Results 71 to 80 of about 7,036,065 (293)
Parameter estimation by minimizing a probability generating function-based power divergence
, 2019 Generating function-based statistical inference is an attractive approach if the probability (density) function is complicated when compared with the generating function.
Ng, Choung Min +2 more
core +2 more sources
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
Estimation Methods of Theree Parameters Discrete Generalized Exponential [PDF]
Pakistan Journal of Commerce and Social Sciences, 2010 This article presents the estimation methods of three parameters Discrete Generalized Exponential distribution. The two-parameter generalized exponential distribution was introduced by Gupta and Kundu (1999).
M. Shuaib Khan, M. Aleem, Akbar Ali Shah
doaj
An alternative hyper-Poisson distribution
Statistica, 2013 An alternative form of hyper-Poisson distribution is introduced through its probability mass function and studies some of its important aspects such as mean, variance, expressions for its raw moments, factorial moments, probability generating function ...
C. Satheesh Kumar, B. Unnikrishnan Nair
doaj +1 more source
Molecular Oncology, EarlyView.Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +1 more source
Approximation of binomial probability function for a normal probability function
, 2014 Educação Superior::Ciências Exatas e da Terra::MatemáticaThe digital animation presents the approximation of the function of the binomial probability for a function of normal probability, also known as Gaussian distribution.
Rojo, Isabel Martín +3 more
core
Residual Probability Function for Dependent Lifetimes
, 2021 In this paper, the residual probability function is applied to analyze the survival probability of two used components relative to each other in the case when their lifetimes are dependent. The expression of the function by copulas has been derived along
Mohamed Kayid, Mhamed Mesfioui
core +1 more source
Molecular Oncology, EarlyView.Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq +8 more
wiley +1 more source
Poisson XRani Distribution: An Alternative Discrete Distribution for Overdispersed Count Data
International Journal of Mathematics and Mathematical SciencesIn this article, a one-parameter probability mass function called Poisson XRani is proposed by combining the Poisson and the XRani distributions. A wide range of distributional properties such as the shape of the probability mass function, probability ...
Seth Borbye +2 more
doaj +1 more source
Generating Augmented Quaternion Random Variable With Generalized Gaussian Distribution
IEEE Access, 2018 There is a need to generate quaternion valued processes with a given distribution ranging from super-Gaussian, Gaussian to sub-Gaussian with different degrees of properness for numerous practical applications, such as modeling the signal source, testing ...
Robert Krupinski
doaj +1 more source