Results 61 to 70 of about 3,294,315 (307)
Statistical Inference for some Robust Regression Estimators [PDF]
Maǧallaẗ Al-Buḥūṯ Al-Tiǧāriyyaẗ, 2016 The method of least squares of the most commonly used methods for estimating the parameters of linear regression models,this method requires the availability of several assumptions for the capabilities more efficiently.
مشيرة عادل سليمان الأعصر
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Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
Statistical Inference for Generalized log Burr Distribution [PDF]
The Egyptian Statistical Journal, 1999 In this article, statistical inference for the generalized log Burr type-XII distribution is considered. Reparametrizing the generalized log Burr type XII distribution gives a location-scale model.
M Abdelhafez
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Statistical Science, 1993 The three main points of this article are: 1. Quantum mechanical data differ from conventional data: for example, joint distributions usually cannot be defined conventionally; 2. rigorous methods have been developed for analyzing such data; the methods often use quantum-consistent analogs of classical statistical procedures; 3.
Malley, James D., Hornstein, John
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Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
QInfer: Statistical inference software for quantum applications [PDF]
Quantum, 2017 Characterizing quantum systems through experimental data is critical to applications as diverse as metrology and quantum computing. Analyzing this experimental data in a robust and reproducible manner is made challenging, however, by the lack of readily ...
Christopher Granade +7 more
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Statistical Inference in Evolutionary Dynamics
SSRN Electronic Journal, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ryoji Sawa, Jiabin Wu
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Molecular Oncology, EarlyView.Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller +10 more
wiley +1 more source
, 2023 In the 1930s, Psychologists began developing Multiple-Factor Analysis to decompose multivariate data into a small number of interpretable factors without any a priori knowledge about those factors.
Yang, Dan +3 more
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Principles for statistical inference
Revista de la Facultad de Ciencias de la Salud, 2015 To attend the first purpose of medical research, the selection of appropriate statistical method, this review described the statistical inference and the principles for the selection of statistical test: first, synthesize measurements on a limited number
Valeria Camila Restrepo-Arias +1 more
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