Results 21 to 30 of about 175,990 (247)

The Development of Web-based Graphical User Interface for Learning and Fitting Generalized Estimating Equation with Spline Smoothers

Jurnal Ilmu Dasar, 2018
Statistical modeling (regression analyses) have been growing rapidly into various directions to accommodate various data conditions. For longitudinal or repeated measures data, one of the suitable models is GEE (Generalized Estimating Equation).
Made Tirta, Dian Anggraeni
doaj   +1 more source

Associated Natural Exponential Families and Elliptic Functions [PDF]

, 2015
This paper studies the variance functions of the natural exponential families (NEF) on the real line of the form \((Am^4+Bm^2+C)^{1/2}\) where m denoting the mean. Surprisingly enough, most of them are discrete families concentrated on \(\lambda \mathbb {Z}\) for some constant \(\lambda \) and the Laplace transform of their elements are expressed by ...
openaire   +2 more sources

Increasing Hazard Rate of Mixtures for Natural Exponential Families [PDF]

Advances in Applied Probability, 2012
Hazard rates play an important role in various areas, e.g. reliability theory, survival analysis, biostatistics, queueing theory, and actuarial studies. Mixtures of distributions are also of great preeminence in such areas as most populations of components are indeed heterogeneous.
Bar-Lev, Shaul K., Letac, Gérard
openaire   +4 more sources

Boundedness of Variance Functions of Natural Exponential Families with Unbounded Support

Mathematics
The variance function (VF) is central to natural exponential family (NEF) theory. Prompted by an online query about whether, beyond the classical normal NEF, other real-line NEFs with bounded VFs exist, we establish three complementary sets of sufficient
Shaul K. Bar-Lev
doaj   +1 more source

Natural Exponential Families: Resolution of A Conjecture and Existence of Reduction Functions

, 2016
One-parameter natural exponential family (NEF) plays fundamental roles in probability and statistics. This article contains two independent results: (a) A conjecture of Bar-Lev, Bshouty and Enis states that a polynomial with a simple root at $0$ and a ...
Chen, Xiongzhi
core   +1 more source

Uniformly consistently estimating the proportion of false null hypotheses via Lebesgue-Stieltjes integral equations

, 2019
The proportion of false null hypotheses is a very important quantity in statistical modelling and inference based on the two-component mixture model and its extensions, and in control and estimation of the false discovery rate and false non-discovery ...
Chen, Xiongzhi
core   +1 more source

Nonparametric Information Geometry [PDF]

, 2013
The differential-geometric structure of the set of positive densities on a given measure space has raised the interest of many mathematicians after the discovery by C.R. Rao of the geometric meaning of the Fisher information.
A. Ambrosetti, A. Cena, A. Jenčová, A.P. Dawid, A.P. Dawid, B. Efron, C. Tsallis, C. Villani, D. Brigo, D. Imparato, E. Boros, F. Otto, G. Kaniadakis, G. Kaniadakis, G. Letac, G. Pistone, G. Pistone, G. Pistone, H. Gzyl, H. Gzyl, H. Shima, H. Upmeier, I. Csiszár, J. Appell, J. Musielak, J. Zhang, L. Ambrosio, L. Malagò, L. Malagò, L.D. Brown, M. Parry, M.M. Rao, M.R. Grasselli, N.J. Newton, O.E. Barndorff-Nielsen, O.E. Barndorff-Nielsen, P. Gibilisco, P. Gibilisco, R.A. Adams, S. Amari, S. Amari, S. Amari, S. Lang, S.I. Amari   +43 more
core   +1 more source

Hip Morphology–Based Osteoarthritis Risk Prediction Models: Development and External Validation Using Individual Participant Data From the World COACH Consortium

Arthritis Care &Research, EarlyView.
Objective This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the Worldwide Collaboration ...
Myrthe A. van den Berg, Fleur Boel, Michiel M. A. van Buuren, Noortje S. Riedstra, Jinchi Tang, Harbeer Ahedi, Nigel K. Arden, Sita M. A. Bierma‐Zeinstra, Cindy G. Boer, Flavia M. Cicuttini, Timothy F. Cootes, David T. Felson, Willem Paul Gielis, Joshua Heerey, Graeme Jones, Stefan Kluzek, Nancy E. Lane, Claudia Lindner, Joyce B. J. van Meurs, Andrea Mosler, Amanda E. Nelson, Michael C. Nevitt, Edwin H. Oei, Jos Runhaar, Harrie Weinans, Jesse H. Krijthe, Rintje Agricola   +26 more
wiley   +1 more source

Natural Exponential Families with Quadratic Variance Functions

The Annals of Statistics, 1982
The normal, Poisson, gamma, binomial, and negative binomial distributions are univariate natural exponential families with quadratic variance functions (the variance is at most a quadratic function of the mean). Only one other such family exists. Much theory is unified for these six natural exponential families by appeal to their quadratic variance ...
openaire   +2 more sources

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source