Results 61 to 70 of about 84,668 (280)

Comparison the Robust Estimators Nonparametric of Nonparametric Regressions

Tikrit Journal of Pure Science, 2023
In order to get rid of or reduce the abnormal values ​​of some phenomena that may be the reason for not obtaining the desired results. This makes us to get conclusions far from reality for the phenomenon we are studying.
Ali Fadhil Abduljabbar, Afrah Mohammed Kadhim   +1 more
doaj   +1 more source

Extending the MAD Portfolio Optimization Model to Incorporate Downside Risk Aversion [PDF]

, 1998
The mathematical model of portfolio optimization is usually expected as a bicriteria optimization problem where a reasonable trade-off between expected rate of return risk is sought.
Michalowski, W., Ogryczak, W.
core  

APPLYING MEAN ABSOLUTE DEVIATION (MAD) FOR LATENCY BASED TRAFFIC ENGINEERING [PDF]

, 2021
Latency variation measurements are critical for low latency applications, as are often utilized for Third Generation Partnership Project (3GPP) Fifth Generation (5G) network environments.
Kumar, Praveen, Sood, Navdeep
core   +1 more source

Proteogenomic Characterization Reveals Subtype‐Specific Therapeutic Potential for HER2‐Low Breast Cancer

Advanced Science, EarlyView.
Multiomic profiling of HER2‐low breast cancer identifies three proteomic subtypes with distinct therapeutic strategies: endocrine, antiangiogenic, and anti‐HER2 therapies. Genomic and lactate modification landscapes are detailed, providing insights for precise management.
Shouping Xu, Keda Yu, Lei Liu, Qin Wang, Xiaohui Wu, Yihai Chen, Guozheng Li, Xin Zhang, Bo Wei, Zitong Fu, Abiyasi Nanding, Zuxianglan Zhao, Lingbing Yang, Xingda Zhang, Jianyu Wang, Wantong Sun, Yi Hao, Zhongyi Cheng, Xiaojiang Cui, Hao Wu, Da Pang   +20 more
wiley   +1 more source

Analisis Pemilihan Portofolio Optimal Dengan Model Dan Pengembangan Dari Portofolio Markowitz (Studi Pada Indeks Bisnis-27 Di Bursa Efek Indonesia Periode 2011 - 2013) [PDF]

, 2014
This research aims to determine compare and analyze an optimization portfolio selection developed by a variety of Markowitz portfolio model. Used in this optimal portfolio among others, Mean Variance (MV) Downside Deviation (DD) Mean Absolute Deviation ...
Ramadhan, R. D. (Rahadian)
core  

Portfolio selection models: A review and new directions [PDF]

, 2009
Modern Portfolio Theory (MPT) is based upon the classical Markowitz model which uses variance as a risk measure. A generalization of this approach leads to mean-risk models, in which a return distribution is characterized by the expected value of return (
Acerbi, Albrecht, Arditti, Artzner, BAWA, Bernoulli, Dentcheva, Dentcheva, Embrechts, Fama, Fishburn, Group of Thirty, Hadar, Jorion, Kaut, Konno, Konno, Kroll, Larsen, Lehmann, Leyffer, Mansini, Markowitz, Markowitz, Marshall, Morgan, Ogryczak, Ogryczak, Ortobelli, Perold, Pflug, Pratt, Quirk, Rockafellar, Rockafellar, Rockafellar, Rockafellar, Roman, Roman, Roy, Scott, Sharpe, Speranza, Tasche, Unser, von Neumann, Whitmore, Yamai, Yitzhaki   +48 more
core   +1 more source

Transparent Transfer‐Free Ultrasmall Multilayer Graphene Microelectrodes Enable High Quality Recordings in Brain Slices

Advanced Science, EarlyView.
A transfer‐free fabrication method enables multilayer graphene microelectrodes as small as 10 µm, eliminating reliability issues of manual graphene transfer. These electrodes record neural activity in brain slices with exceptional signal‐to‐noise ratios (up to 25–40 dB) while maintaining optical transparency for multimodal applications.
Nerea de Alvarez de Eulate, Christos Pavlou, Gonzalo León González, María Camarena Pérez, Lukas Holzapfel, Zhenyu Gao, Sten Vollebregt, Vasiliki Giagka   +7 more
wiley   +1 more source

Microscale Mapping of Fiber Strain and Damage in Composite Wrinkled Laminates Using Computed Tomography Assisted Wide‐Angle X‐Ray Scattering

Advanced Science, EarlyView.
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong, James Trevarthen, Igor Dolbnya, Wadwan Singhapong, Nicholas Pilato, Richard Butler, Jiraphant Srisuriyachot, Alexander J. G. Lunt   +7 more
wiley   +1 more source

Improved prediction of soil shear strength using machine learning algorithms: interpretability analysis using SHapley Additive exPlanations

Frontiers in Earth Science
The soil’s shear strength is an important parameter that is used frequently throughout the design phase of construction. The conventional method of calculating shear strength in a laboratory is more expensive and time-consuming.
Mahmood Ahmad, Mahmood Ahmad, Mohammad Al Zubi, Hamad Almujibah, Mohanad Muayad Sabri Sabri, Jawad Bashir Mustafvi, Shay Haq, Tariq Ouahbi, Abdullah Alzlfawi   +8 more
doaj   +1 more source

Training Methods for Image Noise Level Estimation on Wavelet Components

EURASIP Journal on Advances in Signal Processing, 2004
The estimation of the standard deviation of noise contaminating an image is a fundamental step in wavelet-based noise reduction techniques. The method widely used is based on the mean absolute deviation (MAD).
A. De Stefano, W. B. Collis, P. R. White   +2 more
doaj   +1 more source