Results 41 to 50 of about 146 (130)

Structural, Compositional, and Dielectric State Profiling in Label‐Free Single‐Cell Monitoring

Small Methods, EarlyView.
Label‐free single‐cell monitoring leverages distinct physical interactions to access structural, compositional, and dielectric states of cells, enabling non‐perturbative, repeatable, and information‐rich measurements across diverse biological contexts. This review organizes representative platforms by intrinsic state variables and connects measurement ...
Changi Baek, Youngho Song, Seongcheol Park, Sujin Hyung, Sang Eun Yoon, Yong Jae Shin, Soo‐Yeon Cho   +6 more
wiley   +1 more source

Extension of Jeffreys's prior estimate for Weibull censored data using Lindley's approximation [PDF]

, 2011
The Weibull distribution has attracted the attention of statisticians working on theory and methods as well as in various fields of applied statistics.
Arasan, Jayanthi, Ahmed, Al Omari Mohammed, Ibrahim, Noor Akma, Adam, Mohd Bakri   +3 more
core  

Classical and Bayesian inference for Burr type-III distribution based on progressive type-II hybrid censored data

, 2019
WOS: 000474392500001The aim of this paper is to discuss the estimation and prediction problems for the Burr type-III distribution under progressive type-II hybrid censored data. We obtained maximum likelihood estimators (MLEs) of unknown parameters using
Alma, Ozlem Gurunlu, Belaghi, Reza Arabi, Gamchi, Fatemeh Valizadeh   +2 more
core   +1 more source

Assessment of current colostrum feeding practices and passive transfer of immunity in dairy herds in Great Britain: A cross‐sectional study

Veterinary Record, EarlyView.
Abstract Background Updated targets for measuring transfer of passive immunity (TPI) at the herd level have been suggested, but the current performance of dairy herds in Great Britain is unknown. Methods A cross‐sectional study was performed. Serum total protein (STP) data collected between October 2022 and October 2023 by 21 veterinary practices were ...
George Lindley, Richard E. Booth, D. Claire Wathes, Nicola Blackie   +3 more
wiley   +1 more source

A tutorial on Bayesian model averaging for exponential random graph models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo, Jan‐Willem Simons, Haiyan Liu   +2 more
wiley   +1 more source

Bayesian estimation of two-parameters Rayleigh-logarithmic using Lindley approximation

, 2021
Rayleigh-Logarithmic distribution is used in survival analysis. The main objective of this study is to determine the best estimator for the parameters of this distribution.
Abd Rahman, Nur Haizum, Nazri, Fatin Syazwani, Zulkafli, Hani Syahida   +2 more
core  

A Bayes factor framework for unified parameter estimation and hypothesis testing

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley   +1 more source

LLM‐based prior elicitation for Bayesian graphical modeling

British Journal of Mathematical and Statistical Psychology, EarlyView.
ABSTRACT In the Bayesian graphical modeling framework, priors on network structure encode theoretical assumptions and uncertainty about the topology of psychological constructs under study. For instance, the Bernoulli prior specifies the probability of each pairwise interaction, the Beta–Bernoulli prior governs expected network density, and the ...
Nikola Sekulovski, Meike Waaijers, Giuseppe Arena   +2 more
wiley   +1 more source

Bayesian Estimation Under Various Loss Functions With Application to the Odd Kappa–Exponential Distribution

Journal of Probability and Statistics
This work examines Bayesian estimations of the reliability function and the parameters of the Odd Kappa–Exponential distribution using different symmetric and asymmetric loss functions.
Ali A. Al-Shomrani
doaj   +1 more source

BAYES ESTIMATOR OF GENERALIZEDEXPONENTIAL PARAMETERS UNDER GENERAL ENTROPYOSS FUNCTION USING LINDLEY’S APPROXIMATION

Statistics in Transition new series, 2009
In this paper, we have obtained the Bayes Estimator of scale and shape parameter of Generalized-Exponential using Lindley’s approximation (L-approximation) under GENERAL ENTROPY loss functions. The proposed estimators have been compared with the corresponding MLE for their risks based on simulated samples from the Generalized-Exponential distribution.
Rahul Singh, S.K. Singh, Umesh Singh, G.P. Singh   +3 more
openaire   +1 more source