An inquiry into the merits of the Reformed doctrine of "imputation," as contrasted with those of "Catholic imputation;" or, The cardinal point of controversy between the Church of Rome and the Protestant high church: together with miscellaneous essays on the Catholic faith,

On cover: Catholic imputation.

The trial of Charles Random de Berenger, Sir Thomas Cochrane, commonly called Lord Cochrane, the Hon. Andrew Cochrane Johnstone, Richard Gathorne Butt, Ralph Sandom, Alexander M'Rae, John Peter Holloway and Henry Lyte for a conspiracy : in the court of King's Bench, Guildhall, on Wednesday the 8th and Thursday the 9th of June, 1814 ... /

Mode of access: Internet.

Random shots from a rifleman.

Mode of access: Internet.

A year of travel : random notes of a trip around the world, June, 1911 to June 1912 /

Mode of access: Internet.

The British senate; or, A second series of Random recollections of the Lords and Commons.

Mode of access: Internet.

Miscellaneous works. Complete in one volume, containing Roderick Random, Peregrine Pickel, Ferdinand Count Fathom, Sir Launcelot, Greaves, Humphry Clinker, Adventures of an atom, Travels through France and Italy, Expedition against Carthagena [and] plays and poems.

Mode of access: Internet.

The adventures of Roderick Random.

Mode of access: Internet.

The adventures of Roderick Random /

Added t.-p., illus.

Random vibration : decrease corporate cost increase fleet readiness /

NAVELEX final technical report, December 1978.

Propagation of spherical waves in a weak random medium.

"NsG 24-59. Sponsored by National Aeronautics and Space Administration."

Response of a cantilever beam to non-stationary and stationary random excitation

Mode of access: Internet.

Roderick Random.

Caption title: The adventures of Roderick Random.

Random recursion

Thesis (Ph.D.)--University of Washington, 2016-06

Finite mixture regression model with random effects: application to neonatal hospital length of stay

A two-component mixture regression model that allows simultaneously for heterogeneity and dependency among observations is proposed. By specifying random effects explicitly in the linear predictor of the mixture probability and the mixture components, parameter estimation is achieved by maximising the corresponding best linear unbiased prediction type log-likelihood. Approximate residual maximum likelihood estimates are obtained via an EM algorithm in the manner of generalised linear mixed model (GLMM). The method can be extended to a g-component mixture regression model with the component density from the exponential family, leading to the development of the class of finite mixture GLMM. For illustration, the method is applied to analyse neonatal length of stay (LOS). It is shown that identification of pertinent factors that influence hospital LOS can provide important information for health care planning and resource allocation. (C) 2002 Elsevier Science B.V. All rights reserved.