Results 41 to 50 of about 143 (127)

INFERENCES DRAWN ON COMMON SCALE PARAMETER OF TWO POPULATIONS USING RAINFALL DATA [PDF]

open access: yesProceedings on Engineering Sciences
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

A Sensitivity Analysis Workflow for Power Series Compounded Lifetime Models: Evidence From Weibull Power Series Fits

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT We propose a practical procedure to quantify the time varying influence of parameters on hazard functions for power series compounded lifetime models. The procedure combines likelihood based fitting with a two stage sensitivity analysis and applies to a range of baselines and compounding laws.
Yuancheng Si, Saralees Nadarajah
wiley   +1 more source

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

open access: yesStatistics 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   +3 more
openaire   +1 more source

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

open access: yesVeterinary 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

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

open access: yes, 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   +3 more
core  

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

open access: yes, 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   +2 more
core   +1 more source

A tutorial on Bayesian model averaging for exponential random graph models

open access: yesBritish 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

Bayes estimators for the parameters of truncated Campbell distribution using Lindley's approximation

open access: yesStatistics, Optimization & Information Computing
In this research, the Campbell distribution (maximum value) was truncated by deleting a part of the distribution domain so that the distribution function maintains its probability properties, to obtain the truncated Campbell distribution (maximum value) (TC).
Najm Abed Oleiwi   +2 more
openaire   +1 more source

A Bayes factor framework for unified parameter estimation and hypothesis testing

open access: yesBritish 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

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

open access: yes, 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   +2 more
core  

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