✦ LIBER ✦

Two-Stage Least Squares Analysis of Hierarchical Linear Models

✍ Scribed by Dr. I. B. Onukogu

Publisher: John Wiley and Sons
Year: 1986
Tongue: English
Weight: 320 KB
Volume: 28
Category: Article
ISSN: 0323-3847
DOI: 10.1002/bimj.4710280609

No coin nor oath required. For personal study only.

✦ Synopsis

BUninlUly

This paper hes two major objectives. The first is to present a two-stage leaat square8 prooedure for estimation of the parameters in a linear model whose parameters are in themselves linear functions of some hyperparemeters. The eecond, and perhaps more important point, is that the new estimator can be shown to be generally more precise than either the Bayesian or the generalized eingle-stage least squares estimator reported by ~D L E Y and Sarmg (1972).

📜 SIMILAR VOLUMES

SECOND-STAGE LEAST SQUARES VERSUS PENALI

SECOND-STAGE LEAST SQUARES VERSUS PENALIZED QUASI-LIKELIHOOD FOR FITTING HIERARCHICAL MODELS IN EPIDEMIOLOGIC ANALYSES

✍ SANDER GREENLAND 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 257 KB

Hierarchical regression analysis holds much promise for epidemiologic analysis, but has as yet seen limited application because of lack of easily used software and the relatively lengthy run times of preferred fitting methods (such as true maximum likelihood and Bayesian approaches). This paper comp

Analysis of a two-stage least-squares fi

Analysis of a two-stage least-squares finite element method for the planar elasticity problem

✍ Suh-Yuh Yang; Ching L. Chang 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 163 KB 👁 3 views

A new "rst-order formulation for the two-dimensional elasticity equations is proposed by introducing additional variables which, called stresses here, are the derivatives of displacements. The resulted stress}displacement system can be further decomposed into two dependent subsystems, the stress sys

Use of correspondence analysis partial l

Use of correspondence analysis partial least squares on linear and unimodal data

✍ Jens C. Frisvad; Merete Norsker 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 483 KB

Correspondence analysis partial least squares (CA-PLS) has been compared with PLS conceming classification and prediction of unimodal growth temperature data and an example using infrared (IR) spectroscopy for predicting amounts of chemicals in mixtures. CA-PLS was very effective for ordinating the

Analysis of Two Linearized Problems Mode

Analysis of Two Linearized Problems Modeling Viscous Two-Layer Flows

✍ Konstantinas Pileckas ; Jürgen Socolowsky 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 395 KB 👁 1 views

Response surface analysis of two-stage s

Response surface analysis of two-stage stochastic linear programming with recourse

✍ T. Glenn Bailey; Paul A. Jensen; David P. Morton 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 429 KB 👁 2 views

We apply the techniques of response surface methodology (RSM) to approximate the objective function of a two-stage stochastic linear program with recourse. In particular, the objective function is estimated, in the region of optimality, by a quadratic function of the firststage decision variables. T

Multivariate modelling of the pharmaceut

Multivariate modelling of the pharmaceutical two-step process of wet granulation and tableting with multiblock partial least squares

✍ Johan A. Westerhuis; Pierre M. J. Coenegracht 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 133 KB 👁 1 views

The pharmaceutical process of wet granulation and tableting is described as a two-step process. Besides the process variables of both steps and the composition variables of the powder mixture, the physical properties of the intermediate granules are also used to model the crushing strength and disin