Results 101 to 110 of about 16,245 (243)

Development and Release of the Munich UICC Staging Tool (MUST): Advancing UICC Staging in Real‐World Data With Insights From Pancreatic and Stomach Cancer

International Journal of Cancer, EarlyView.
Accurate cancer staging is essential for cancer research and treatment evaluation. However, real‐world data often include incomplete or inconsistent UICC staging classifications. The presented Munich UICC Staging Tool (MUST) automates UICC stage derivation from TNM classifications and tumor characteristics, incorporating novel real‐world data rules to ...
Brigitte Kühnel, Sophie Schneiderbauer, Sebastian Lange, Dirk Wilhelm, Helmut Friess, Marcus Feith, Ursula Ehmer, Florian Bassermann, Julian W. Holch, Stefan M. Munker, Jens Neumann, Jens Werner, Hubert J. Stein, Theres Fey, Ulrich Mansmann, Hana Algül, Karin Berger‐Thürmel, H. Carlo Maurer, Daniel Nasseh   +18 more
wiley   +1 more source

Insider Ownership and Investment Efficiency

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study examines the relationship between insider ownership and investment efficiency in Indian publicly listed firms, utilising panel data spanning 2001 to 2015. It explores how agency conflicts contribute to suboptimal capital investment decisions. Our analysis reveals that increased insider ownership is associated with reduced investment
Bibek Bhatta
wiley   +1 more source

An Investigation of the Relationship Between Central Bank Unconventional Monetary Policy and Bitcoin Activity

International Journal of Finance &Economics, EarlyView.
ABSTRACT This article investigates whether the unconventional monetary policy (UMP) measures pursued by the Federal Reserve, the Bank of England, the Bank of Japan, and the European Central Bank since the Global Financial Crisis (GFC) are associated with an appetite for cryptocurrency.
Niamh Wylie, Martha O'Hagan‐Luff
wiley   +1 more source

Comparative Study of Image Denoising Using Wavelet Transforms and Optimal Threshold and Neighbouring Window

مجلة كلية التربية للبنات, 2019
NeighShrink is an efficient image denoising algorithm based on the discrete wavelet transform (DWT). Its disadvantage is to use a suboptimal universal threshold and identical neighbouring window size in all wavelet subbands.
ايمان محمد جعفر علوان
doaj  

Statistical inference based on score functions of distribution

Research in Statistics
In recent decades, a number of articles have appeared expanding and applying the basic framework of Stein’s method for estimating parameters by minimizing the distance between the score function of the data and of the model.
Zdeněk Fabián
doaj   +1 more source

Industry Portfolio Volatility Connections and Industry Portfolio Returns

International Journal of Finance &Economics, EarlyView.
ABSTRACT This paper tracks dynamic connections that form among daily US industry portfolio return volatilities using a Bayesian time‐varying parameter VAR model. Market participants often focus on sectors to filter vast amounts of information, and this focus results in cross‐industry return predictability. We characterise connections that form over the
Michael Ellington, Michalis Stamatogiannis, Yawen Zheng   +2 more
wiley   +1 more source

Integrating Wavelet Shrinkage with SURE and Minimax Thresholding to Enhance Maximum Likelihood Estimation for Gamma-Distributed Data

المجلة العراقية للعلوم الاحصائية
This paper uses the Maximum Likelihood Estimation method to investigate the impact of data contamination on the accuracy of parameter estimation for the Gamma distribution. A de-noising approach based on wavelet shrinkage has been proposed to address the
Hutheyfa Hazem Taha, Taha Hussein Ali, Heyam Hayawi   +2 more
doaj   +1 more source

Period poverty, housing and food insecurity, and mental health among college students in Hawaiʻi

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To assess the prevalence and associations between period poverty and depressive symptoms among college students with food and/or housing insecurity in the University of Hawaiʻi system. Period poverty is an important public health concern within the USA and has been linked with poor mental health among university students in prior ...
Samantha Kanselaar, Nikki‐Ann Yee, Areej Khan, Aleksandra Stein, Jhumka Gupta   +4 more
wiley   +1 more source

Empirical Bayes Estimators for Mean Parameter of Exponential Distribution with Conjugate Inverse Gamma Prior Under Stein’s Loss

Mathematics
A Bayes estimator for a mean parameter of an exponential distribution is calculated using Stein’s loss, which equally penalizes gross overestimation and underestimation.
Zheng Li, Ying-Ying Zhang, Ya-Guang Shi
doaj   +1 more source

Mixed‐mode membrane chromatography: mechanistic‐modeling‐based optimization and scale‐up of antibody charge variant separation using a novel membrane adsorber

Journal of Chemical Technology &Biotechnology, EarlyView.
Abstract BACKGROUND Efficient manufacturing of complex biopharmaceuticals increasingly relies on innovative downstream processing strategies. Membrane chromatography offers a promising alternative to resin‐based systems by enabling high‐throughput separations at elevated flow rates. Typically used in flow‐through mode, its industrial applications range
Jan Hedrich, Rita Steigmiller, Viktor Simaev, Romas Skudas, Michael Schulte, Mathias Hafner, Christian Frech   +6 more
wiley   +1 more source