Results 41 to 50 of about 144,075 (292)

Interval shrinkage estimation of two-parameter exponential distribution with random censored data [PDF]

Journal of Mahani Mathematical Research
The use of the two-parameter exponential distribution model in fitting survival and reliability analysis data in the presence of censored random data has recently attracted the attention of a large number of authors.
Ali Soori, Parviz Nasiri, Mehdi Jabbari Nooghabi, Farshin Hormozinejad, Mohammadreza Ghalani   +4 more
doaj   +1 more source

Global, Parameterwise and Joint Shrinkage Factor Estimation

Journal of Statistical Software, 2016
The predictive value of a statistical model can often be improved by applying shrinkage methods. This can be achieved, e.g., by regularized regression or empirical Bayes approaches. Various types of shrinkage factors can also be estimated after a maximum
Daniela Dunkler, Willi Sauerbrei, Georg Heinze   +2 more
doaj   +1 more source

Shrinkage Estimation of Linear Regression Models with GARCH Errors [PDF]

Journal of Statistical Theory and Applications (JSTA), 2016
This paper introduces shrinkage estimators for the parameter vector of a linear regression model with con- ditionally heteroscedastic errors such as the class of generalized autoregressive conditional heteroscedastic (GARCH) errors when some of the ...
S. Hossain, M. Ghahramani
doaj   +1 more source

Survival for Children Diagnosed With Wilms Tumour (2012–2022) Registered in the UK and Ireland Improving Population Outcomes for Renal Tumours of Childhood (IMPORT) Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga, Angela Lopez‐Cortes, Reem Al‐Saadi, Suzanne Tugnait, Kristina Dzhuma, Catriona Duncan, Gordan Vujanic, Tanzina Chowdhury, Claudia Allemani, Michel P. Coleman, Kathy Pritchard‐Jones, the Children's Cancer and Leukaemia Group (CCLG) Renal Tumour Special Interest Group, Hugh Bishop, Anthony McCarthy, Pamela Kearns, Helen Rees, Amos Burke, Meriel Jenney, Jane Pears, Hamish Wallace, Milind Ronghe, Tanzina Chowdhury, Susan Picton, Emma Ross, Lisa Howell, Bernadette Brennan, Gail Halliday, Richard Grundy, Shaun Wilson, Sucheta Vaidya, Daniel Yeomanson, Jessica Bate, Vesna Pavasovic, Jessica Bate, Sabine Irtan, Jesper Brok, Minou Oostveen, Kristina Dzhuma, Mark Weeks, Richard Williams, Mark Powis, Max Pachl, Bruce Okoye, Naima Smeulders, Gordan Vujanic, Oystein Olsen, Tom Watson, Susan Shelmerdine, Dan Saunders, Angela Lopez-Cortes, Taryn Treger, Tom Jackson, Suzanne Tugnait, Lisa Howell, Tanzina Chowdhury, Sam Behjati, Angela Polanco   +56 more
wiley   +1 more source

Minimax Multiple Shrinkage Estimation

The Annals of Statistics, 1986
A Stein estimator of the form \[ d_ v(Y)=Y-[(p-2)/\| Y-v\|^ 2](Y-v) \] shrinks Y towards a target \(v\in R^ p\). The paper proposes multiple shrinkage estimators (msest's) for cases where prior information suggests several different choices for the target.
openaire   +3 more sources

Spectrum Estimation: A Unified Framework for Covariance Matrix Estimation and PCA in Large Dimensions [PDF]

, 2013
Covariance matrix estimation and principal component analysis (PCA) are two cornerstones of multivariate analysis. Classic textbook solutions perform poorly when the dimension of the data is of a magnitude similar to the sample size, or even larger.
Ledoit, Olivier, Wolf, Michael
core   +1 more source

Clinical Characteristics and Prognostic Risk Factors for Pediatric B‐Cell Lymphoblastic Lymphoma: A Multicenter Retrospective Cohort Study for China Net Childhood Lymphoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background B‐cell lymphoblastic lymphoma (B‐LBL) represents a rare variety of non‐Hodgkin lymphoma, with limited research on its biology, progression, and management. Methods A retrospective analysis was performed on the clinical characteristics of 256 patients aged ≤18 years who received treatment under the China Net Childhood Lymphoma (CNCL)‐
Zhijuan Liu, Jian Wang, Ling Jin, Yanlong Duan, Fu Li, Yueping Jia, Leping Zhang, Xiaojun Yuan, Wei Liu, Ying Liu, Ansheng Liu, Mincui Zheng, Yunpeng Dai, Lian Jiang, Lirong Sun, Xiaowen Zhai, Rong Liu, Chunju Zhou, Zifen Gao, Yonghong Zhang, Xiaomei Yang   +20 more
wiley   +1 more source

Glycosylated LGALS3BP is highly secreted by bladder cancer cells and represents a novel urinary disease biomarker

Molecular Oncology, EarlyView.
Urinary LGALS3BP is elevated in bladder cancer patients compared to healthy controls as detected by the 1959 antibody–based ELISA. The antibody shows enhanced reactivity to the high‐mannose glycosylated variant secreted by cancer cells treated with kifunensine (KIF).
Asia Pece, Giulio Lovato, Ilaria Cela, Arianna Mercatelli, Benedetta Ferro, Jussi Nikkola, Sara Pagotto, Tommaso Grottola, Vincenzo De Laurenzi, Rossella Cicchetti, Antonio Marchetti, Luigi Schips, Rossano Lattanzio, Stefano Iacobelli, Emily Capone, Peter Black, Mads Daugaard, Michele Marchioni, Gianluca Sala   +18 more
wiley   +1 more source

Bayes Shrinkage Estimation of the Parameter of Rayleigh Distribution for Progressive Type-II Censored Data

Austrian Journal of Statistics, 2015
This paper derives Bayes shrinkage estimator of Rayleigh parameter and its associated risk based on conjugate prior under the assumption of general entropy loss function for progressive type-II censored data. Risk function of maximum likelihood estimate,
Sanku Dey, Tanujit Dey, Sudhansu S. Maiti   +2 more
doaj   +1 more source

Blind Deconvolution of Ultrasonic Signals Using High-Order Spectral Analysis and Wavelets

, 2005
Defect detection by ultrasonic method is limited by the pulse width. Resolution can be improved through a deconvolution process with a priori information of the pulse or by its estimation. In this paper a regularization of the Wiener filter using wavelet
A.V. Oppenhiem, D. Adam, D.L. Donoho, I. Daubechies, R. Neelamani, S. Wan, T. Taxt   +6 more
core   +1 more source