Results 41 to 50 of about 3,648,084 (297)

Residual and forecast methods in time series models with covariates [PDF]

, 1996
We are dealing with time series which are measured on an arbitrary scale, e.g. on a categorical or ordinal scale, and which are recorded together with time varying covariates.
Pruscha, H.
core   +1 more source

A Goodness-of-Fit Test for Log-Linearity in Cox Proportional Hazards Model Under Monotonic Covariate Effects

Mathematics
The Cox proportional hazards (PH) model is widely used because it models the covariates to the hazard through a log-linear effect. However, exploring flexible effects becomes desirable within the Cox PH framework when only a monotonic relationship ...
Huan Chen, Chuan-Fa Tang
doaj   +1 more source

Partial trisomy 9: prenatal diagnosis and recurrence within same family

Clinical Case Reports, 2017
Key Clinical Message Trisomy 9 can be suspected and confirmed in the prenatal period since the 11–13.6 weeks of screening. In cases of partial trisomy 9, the diagnosis is important especially to counseling the couple due to the increased likelihood of ...
Jana López‐Félix, Leticia Flores‐Gallegos, Luz Garduño‐Zarazúa, Teresa Leis‐Márquez, Luz Juárez‐García, Ricardo Meléndez‐Hernández, Ernesto Castelazo‐Morales, Dora Mayén‐Molina   +7 more
doaj   +1 more source

Bayesian Inference in Auditing with Partial Prior Information Using Maximum Entropy Priors

Entropy, 2018
Problems in statistical auditing are usually one⁻sided. In fact, the main interest for auditors is to determine the quantiles of the total amount of error, and then to compare these quantiles with a given materiality fixed by the auditor, so that ...
María Martel-Escobar, Francisco-José Vázquez-Polo, Agustín Hernández-Bastida   +2 more
doaj   +1 more source

Optimal bispectrum constraints on single-field models of inflation [PDF]

, 2014
We use WMAP 9-year bispectrum data to constrain the free parameters of an 'effective field theory' describing fluctuations in single-field inflation. The Lagrangian of the theory contains a finite number of operators associated with unknown mass scales ...
A. Achucarro, A.A. Starobinsky, A.A. Starobinsky, C. Burrage, C. Cheung, C. Cheung, D. Babich, D. Baumann, D. Baumann, D. Seery, D. Seery, D.M. Regan, David Seery, Donough Regan, G. Hailu, Gemma J. Anderson, J. Byun, J. Elliston, J. Elliston, J. Martin, J.M. Maldacena, J.R. Fergusson, J.R. Fergusson, L. Senatore, L. Senatore, L.V. Keldysh, L.V. Keldysh, M. Dias, N. Arkani-Hamed, N. Bartolo, N. Bartolo, N. Bartolo, P. Creminelli, P. Creminelli, P. Creminelli, P.D. Meerburg, Planck collaboration, R. Bean, R.H. Ribeiro, S. Hotchkiss, T. Battefeld, WMAP collaboration, WMAP collaboration, X. Chen   +43 more
core   +2 more sources

Empirical Likelihood‐Based Inferences for Generalized Partially Linear Models [PDF]

Scandinavian Journal of Statistics, 2009
Abstract. This paper considers generalized partially linear models. We propose empirical likelihood‐based statistics to construct confidence regions for the parametric and non‐parametric components. The resulting statistics are shown to be asymptotically chi‐square distributed.
Liang, Hua, Qin, Yongsong, Zhang, Xinyu, Ruppert, David   +3 more
openaire   +3 more sources

Partial Likelihood-Based Scoring Rules for Evaluating Density Forecasts in Tails [PDF]

, 2008
We propose new scoring rules based on partial likelihood for assessing the relative out-of-sample predictive accuracy of competing density forecasts over a specific region of interest, such as the left tail in financial risk management.
Dijk, Dick van, Diks, Cees, Panchenko, Valentyn   +2 more
core   +9 more sources

Theory of Partial Likelihood

The Annals of Statistics, 1986
This paper develops the asymptotic theory: consistency and asymptotic normality for estimators of a parameter \(\theta\) based upon partial likelihood or conditional likelihood in a rather general setting. It includes most of the results obtained in this area, among them we can quote \textit{J. D. Kalbfleisch} and \textit{D. A. Sprott} [J. R. Stat. Soc.
openaire   +2 more sources

Censored Partial Linear Models and Empirical Likelihood

Journal of Multivariate Analysis, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qin, GS, Jing, Bing Yi
openaire   +2 more sources

Adopting New Machine Learning Approaches on Cox’s Partial Likelihood Parameter Estimation for Predictive Maintenance Decisions

Machines
The Proportional Hazards Model (PHM) under a Condition-Based Maintenance (CBM) policy is used by asset-intensive industries to predict failure rate, reliability function, and maintenance decisions based on vital covariates data.
David R. Godoy, Víctor Álvarez, Rodrigo Mena, Pablo Viveros, Fredy Kristjanpoller   +4 more
doaj   +1 more source