Results 41 to 50 of about 363 (160)
INFERENCES DRAWN ON COMMON SCALE PARAMETER OF TWO POPULATIONS USING RAINFALL DATA [PDF]
This study investigates into the estimation of a common parameter across distinct probability distributions, including Weibull, Rayleigh, Gamma, and Lomax.
Vijay Kumar Lingutla +2 more
doaj +1 more source
In reliability and life testing experiments, obtaining complete data still consumes lots of time, financial and human supports. A censoring scheme which can have balance between the total testing time, the used number of units and cost in life tests is ...
Mazen Nassar, Saeed A. Dobbah
doaj +1 more source
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 +3 more
openaire +1 more source
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 +3 more
wiley +1 more source
A tutorial on Bayesian model averaging for exponential random graph models
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 +2 more
wiley +1 more source
A Class of Adaptive EM-based Importance Sampling Algorithms for Efficient and Robust Posterior and Predictive Simulation [PDF]
A class of adaptive sampling methods is introduced for efficient posterior and predictive simulation. The proposed methods are robust in the sense that they can handle target distributions that exhibit non-elliptical shapes such as multimodality and ...
Dijk, H.K. (Herman) van +2 more
core +3 more sources
A Bayes factor framework for unified parameter estimation and hypothesis testing
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
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 +2 more
wiley +1 more source
1165. Echinacea purpurea (L.) Moench
Summary Echinacea purpurea (L.) Moench (Compositae: Heliantheae: Zinniinae) is described and illustrated with a colour plate and black and white text figure. An introduction to the history of the appearance of this species in the Magazine appears in brief, together with comments on the treatment of the genus, and the available generic revisions.
Nicholas Hind +2 more
wiley +1 more source
Political Partisanship and State‐Level Bank Efficiency
ABSTRACT We examine the relationship between political partisanship and commercial bank efficiency in the United States from 1972 to 2020, assessing the persistent influence of political affiliations at the state and District of Columbia levels. Bank efficiency scores are estimated using a double‐bootstrap approach, and the analysis is conducted within
Jeremy Eng‐Tuck Cheah +3 more
wiley +1 more source

