Results 131 to 140 of about 138,862 (288)

Understanding cooperative membership and maize market participation in Rwanda: A Bayesian triple‐hurdle analysis

Annals of Public and Cooperative Economics, EarlyView.
Abstract Smallholder market participation studies often focus narrowly on selling decisions, overlooking the institutional role of agricultural cooperatives, particularly in contexts like Rwanda, where cooperatives underpin agricultural policy. Consequently, empirical evidence on how cooperative membership shapes farmers’ commercialization across ...
John N. Ng'ombe, Jules Ngango, Aristide Maniriho, Martinson Ankrah Twumasi   +3 more
wiley   +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

Conditional stability of a solution of a difference scheme for an ill-posed Cauchy problem

Electronic Journal of Differential Equations, 2018
In this article, we obtain criteria for stability of two-layer difference schemes for an abstract ill-posed Cauchy problem. Method of proof is based on obtaining a priori difference weighted Carleman type estimates.
Murat A. Sultanov, Musabek I. Akylbaev, Raskul Ibragimov   +2 more
doaj  

Cauchy Integrals and Spectral Measures [PDF]

Indiana University Mathematics Journal, 1972
Saeks, R., Goldstein, R. A.
openaire   +1 more source

A multilevel Ornstein–Uhlenbeck process with individual‐ and variable‐specific estimates as random effects

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, Emilio Ferrer   +1 more
wiley   +1 more source

From tetrachoric to kappa: How to assess reliability on binary scales

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Reliability is crucial in psychometrics, reflecting the extent to which a measurement instrument can discriminate between individuals or items. While classical test theory and intraclass correlation coefficients are well‐established for quantitative scales, estimating reliability for binary outcomes presents unique challenges due to their ...
Sophie Vanbelle
wiley   +1 more source

Extended Divergence-Measure Fields, the Gauss-Green Formula and Cauchy Fluxes. [PDF]

Arch Ration Mech Anal
Chen GG, Irving C, Torres M.
europepmc   +1 more source

Latent Poisson count models for action count data from technology‐enhanced assessments

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Recent advances in computerized assessments have enabled the use of innovative item formats (e.g., drag‐and‐drop, scenario‐based), necessitating a flexible model that can capture systematic influence of item types on action counts. In this study, we present a refinement scheme that can explicitly model common features of items and allows ...
Gregory Arbet, Hyeon‐Ah Kang
wiley   +1 more source

Fundamental Solutions to Fractional Heat Conduction in Two Joint Half-Lines Under Conditions of Nonperfect Thermal Contact. [PDF]

Entropy (Basel)
Povstenko Y, Kyrylych T, Dashkiiev V, Yatsko A.   +3 more
europepmc   +1 more source

Portrait of a Spectrum: Clinical and Genetic Characterization of a Large Cohort of Chromatinopathies—30 Years' Experience From a Third Level Center

Clinical Genetics, EarlyView.
Chromatinopathies (CP) are a growing group of rare genetic disorders characterized by cognitive deficits and growth abnormalities. This is the largest collection of CP to date, contributing to a deeper understanding of the landscape and diagnosis of these rare diseases, strongly improved by the use of large‐scale sequencing technologies.
Giulia Bruna Marchetti, Erica Rosina, Camilla Meossi, Michela Mura, Lidia Pezzani, Angelo Selicorni, Maria Francesca Bedeschi, Romano Tenconi, Carlo Agostoni, Palma Finelli, Sara De Matteis, Elisabetta Di Fede, Valentina Massa, Laura Pezzoli, Cristina Gervasini, Maria Iascone, Donatella Milani   +16 more
wiley   +1 more source