Results 61 to 70 of about 946,554 (172)
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
Predicting potential Arctic kelp distribution and lower‐depth biomass from seafloor irradiance
Limnology and Oceanography: Methods, EarlyView.Abstract Kelps have an extensive distribution in Arctic coastal waters. However, quantifying their role in the Arctic food web and carbon cycle is challenged by the scarcity of documented geographical distribution, standing stocks and production. Here we present a framework based on an empirical function to predict the potential kelp distribution and ...
Laura Castro de la Guardia +13 more
wiley +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
The knowledge content of statistical data [PDF]
, 2018 An information-theoretic framework is used to analyze the knowledge content in multivariate cross classified data. Several related measures based directly on the information concept are proposed: the knowledge content (S) of a cross classification, its ...
Preuss, Lucien, Vorkauf, Helmut
core
Agricultural and Forest Entomology, EarlyView.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
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
Using Cauchy Distribution To Estimate Survival Function [PDF]
, 2021 This paper intends to estimate the unlabeled two parameters for Cauchy distribution model depend on employing the maximum likelihood estimator method to obtain the derivation of the point estimators for all unlabeled parameters depending on ...
Kadhim Al Bderi, Hind Jawad
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
Bayesian statistical inference of loglogistic model with interval-censored lifetime data [PDF]
, 2015 The properties of Palm Oil (PO) and Coconut Oil (CO) offer the potential for transformers Interval-censored data arise when a failure time say, T cannot be observed directly but can only be determined to lie in an interval obtained from a series of ...
Bosomprah, Samuel +3 more
core
British Journal of Mathematical and Statistical Psychology, EarlyView.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