Results 51 to 60 of about 720 (115)
Phantom distribution functions for some stationary sequences [PDF]
The notion of a phantom distribution function (phdf) was introduced by O'Brien (1987). We show that the existence of a phdf is a quite common phenomenon for stationary weakly dependent sequences.
Doukhan, Paul +2 more
core +4 more sources
Phloeosinus bark beetles may build up large populations in branch debris piles and stress giant sequoia trees. Covering debris piles with polyethylene sheeting increased the mean ambient temperature in piles and reduced beetle emergence. This was mediated by canopy structure, where ambient temperatures were further elevated under open canopies.
William R. Radecki, Thomas S. Davis
wiley +1 more source
Estimations on the Generalized Exponential Distribution Using Grouped Data [PDF]
Classical and Bayesian estimators are obtained for the shape parameter of the Generalized-Exponential distribution under grouped data. In Bayesian estimation, three types of loss functions are considered: the Squared Error loss function which is ...
Nasiri, Parviz, Pazira, Hassan
core +2 more sources
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
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
A study on Bayesian estimation of parameters of some well known distribution functions [PDF]
The thesis addresses the problem of estimation of parameters of some well known distribution functions. The problem of estimation of parameters of binomial, Poisson, normal and exponential distribution function has been considered.
Sahoo, S
core
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
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
Abstract In the present study, we extend a stochastic differential equation (SDE) model, the Ornstein–Uhlenbeck (OU) process, to the simultaneous analysis of time series of multiple variables by means of random effects for individuals and variables using a Bayesian framework.
José Ángel Martínez‐Huertas +1 more
wiley +1 more source
The Impact of Risk Exposure and Environmental Conditions on European Banking Efficiency
ABSTRACT This study investigates the determinants of bank cost efficiency in Europe by applying a dynamic Bayesian stochastic frontier approach. We distinguish between two conceptually and empirically separate components of efficiency: (1) an intrinsic component, driven by internal bank features such as size and risk exposure, and (2) an extrThis study
Pilar Gargallo +2 more
wiley +1 more source

