Results 51 to 60 of about 162 (143)
Bayesian Approximation Techniques for Kumaraswamy Distribution [PDF]
, 2015 The present study is concerned with the estimation of shape parameter of Kumaraswamy Distribution using various Bayesian approximation techniques like normal approximation, Lindley’s Approximation, Tierney and Kadane (T-K) Approximation.
Hummara Sultan +3 more
core +1 more source
The Inverse Weibull Distribution as a Failure Model Under Various Loss Functions and Based on Progressive First-Failure Censored Data [PDF]
, 2015 In this article we consider statistical inferences about the unknown parameters of the inverse Weibull distribution based on progressively first-failure censoring using Bayesian procedures.
Samawi, Hani, Helu, Amal
core +1 more source
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 +3 more
wiley +1 more source
Lindley Approximation Technique for the Parameters of Lomax Distribution [PDF]
, 2017 The present study is concerned with the estimation of shape and scale parameter of Lomax distribution using Bayesian approximation techniques (Lindley’s Approximation).
Ahmad, Afaq, Fatima, Kawsar, Ahmad, S.P.
core +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 +2 more
wiley +1 more source
(R2027) A New Class of Pareto Distribution: Estimation and its Applications [PDF]
, 2023 The classical Pareto distribution is a positively skewed and right heavy-tailed lifetime distribution having a lot many applications in various fields of science and social science. In this work, via logarithmic trans-formed method, a new three parameter
Aniyan, Anitta Susan, George, Dais
core +1 more source
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
Survival and Hazard Estimation of Weibull Distribution Based on Interval Censored Data [PDF]
, 2014 This paper describes the Maximum Likelihood Estimator and the Bayesian using gamma prior Estimator of the Weibull distribution based on interval censored data.
AHMED, AL OMARI MOHAMMED
core +1 more source
IEEE Access, 2020 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
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 +2 more
wiley +1 more source