Results 81 to 90 of about 24,846,304 (299)

A Novel Online and Non-Parametric Approach for Drift Detection in Big Data

open access: yesIEEE Access, 2017
A sizable amount of current literature on online drift detection tools thrive on unrealistic parametric strictures such as normality or on non-parametric methods whose power performance is questionable.
Moinak Bhaduri   +3 more
doaj   +1 more source

Unlocking the potential of cell‐permeable nanobodies for intracellular applications

open access: yesFEBS Letters, EarlyView.
This review outlines current strategies for delivery of nanobodies into cells and highlights recent examples of functional applications. By addressing and manipulating intracellular targets, these molecules hold great potential for treating cancer, respiratory diseases and neurological disorders, making this a vibrant area of research in the biomedical
Mariona Gené‐Verdés   +2 more
wiley   +1 more source

[19] J. D. Gibson and M. L. Melsa, Introduction to Non-Parametric Detection

open access: yes, 2008
[16] H. V. Poor and M. Tanda, “Multiuser detection in impulsive channels,” Ann. Telecommun., vol. 54, pp. 392–400, Jul./Aug. 1999. [17] P. J. Huber, Robust Statistics. New York: Wiley, 1981. [18] B. Seyfe and A. R.
New York   +7 more
core  

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

open access: yesMolecular 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

Painful differences between different pain scale assessments: The outcome of assessed pain is a matter of the choices of scale and statistics

open access: yesScandinavian Journal of Pain
Perceived pain is a multi-factorial subjective variable, commonly measured by numeric rating scales, verbal descriptive scales (VDS), or by a position on an analogue line (VAS). A major question is whether an individual’s VAS and VDS pain assessments, on
Svensson Elisabeth, Lund Iréne
doaj   +1 more source

A Novel Statistical Test for Life Distribution Analysis: Assessing Exponentiality Against EBUCL Class with Applications in Sustainability and Reliability Data

open access: yesAxioms
A product’s lifespan may be ascertained by analyzing the dependability and aging class of its life distribution. Sustainability metrics are also crucial for assessing the impact on the environment and creating resource-saving strategies.
Walid B. H. Etman   +3 more
doaj   +1 more source

The Kernel Estimation in Biosystems Engineering [PDF]

open access: yesJournal of Systemics, Cybernetics and Informatics, 2008
In many fields of biosystems engineering, it is common to find works in which statistical information is analysed that violates the basic hypotheses necessary for the conventional forecasting methods.
Esperanza Ayuga Téllez   +4 more
doaj  

Parametric and Non-Parametric Statistical Methods in the Assessment of the Effect of Property Attributes on Prices

open access: yesReal Estate Management and Valuation, 2018
One of the basic problems in the comparison-based property valuation process is to determine the influence of property attributes on their price differential.
Gaca Radosław
doaj   +1 more source

Flow Enabled Target Capture Halbach‐based magnetic enrichment increases circulating tumor cell capture from blood in metastatic cancer patients

open access: yesMolecular Oncology, EarlyView.
Pair‐wise comparison of the CellSearch and FETCH enrichment technologies for circulating tumor cells (CTCs) from metastatic breast, prostate, and small cell lung cancer patients shows an increased capture of CTCs using FETCH enrichment. The clinical implementation of circulating tumor cells (CTCs) as a predictive tool for therapy efficacy in the ...
Michiel Stevens   +6 more
wiley   +1 more source

Improving Parametric Mortgage Prepayment Models with Non-parametric Kernel Regression [PDF]

open access: yes
Developing a good prepayment model is a central task in the valuation of mortgages and mortgage-backed securities but conventional parametric models often have bad out-of-sample predictive ability.
Michael Marschoun   +2 more
core  

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