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[PDF] Top 20 Error Orthogonal Models: Structure, Operations and Inference

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Error Orthogonal Models: Structure, Operations and Inference

Error Orthogonal Models: Structure, Operations and Inference

... the models, rests on the point that in this way the algebraic structure of the models plays a central part leading to interesting results on the estimation of variance components and on the ... See full document

139

Estimation and Orthogonal Block Structure

Estimation and Orthogonal Block Structure

... [1] and [2]. Refer to [9] and [18] for historical developments of the mixed ...The inference for these models is centered on the estimation of treatment contrasts, see ...the orthogonal ... See full document

8

Complete and sufficient statistics and perfect families in orthogonal and error orthogonal normal models

Complete and sufficient statistics and perfect families in orthogonal and error orthogonal normal models

... algebraic structure of these models in the framework of commutative Jordan Algebras ...of models, are uniformly the best linear unbiased estimator (UBLUE), ... See full document

6

Inference for types and structured families of commutative orthogonal block structures

Inference for types and structured families of commutative orthogonal block structures

... Abstract Models with commutative orthogonal block structure, COBS, have orthog- onal block structure, OBS, and their least square estimators for estimable vectors are, as it will be ... See full document

38

Network motif identification and structure detection with exponential random graph models

Network motif identification and structure detection with exponential random graph models

... prokaryotic and eukaryotic, as well as the propagation of the various classes of ...RNA, and specialized proteins known as transcription factors, or ...species, and termination of the RNA ... See full document

15

Multivariate Copula-based SUR Tobit Models: A Modified Inference Function for Margins and Interval Estimation

Multivariate Copula-based SUR Tobit Models: A Modified Inference Function for Margins and Interval Estimation

... margins) and proceeded with the bivariate copula-based SUR Tobit model implementation through the proposed MIFM estimation method (which is a modified version of the IFM ...bivariate models’ parameters. ... See full document

174

Neuro-fuzzy modeling in bankruptcy prediction

Neuro-fuzzy modeling in bankruptcy prediction

... Messier and Hansen ...ratios), and then to generate a production system using attributes which correctly classify all the firms of the ...variable and the cut-off score) were defined by using ... See full document

10

THE CAUSAL RELATIONSHIP BETWEEN TAXES AND EXPENDITURES IN PORTUGAL: COINTEGRATION AND ERROR-CORRECTION MODELS

THE CAUSAL RELATIONSHIP BETWEEN TAXES AND EXPENDITURES IN PORTUGAL: COINTEGRATION AND ERROR-CORRECTION MODELS

... In this paper, besides the standard Granger c·ausality test, we use cointegration and error-correction modelling to investigate the causal linkage between government[r] ... See full document

18

Bringing molecules back into molecular evolution.

Bringing molecules back into molecular evolution.

... molecules, and proteins, have taken a back-seat in much computational molecular-evolution ...DNA and RNA sequences use an alphabet of four letters, protein sequences use an alphabet of 20, and the ... See full document

4

Szego polynomials: some relations to L-orthogonal and orthogonal polynomials

Szego polynomials: some relations to L-orthogonal and orthogonal polynomials

... polynomials and obtain some relations to certain self inversive orthogonal L-polynomials de ned on the unit circle and corresponding symmetric orthogonal polynomials on real ...inversive ... See full document

10

Likelihood-based Inference for Multivariate Regression Models using Synthetic Data

Likelihood-based Inference for Multivariate Regression Models using Synthetic Data

... method and on a new proposed sampling method that will be called Fixed-Posterior Predictive Sampling, and exact data analysis procedures are developed for both single and multiple imputation, for all ... See full document

110

DIELECTRIC CONSTANT OBTAINED FROM TDR AND VOLUMETRIC MOISTURE OF SOILS IN SOUTHERN BRAZIL

DIELECTRIC CONSTANT OBTAINED FROM TDR AND VOLUMETRIC MOISTURE OF SOILS IN SOUTHERN BRAZIL

... The model proposed by Topp et al. (1980) overestimated moisture content of the Hapludox from Campos Novos (SC) throughout the range observed, and underestimated lower moisture contents and overestimated the ... See full document

10

A new a posteriori error indicator and its mesh optimization for nonlocal concrete damage models

A new a posteriori error indicator and its mesh optimization for nonlocal concrete damage models

... propagation and coalescence of microcracks and ...density and orientation of microdefects a local representative internal variable of damage was introduced and a first damage model has been ... See full document

25

Hidden Markov models applied to a subsequence of the Xylella fastidiosa

Hidden Markov models applied to a subsequence of the Xylella fastidiosa

... XF1141 and XF1196, a total of 38,730 ...well-defined and contiguous regions. Region 1 starts at base 1 and goes as far as approxi- mately base ...7,402 and 21,723 and it is basically ... See full document

7

Another connection between orthogonal polynomials and L-orthogonal polynomials

Another connection between orthogonal polynomials and L-orthogonal polynomials

... of orthogonal Laurent polynomials or orthogonal L-polynomials associated with the measure ψ (see ...monic orthogonal polynomials, the polynomials Q ψ n are also unique and for convenience ... See full document

19

Model Predictive Approach to Precision Contouring Control for Feed Drive Systems

Model Predictive Approach to Precision Contouring Control for Feed Drive Systems

... (TCF) and Lo and Chung (1999) proposed the Tangential Contouring Controller (TCC) for biaxial motion, The proposed controller is based on a coordinate transformation between the X-Y frame and a ... See full document

8

Verification against perturbed analyses and observations

Verification against perturbed analyses and observations

... black, and the observations in blue, in green against the observations when the observation errors are accounted ...observation error of ...RMS error than verification against observations and ... See full document

9

Distinct metabolic profile of primary focal segmental glomerulosclerosis revealed by NMR-based metabolomics.

Distinct metabolic profile of primary focal segmental glomerulosclerosis revealed by NMR-based metabolomics.

... phased, and baseline ...for orthogonal partial least-squares discriminant analyses (OPLS-DA) by the software package SIMCA-P+ (Version ...[1]) and one orthogonal component (to [1]), however, ... See full document

10

Analysis of equilibrium in industrial variables through Error Correction Models

Analysis of equilibrium in industrial variables through Error Correction Models

... To apply SPC some assumptions are required in order to implement control charts. The sample data to be analyzed must come from a population that follows a Normal distribution and is independent and ... See full document

6

Barriers And Profits Of Distan ce Education In Operations Research Based Decision Analysis

Barriers And Profits Of Distan ce Education In Operations Research Based Decision Analysis

... design structure usually means that the View code partially becomes responsible for data processing – which does not conform to the MVC design ...processing and data persistence on the decision ... See full document

12

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