondo, Rico Illing, Yevhen Zabila, Lin Guo, Guannan Mu, Mónica Navarro López, Xu Wang, Georgios Tzortzinis, Angelos Filippatos, Gilbert Santiago Cañón Bermúdez, Francesca Garescì, Giovanni Finocchio, Denys Makarov   +14 more
wiley   +1 more source

Housing as Asset‐Based Welfare in Australia: An Investigation Through a Consumption Lens

Australian Journal of Social Issues, EarlyView.
ABSTRACT Housing asset‐based welfare has long been a key component of Australia's social policy. This resonates with a parallel literature identifying a trade‐off between homeownership and the size of nations' welfare states, wherein owner‐occupiers in smaller welfare states tend to come to rely on housing wealth to meet many of their welfare needs ...
Gavin A. Wood, Christopher Phelps, Silvia Salazar, Rachel Ong ViforJ   +3 more
wiley   +1 more source

Normative data from linear and nonlinear quantile regression in CANTAB: Cognition in mid‐to‐late life in an epidemiological sample

Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 2019
Introduction Normative cognitive data can help to distinguish pathological decline from normal aging. This study presents normative data from the Cambridge Neuropsychological Test Automated Battery, using linear regression and nonlinear quantile ...
Rosemary A. Abbott, Caroline Skirrow, Martha Jokisch, Maarten Timmers, Johannes Streffer, Luc vanNueten, Michael Krams, Angela Winkler, Noreen Pundt, Pradeep J. Nathan, Philippa Rock, Francesca K. Cormack, Christian Weimar   +12 more
doaj   +1 more source

Multimorbidity and Associations with Cognition and Alzheimer's Disease Biomarkers

Annals of Neurology, EarlyView.
Objective Multimorbidity, the coexistence of 2 or more chronic conditions, has been linked to cognitive aging and Alzheimer's disease (AD) and AD‐related dementias, yet the mechanisms remain unclear. We aimed to examine the associations of multimorbidity with cognition and biomarkers across multiple mechanistic pathways.
Xiaqing Jiang, Sid E. O'Bryant, Robert A. Rissman, Leigh A. Johnson, Meredith N. Braskie, Kristine Yaffe, the HABS‐HD Study Team, Sid E. O'Bryant, Kristine Yaffe, Arthur Toga, Robert Rissman, Leigh Johnson, Meredith Braskie, Kevin King, James R. Hall, Melissa Petersen, Raymond Palmer, Robert Barber, Yonggang Shi, Fan Zhang, Rajesh Nandy, Roderick McColl, David Mason, Bradley Christian, Nicole Phillips, Stephanie Large, Joe Lee, Badri Vardarajan, Monica Rivera Mindt, Amrita Cheema, Lisa Barnes, Mark Mapstone, Annie Cohen, Amy Kind, Ozioma Okonkwo, Raul Vintimilla, Zhengyang Zhou, Michael Donohue, Rema Raman, Matthew Borzage, Michelle Mielke, Beau Ances, Ganesh Babulal, Jorge Llibre‐Guerra, Carl Hill, Rocky Vig   +45 more
wiley   +1 more source

Tangent Exponentiated Odd Log-Logistic Weibull Quantile Regression with Applications to Complete and Censored Data [PDF]

The Egyptian Statistical Journal
A contemporary quantile regression model is formulated utilizing the tan exponentiated odd log-logistic Weibull distribution proposed in this study. The novel regression model is capable of modeling both complete and censored data, making it desirable ...
Mohammed Hashim Mustpha, Dioggban Jakperik, Suleman Nasiru   +2 more
doaj   +1 more source

Per‐ and Polyfluoroalkyl Substances and Knee Osteoarthritis: Data From the Osteoarthritis Initiative

Arthritis &Rheumatology, EarlyView.
Objective To examine whether concentrations of specific per‐ and polyfluoroalkyl substances (PFAS) and a mixture of PFAS relate to incident knee osteoarthritis (KOA) and knee pain progression. Methods Among a case‐cohort sample from the OA Initiative (n = 1,878), we examined associations of serum concentrations of eight PFAS with odds of developing ...
Jeffrey B. Driban, Lisa B. Rokoff, Bing Lu, Timothy E. McAlindon, Charles B. Eaton, Mary B. Roberts, Diana Mathes, Colleen Lestician, Zhijin Carrie Xu, Zhihua Tina Fan, Shawn P. O'Leary, Ida K. Haugen, Jérémie Sellam, Alice Courties, Abby F. Fleisch   +14 more
wiley   +1 more source

Fine Particulate Matter Constituents, Ozone, and Systemic Lupus Erythematosus: A Large General‐Population Cohort Analysis With Extended Quantile g‐Computation

Arthritis &Rheumatology, EarlyView.
Objective The aim of this study was to investigate whether exposure to mixture of individual fine particulate matter (PM2.5) chemical constituents is associated with incident systemic lupus erythematosus (SLE) and if ozone modifies this association and/or is associated with SLE onset.
Naizhuo Zhao, Sasha Bernatsky, Sharon Dowell, Brittany Banbury, Jeffrey R. Curtis, Grace C. Wright, Emily E. Holladay, Amy Mudano, Cristiano S. Moura, Gail S. Kerr   +9 more
wiley   +1 more source